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R/readSBMLmod.R
In sybilSBML: 'SBML' Integration in Package 'Sybil'
Defines functions
readSBMLmod
Documented in
readSBMLmod
#------------------------------------------------------------------------------#
# Link to libSBML for sybil #
#------------------------------------------------------------------------------#
# readSBMLmod.R
# Link to libSBML for sybil.
#
# Copyright (C) 2010-2013 Gabriel Gelius-Dietrich, Dpt. for Bioinformatics,
# Institute for Informatics, Heinrich-Heine-University, Duesseldorf, Germany.
# All right reserved.
# Email: geliudie@uni-duesseldorf.de
#
# This file is part of sybilSBML.
#
# SybilSBML is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# SybilSBML is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with sybilSBML. If not, see <http://www.gnu.org/licenses/>.
################################################
# Function: readSBMLmod
#
#
# The function readSBMLmod() is inspired by the function
# readCbModel() contained in the COBRA Toolbox.
# The algorithm is basically the same.
readSBMLmod <- function(filename, description,
def_bnd = SYBIL_SETTINGS("MAXIMUM"),
validateSBML = FALSE,
extMetFlag = "b",
bndCond = TRUE,
ignoreNoAn = FALSE,
mergeMet = TRUE,
balanceReact = TRUE,
remUnusedMetReact = TRUE,
singletonMet = FALSE,
deadEndMet = FALSE,
remMet = FALSE,
constrMet = FALSE,
tol = SYBIL_SETTINGS("TOLERANCE")) {
on.exit(expr = {
if ( (exists("sbmldoc")) && (!isNULLpointerSBML(sbmldoc)) ) {
closeSBMLfile(sbmldoc)
}
} )
#------------------------------------------------------------------------------#
# Does the model file exist?
if ( file.exists(filename) == FALSE ) {
stop("failed to open file ", sQuote(filename))
}
# set description to filename, if not set
if (missing(description)) {
mdesc <- filename
}
else {
mdesc <- description
}
#------------------------------------------------------------------------------#
# some functions we use to create the model #
#------------------------------------------------------------------------------#
#------------------------------------------------------------------------------#
# X containes metabolite id's (an object of class "SpeciesReference"). The slot
# "species" contains metabolite id. The function entryforS() gets the array
# index of X from the vector "sybil::met_id(sbml)", which is the line number in
# the stoichiometric matrix S.
#------------------------------------------------------------------------------#
entryforS <- function(X) {
n <- length(X[["species"]]) # number of metabolites in X
si <- rep(i, n) # the current column (reaction)
sj <- integer(n) # the row (metabolite)
s_ji <- numeric(n) # the stoichiometric coefficient
remMet <- logical(n) # metabolite removed from the initial metabolite list?
CURR_MET <- character(n) # metabolites in X
t <- 0
# over all metabolite IDs:
for (i in seq(along = X[["species"]])) {
t <- t + 1
# This is possible, because the metabolite id's are unique.
# Keep in mind!
# The metabolite id's are removed from the metabolites list,
# but not from the reactions list.
CURR_MET[t] <- X[["species"]][i] # get current metabolite ID
if (isTRUE(mergeMet)) {
# find out, if the current metabolite is already in the list and remember matching position in CURR_MET vector:
met_indCURR <- match(CURR_MET[t], CURR_MET[-t])
}
else {
met_indCURR <- NA
}
if (is.na(met_indCURR)) {# if we don't have to merge metabolite --> check this!####
sj[t] <- match(X[["species"]][i], met_id_tmp) # the row number
s_ji[t] <- X[["stoichiometry"]][i]
remMet[t] <- ifelse(is.na(sj[t]), FALSE, TRUE) #
}
else {# we have to merge metabolite --> check this!####
remMet[t] <- FALSE
s_ji[met_indCURR] <- s_ji[met_indCURR] + X[["stoichiometry"]][i]
msg <- paste("reaction no.", i, dQuote(react_id_tmp[i]),
"metabolite no.", t, dQuote(CURR_MET[t]),
"was merged")
warning(msg, call. = FALSE)
}
# if (is.na(sj[t])) { # if the current reaction is an
# return(FALSE) # exchange reaction, sj[t] will
# } # be NA. So we'll leave s_ij[t]
# else { # at zero.
# s_ji[t] <- el@stoichiometry # the stoichiometric coefficient
# }
}
#metUnq <- unique(sj[remMet])
return(list(sj = sj[remMet], si = si[remMet], s_ji = s_ji[remMet]))
}
#------------------------------------------------------------------------------#
# Check the absolute value of a reaction bound (vmin, vmax). If it is larger
# than def_bnd, it will be replaced by def_bnd.
#------------------------------------------------------------------------------#
checkupplowbnd <- function(x) {
if (abs(x) > def_bnd) {
bound <- def_bnd
if (x < 0) {
bound <- bound * -1
}
}
else {
bound <- x
}
return(bound)
}
#------------------------------------------------------------------------------#
# A control function. For every part in the SBML file, the Id's are a mandatory
# argument. Here we check, if they are all brave and there.
#------------------------------------------------------------------------------#
missingId <- function(x) {
mid <- which(x[["id"]] == "no_id")
if (length(mid) > 0) {
warning("id is missing in ", is(x)[1], ": ", paste(mid, collapse = ", "))
}
return(TRUE)
}
#------------------------------------------------------------------------------#
# beautify SBML id's
#------------------------------------------------------------------------------#
formatSBMLid <- function(idstr) {
idstr <- gsub("-DASH-", "-", idstr, fixed = TRUE)
idstr <- gsub("_DASH_", "-", idstr, fixed = TRUE)
#idstr <- gsub("_FSLASH_", "/", idstr, fixed = TRUE)
#idstr <- gsub("_BSLASH_", "\\", idstr, fixed = TRUE)
idstr <- gsub("_LPAREN_", "(", idstr, fixed = TRUE)
idstr <- gsub("_RPAREN_", ")", idstr, fixed = TRUE)
idstr <- gsub("_LSQBKT_", "[", idstr, fixed = TRUE)
idstr <- gsub("_RSQBKT_", "]", idstr, fixed = TRUE)
idstr <- gsub("_COMMA_", ",", idstr, fixed = TRUE)
idstr <- gsub("_PERIOD_", ".", idstr, fixed = TRUE)
idstr <- gsub("_APOS_", "'", idstr, fixed = TRUE)
idstr <- sub( "_e_?$", "(e)", idstr) # nicer formatting of exchange reactions
idstr <- gsub("-", "_", idstr, fixed = TRUE)
#idstr <- gsub("&", "&", idstr, fixed = TRUE)
#idstr <- gsub("<", "<", idstr, fixed = TRUE)
#idstr <- gsub(">", ">", idstr, fixed = TRUE)
#idstr <- gsub(""", "\"", idstr, fixed = TRUE)
return(idstr)
}
#------------------------------------------------------------------------------#
# parse the notes field of the reactions
# (notes is a character string)
# extract gpr rules and subsystem from notes
#------------------------------------------------------------------------------#
parseNotesReact <- function(notes) {
if (regexpr("html:p", notes, fixed = TRUE) == -1) {
tag <- "p"
}
else {
tag <- "html:p"
}
split <- paste("<", tag, ">", sep = "")
#split <- "\n"
fields <- strsplit(notes, split, fixed = TRUE)
# print(fields)
# fields now contains a list in which each item is a vector with the strings separated by the <p> or <html:p> respectively
# we only have one element in the list here.
# extract the actual notes between the opening and closing tags:
start_tag <- paste("<", tag, ">", sep = "")
end_tag <- paste("</", tag, ">", sep = "")
regex <- paste("^(?:[\\t]*\\Q", start_tag, "\\E)?", "(.*)", "\\Q", end_tag, "\\E", "(?s).*$", sep = "")
#regex <- paste("(.*)", end_tag, "(?s).*$", sep = "")
#print(regex)
fields_str <- sub(regex, "\\1", fields[[1]], perl = TRUE)
#print(fields_str)
# fields_str should now contain a vector of the actual notes without surrounding tags
# extract gpr rule (genes and rules) and subsystem from notes:
subSyst <- ""# no sub system
gpr <- ""# no gene to protein to reaction interaction
gene_rule <- NA
for (j in 1:length(fields_str)) {
# Do we have a "GENE_ASSOCIATION" or "GENE ASSOCIATION" or GENEASSOCIATION?
if (grepl("GENE[_ ]?ASSOCIATION", fields_str[j])) {
#if (charmatch("GENE", fields_str[j], nomatch = -1) != -1) {
gpr <- sub("GENE[_ ]?ASSOCIATION: *", "", fields_str[j])# delete the text, remaining gpr
# get the unique gene names and the rule with the x[gene number] codes:
gene_rule <- sybil:::.parseBoolean(gpr)# parse gene rule
#print(gene_rule)
}#Ardalan Habil
# Or do we have a "GPR_ASSOCIATION" or "GPR ASSOCIATION" or GPRASSOCIATION?
else if (grepl("GPR[_ ]?ASSOCIATION", fields_str[j])) {
gpr <- sub("GPR[_ ]?ASSOCIATION: *", "", fields_str[j])
# get the unique gene names and the rule with the x[gene number] codes:
gene_rule <- sybil:::.parseBoolean(gpr)
}
# Do we have a "SUBSYSTEM"?
if (charmatch("SUBSYSTEM", fields_str[j], nomatch = -1) != -1) {
# remove SUBSYSTEM with trailing trailing spaces, then remove the S_ at the beginning, then exchange all _ by spaces:
subSyst <- sub("SUBSYSTEM: *", "", fields_str[j])
subSyst <- sub("^S_", "", subSyst, perl = TRUE)
subSyst <- gsub("[_]+", " ", subSyst)
#if (nchar(subSyst) == 0) {
# subSyst <- "Exchange"
#}
#print(subSyst)
}
}
if (!is.list(gene_rule)) {
gene_rule <- sybil:::.parseBoolean("")
}
# return sub system, genes, and rules:
return(list(sub_system = subSyst, genes = gene_rule$gene, rules = gene_rule$rule, gpr = gpr))
}
#------------------------------------------------------------------------------#
# main part of the script #
#------------------------------------------------------------------------------#
#------------------------------------------------------------------------------#
# reading the model #
#------------------------------------------------------------------------------#
message("reading SBML file ... ", appendLF = FALSE)
sbmldoc <- openSBMLfile(filename)
message("OK")
# warning, if FBC plugin is missing:
if (isAvailableFbcPlugin() == FALSE) {
warning("Missing FBC-plugin for libSBML. FBC constraints will be ignored.")
}
# warning, if Groups plugin is missing:
if (isAvailableGroupsPlugin() == FALSE) {
warning("Missing Groups-plugin for libSBML. Groups will be ignored.")
}
# warning if new Version/Level/
SBMLlevel<- getSBMLlevel(sbmldoc)
SBMLversion<- getSBMLversion(sbmldoc)
FBCversion<-getSBMLFbcversion(sbmldoc)
if(SBMLlevel == 3 && SBMLversion > 1)
warning(paste("No support for Level 3 Version ",SBMLversion))
if (FBCversion > 2)
warning(paste("No support for Fbc Version ",FBCversion))
#------------------------------------------------------------------------------#
# check the model #
#------------------------------------------------------------------------------#
if (isTRUE(validateSBML)) {
message("validating SBML file ... ", appendLF = FALSE)
check <- validateSBMLdocument(sbmldoc) # check for errors
if (!isTRUE(check)) {
err <- getSBMLerrors(sbmldoc)
nerr <- getNumErrors(err)
if (nerr["Errors"] > 0) {
message("found errors, trying to fix ... ", appendLF = FALSE)
closeSBMLfile(sbmldoc)
hackedModel <- .uglyHack(filename)
sbmldoc <- openSBMLfile(hackedModel)
unlink(hackedModel)
remove(hackedModel)
check <- validateSBMLdocument(sbmldoc)
if (!isTRUE(check)) {
sbmlerr <- getSBMLerrors(sbmldoc)
nerr <- getNumErrors(sbmlerr)
if ((nerr["Errors"] > 0) ||
(nerr["Fatals"] > 0)) {
msg <- paste("FAILED: review file", dQuote(filename),
"carefully, returning sbmlError object")
warning(msg)
return(sbmlerr)
}
else {
msg <- paste("found warnings and/or infos concerning SBML,",
"you may want to check them with the command",
sQuote(paste("validateSBMLdocument('", filename, "')", sep = "")), "... ")
message(msg, appendLF = FALSE)
#printSlot(sbmlerr, "Warnings")
}
}
}
else if (nerr["Fatals"] > 0) {
msg <- paste("FAILED review file", dQuote(filename),
"carefully, returning sbmlError object")
warning(msg)
return(sbmlerr)
}
else {
msg <- paste("found warnings and/or infos concerning SBML,",
"you may want to check them with the command",
sQuote(paste("validateSBMLdocument('", filename, "')", sep = "")), "... ")
message(msg, appendLF = FALSE)
}
}
message("OK")
}
#------------------------------------------------------------------------------#
# generate modelorg object #
#------------------------------------------------------------------------------#
message("getting the model ... ", appendLF = FALSE)
sbmlmod <- getSBMLmodel(sbmldoc)
if (is.null(sbmlmod)) {
message("FAILED")
stop("Could not get the SBML model. Run SBML validation by ",
"validateSBMLdocument('", filename, "').")
}
mid <- ifelse(length(getSBMLmodId(sbmlmod)) == 0, filename, getSBMLmodId(sbmlmod))
mname <- ifelse(length(getSBMLmodName(sbmlmod)) == 0, filename, getSBMLmodName(sbmlmod))
mod <- sybil::modelorg(mid, mname) # S4 object of class modelorg
message("OK")
#------------------------------------------------------------------------------#
# model description #
#------------------------------------------------------------------------------#
if (mdesc == filename) {
mdesc <- sub("\\.xml$", "", basename(filename))
}
sybil::mod_desc(mod) <- mdesc
#------------------------------------------------------------------------------#
# units #
#------------------------------------------------------------------------------#
# I have to do this, but later (2007-08-14)
#------------------------------------------------------------------------------#
# compartments #
#------------------------------------------------------------------------------#
compartmentsList <- getSBMLCompartList(sbmlmod)
if (is.null(compartmentsList)) {
stop("file '", filename, "' has an empty listOfCompartments section")
}
missingId(compartmentsList)
comp_tmp_id <- compartmentsList[["id"]]
#------------------------------------------------------------------------------#
# initial reactions list #
#------------------------------------------------------------------------------#
reactionsList <- getSBMLReactionsList(sbmlmod)
if (is.null(reactionsList)) {
stop("file '", filename, "' has an empty listOfReactions section")
}
missingId(reactionsList)
react_id_tmp <- reactionsList[["id"]]
numreact <- getSBMLnumReactions(sbmlmod)
#------------------------------------------------------------------------------#
# initial metabolites list #
#------------------------------------------------------------------------------#
metabolitesList <- getSBMLSpeciesList(sbmlmod)
if (is.null(metabolitesList)) {
stop("file '", filename, "' has an empty listOfSpecies section")
}
missingId(metabolitesList)
metSpIds <- metabolitesList[["id"]]# Metabolites IDs
#nummet <- getSBMLnumSpecies(sbmlmod)
if (isTRUE(bndCond)) {
metSpBnd <- metabolitesList[["boundaryCondition"]]# TRUE for external, FALSE for internal metabolites
met_id_pos <- !metSpBnd# TRUE for internal metabolites
}
else {
# regular expression to identify external metabolites
extMetRegEx <- paste("_", extMetFlag, "$", sep = "")
met_id_pos <- grep(extMetRegEx, metSpIds, invert = TRUE)# positions of internal metabolites
}
met_id_tmp <- metSpIds[met_id_pos]# IDs of internal metabolites
# number of metabolites
nummet <- length(met_id_tmp)# No. internal metabolites
#------------------------------------------------------------------------------#
# reversibilities #
#------------------------------------------------------------------------------#
react_rev_tmp <- reactionsList[["reversible"]]
#------------------------------------------------------------------------------#
# data structures #
#------------------------------------------------------------------------------#
#S <- matrix(0, nummet, numreact)
St <- Matrix::Matrix(0, nrow = nummet, ncol = numreact, sparse = TRUE)
lbnd <- numeric(numreact) # v min
ubnd <- numeric(numreact) # v max
ocof <- numeric(numreact) # objective coefficients
#------------------------------------------------------------------------------#
# S matrix and constraints, gpr #
#------------------------------------------------------------------------------#
message("creating S and parsing constraints ... ", appendLF = FALSE)
# for the gpr stuff
subSys <- character(numreact)
genes <- list(numreact)
rules <- character(numreact)
gpr <- character(numreact)
#allGenes <- character(0)
# Only one entry, because if one reaction has a notes
# field, all others are supposed to have one. Otherwise
# the gpr stuff does not make sense.
hasNotes <- FALSE
hasAnnot <- FALSE
#FBC contraints @Ardalan Habil
fbclowbnd<-reactionsList[["fbc_lowbnd"]]
fbcuppbnd<-reactionsList[["fbc_uppbnd"]]
fbcgprRules<-reactionsList[["fbc_gprRules"]]
fbcObjectives<-reactionsList[["fbc_Objectives"]]
for (i in 1 : numreact) {
# the notes/annotations field
notes <- reactionsList[["notes"]][i]
annot <- reactionsList[["annotation"]][i]
# Notes und Annotation can be null ( @Ardalan Habil)
if(!is.null( reactionsList[["notes"]]))
if (nchar(notes) > 0) {
hasNotes <- TRUE
notes_field <- parseNotesReact(notes)
#print(notes_field)
subSys[i] <- notes_field$sub_system # the reaction's sub system: glykolysis, TCA, ...
genes[[i]] <- notes_field$genes # list of genes
rules[i] <- notes_field$rules # rules
gpr[i] <- notes_field$gpr # original gpr association
#allGenes <- c(allGenes, genes[[i]])
}
else {
if(!is.null( reactionsList[["annotation"]]))
if (nchar(annot) > 0) {
hasAnnot <- TRUE
pn <- regexpr("Pathway Name: [^<]+", annot, perl = TRUE)
subSys[i] <- substr(annot, (pn+14), pn + ((attr(pn, "match.length"))-1))
}
}
# get flux balance constraints, if fbcgprRules not null
fbcgene_rule <- NA
if ( !is.null(fbcgprRules))
{
# get the unique gene names and the rule with the x[gene number] codes:
fbcgene_rule<- sybil:::.parseBoolean(fbcgprRules[i])
genes[[i]] <- fbcgene_rule$gene # list of genes
rules[i] <- fbcgene_rule$rule # rules
gpr[i] <- fbcgprRules[i]
}
# Check here if reactants and products lists exist, same for the stoichiometry slot
# Entries for S -- the reactants
S_tmp <- entryforS(reactionsList[["reactants"]][[i]])# todo: have to give i and met_id_tmp as argument, right now they are global (confusing)
#print(S_tmp)
if (is.list(S_tmp) == TRUE) {
# set stoichiometric matrix, values are set negative (reactants)
St[S_tmp$sj, i] <- (S_tmp$s_ji * -1)
#St[S_tmp$sj, S_tmp$si] <- (S_tmp$s_ji * -1)
}
# Check here if S_tmp is FALSE. Should only be the case in
# the products slot due to the exclusion of external metabolites.
# In that case, the current reaction must be an exchange reaction.
# else {
# print(rsbml::reactions(rsbml::model(Mod))[[i]]@id)
# print(S_tmp)
# stop("something is wrong here")
# }
# Entries for S -- the products
S_tmp <- entryforS(reactionsList[["products"]][[i]])
if (length(S_tmp[["s_ji"]]) > 0) {
#print(S_tmp)
if (isTRUE(balanceReact)) {
nnull <- St[S_tmp$sj, i] == 0
St[S_tmp$sj, i] <- St[S_tmp$sj, i] + S_tmp$s_ji
if ( any(nnull == FALSE) ) {
msg <- paste("reaction no.", i,
dQuote(react_id_tmp[i]), sum(!nnull),
ngettext(sum(!nnull),
"metabolite was balanced",
"metabolites were balanced:\n\t"),
paste(dQuote(met_id_tmp[S_tmp$sj[!nnull]]),
collapse = "\n\t "))
warning(msg, call. = FALSE)
}
}
else {
St[S_tmp$sj, i] <- S_tmp$s_ji
}
}
# else {
# print(rsbml::reactions(rsbml::model(Mod))[[i]]@id)
# print(S_tmp)
# stop("something is wrong here")
# }
# the constraints
#FBC contraints @Ardalan Habil
if ( !is.null(fbclowbnd) && !is.null(fbcuppbnd))
{
lbnd[i] <- checkupplowbnd(fbclowbnd[i])
ubnd[i] <- checkupplowbnd(fbcuppbnd[i])
}
#read from kinetic_law if fbc is empty
else
{
parm <- reactionsList[["kinetic_law"]][[i]]
if (is.null(parm)) {
ubnd[i] <- def_bnd
if (isTRUE(react_rev_tmp[i])) {
lbnd[i] <- -1 * def_bnd
}
else {
lbnd[i] <- 0
}
ocof[i] <- 0
}
else {
for (j in seq(along = parm[["id"]])) {
if (parm[["id"]][j] == "LOWER_BOUND") {
lbnd[i] <- checkupplowbnd(parm[["value"]][j])
}
if (parm[["id"]][j] == "UPPER_BOUND") {
ubnd[i] <- checkupplowbnd(parm[["value"]][j])
}
if (parm[["id"]][j] == "OBJECTIVE_COEFFICIENT") {
ocof[i] <- parm[["value"]][j]
}
# flux value? (sbml file)
# reduced cost? (sbml file)
}
}
}
#FBC Objective @Ardalan Habil
if(!is.null(fbcObjectives))
{
ocof[i]<-as.numeric(fbcObjectives[i])
}
}
# get subsystem properties from the sbml groups plugin
subSysGroups <- getSBMLGroupsList(sbmlmod)
# ---------------------------------------------------------------------------- #
# search for unused metabolites and unused reactions
# binary version of stoichiometric matrix
#Stb <- St != 0
Stb <- abs(St) > tol
SKIP_METABOLITE <- rowSums(Stb) != 0
SKIP_REACTION <- colSums(Stb) != 0
if (isTRUE(remUnusedMetReact)) {
did <- "and therefore removed from S:"
}
else {
did <- "in S:"
}
# ---------------------------------------------------------------------------- #
# empty rows
if ( any(SKIP_METABOLITE == FALSE) ) {
met_list <- paste(dQuote(met_id_tmp[!SKIP_METABOLITE]),
collapse = "\n\t")
nmet_list <- sum(!SKIP_METABOLITE)
msg_part <- paste("not used in any reaction", did)
msg <- sprintf(ngettext(nmet_list,
"%d metabolite is %s %s",
"%d metabolites are %s\n\t%s"),
nmet_list, msg_part, met_list)
warning(msg, call. = FALSE)
}
# ---------------------------------------------------------------------------- #
# empty columns
if ( any(SKIP_REACTION == FALSE) ) {
react_list <- paste(dQuote(react_id_tmp[!SKIP_REACTION]),
collapse = "\n\t")
nreact_list <- sum(!SKIP_REACTION)
msg_part <- paste("not used", did)
msg <- sprintf(ngettext(nreact_list,
"%d reaction is %s %s",
"%d reactions are %s\n\t%s"),
nreact_list, msg_part, react_list)
warning(msg, call. = FALSE)
}
# if we do not want to remove, mark them as to skip
if (!isTRUE(remUnusedMetReact)) {
SKIP_METABOLITE[!SKIP_METABOLITE] <- TRUE
SKIP_REACTION[!SKIP_REACTION] <- TRUE
}
# ---------------------------------------------------------------------------- #
# single metabolites
sing_met <- rep(NA, nrow(St))
sing_react <- rep(NA, ncol(St))
if (isTRUE(singletonMet)) {
message("identifying reactions containing single metabolites ... ", appendLF = FALSE)
singleton <- sybil:::.singletonMetabolite(mat = Stb)
sing_met[!singleton$smet] <- FALSE
sing_react[!singleton$sreact] <- FALSE
sing_met[singleton$smet] <- TRUE
sing_react[singleton$sreact] <- TRUE
# singleton metabolites found?
if (sum(singleton$smet) > 0) {
if ( xor(isTRUE(constrMet), isTRUE(remMet)) ) {
if (isTRUE(constrMet)) {
# set to zero
did_watm <- "identified"
did_watr <- "constrained"
}
else {
# remove
SKIP_METABOLITE[singleton$smet] <- FALSE
SKIP_REACTION[singleton$sreact] <- FALSE
did_watm <- "removed"
did_watr <- "removed"
}
met_list <- paste(dQuote(met_id_tmp[singleton$smet]),
collapse = "\n\t")
nmet_list <- sum(singleton$smet)
react_list <- paste(dQuote(react_id_tmp[singleton$sreact]),
collapse = "\n\t")
nreact_list <- sum(singleton$sreact)
msgm <- sprintf(ngettext(nmet_list,
"%s %d singleton metabolite: %s",
"%s %d singleton metabolites:\n\t%s"),
did_watm, nmet_list, met_list)
msgr <- sprintf(ngettext(nreact_list,
"%s %d reaction containing singleton metabolites: %s",
"%s %d reactions containing singleton metabolites:\n\t%s"),
did_watr, nreact_list, react_list)
#warning(paste(msgm, msgr, sep = "\n\t "))
warning(msgm, call. = FALSE)
warning(msgr, call. = FALSE)
}
else {
met_list <- paste(dQuote(met_id_tmp[singleton$smet]),
collapse = "\n\t")
nmet_list <- sum(singleton$smet)
msg <- sprintf(ngettext(nmet_list,
"%d metabolite is singleton in S: %s",
"%d metabolites are singletons in S:\n\t%s"),
nmet_list, met_list)
warning(msg, call. = FALSE)
}
}
else {
message("nothing found ... ", appendLF = FALSE)
sing_met <- logical(nrow(St))
sing_react <- logical(ncol(St))
}
}
# ---------------------------------------------------------------------------- #
# dead end metabolites
de_met <- rep(NA, nrow(St))
de_react <- rep(NA, ncol(St))
if (isTRUE(deadEndMet)) {
message("identifying reactions containing dead end metabolites ... ", appendLF = FALSE)
demr <- sybil:::.deadEndMetabolite(mat = St,
lb = lbnd,
exclM = sing_met,
exclR = sing_react,
tol = tol)
de_met[!demr$dem] <- FALSE
de_react[!demr$der] <- FALSE
de_met[demr$dem] <- TRUE
de_react[demr$der] <- TRUE
# dead end metabolites found?
if (sum(demr$dem) > 0) {
if ( xor(isTRUE(constrMet), isTRUE(remMet)) ) {
if (isTRUE(constrMet)) {
# set to zero
did_watm <- "identified"
did_watr <- "constrained"
}
else {
# remove
SKIP_METABOLITE[demr$dem] <- FALSE
SKIP_REACTION[demr$der] <- FALSE
did_watm <- "removed"
did_watr <- "removed"
}
met_list <- paste(dQuote(met_id_tmp[demr$dem]),
collapse = "\n\t")
nmet_list <- sum(demr$dem)
react_list <- paste(dQuote(react_id_tmp[demr$der]),
collapse = "\n\t")
nreact_list <- sum(demr$der)
msgm <- sprintf(ngettext(nmet_list,
"%s %d dead end metabolite: %s",
"%s %d dead end metabolites:\n\t%s"),
did_watm, nmet_list, met_list)
msgr <- sprintf(ngettext(nreact_list,
"%s %d reaction containing dead end metabolites: %s",
"%s %d reactions containing dead end metabolites:\n\t%s"),
did_watr, nreact_list, react_list)
warning(msgm, call. = FALSE)
warning(msgr, call. = FALSE)
}
else {
met_list <- paste(dQuote(met_id_tmp[demr$dem]),
collapse = "\n\t")
nmet_list <- sum(demr$dem)
msg <- sprintf(ngettext(nmet_list,
"%d dead end metabolite in S: %s",
"%d dead end metabolites in S:\n\t%s"),
nmet_list, met_list)
warning(msg, call. = FALSE)
}
}
else {
message("nothing found ... ", appendLF = FALSE)
de_met <- logical(nrow(St))
de_react <- logical(ncol(St))
}
}
# ---------------------------------------------------------------------------- #
# S
# only keep metabolites and reactions where SKIP mark is TRUE, remove the rest
St <- St[SKIP_METABOLITE, , drop = FALSE]
St <- St[ , SKIP_REACTION, drop = FALSE]
sybil::S(mod) <- St
#remove(St)
#sbml@S <- S
#remove(S)
# NNZ <- nonZeroElements(S(sbml))
#
# Sne(sbml) <- NNZ$ne
# Sia(sbml) <- NNZ$ia
# Sja(sbml) <- NNZ$ja
# Sar(sbml) <- NNZ$ar
numreact <- sum(SKIP_REACTION)
sybil::met_num(mod) <- sum(SKIP_METABOLITE)
sybil::react_num(mod) <- numreact
sybil::met_single(mod) <- sing_met[SKIP_METABOLITE]
sybil::react_single(mod) <- sing_react[SKIP_REACTION]
sybil::met_de(mod) <- de_met[SKIP_METABOLITE]
sybil::react_de(mod) <- de_react[SKIP_REACTION]
if (isTRUE(constrMet)) {
lbnd[sing_react] <- 0
ubnd[sing_react] <- 0
lbnd[de_react] <- 0
ubnd[de_react] <- 0
}
else {}
sybil::lowbnd(mod) <- lbnd[SKIP_REACTION]
sybil::uppbnd(mod) <- ubnd[SKIP_REACTION]
sybil::obj_coef(mod) <- ocof[SKIP_REACTION]
message("OK")
#------------------------------------------------------------------------------#
# gene to reaction mapping #
#------------------------------------------------------------------------------#
if (isTRUE(ignoreNoAn)) {
sybil::gprRules(mod) <- character(numreact)
sybil::genes(mod) <- vector(mode = "list", length = numreact)
sybil::gpr(mod) <- character(numreact)
sybil::allGenes(mod) <- character(numreact)
sybil::rxnGeneMat(mod) <- Matrix::Matrix(FALSE, nrow = numreact, ncol = numreact, sparse = TRUE)
sybil::subSys(mod) <- Matrix::Matrix(FALSE, nrow = numreact, ncol = 1, sparse = TRUE)
}
else {
subSys <- subSys[SKIP_REACTION]
genes <- genes[SKIP_REACTION]
rules <- rules[SKIP_REACTION]
gpr <- gpr[SKIP_REACTION]
# if there were fbcgprRules or notes with gpr rules,
# create reaction x nGene matrix, with TRUE for respective genes for each reaction
if (isTRUE(hasNotes) || !is.null(fbcgprRules) ) {
message("GPR mapping ... ", appendLF = FALSE)
# Vector with all gene names != "":
allGenesTMP <- unique(unlist(genes))
temp <- nchar(allGenesTMP)
allGenes <- allGenesTMP[which(temp != 0)]
# reaction x nGene matrix initialization with FALSE:
rxnGeneMat <- Matrix::Matrix(FALSE,
nrow = numreact,
ncol = length(allGenes),
sparse = TRUE)
for (i in 1 : numreact) {
# if genes list element i has only 1 element and that element is not equal ""
if ( (length(genes[[i]] == 1)) && all(genes[[i]] != "") ) {
geneInd <- match(genes[[i]], allGenes)# find gene in allGenes
# Mark which genes are used in reaction with TRUE
rxnGeneMat[i, geneInd] <- TRUE
# exchange x(j) with x[j] for each gene index:
for (j in 1 : length(geneInd)) {
pat <- paste("x(", j, ")", sep = "")
repl <- paste("x[", geneInd[j], "]", sep = "")
rules[i] <- gsub(pat, repl, rules[i], fixed = TRUE)
}
}
}
#
sybil::genes(mod) <- genes
sybil::gpr(mod) <- gpr
sybil::allGenes(mod) <- allGenes
sybil::gprRules(mod) <- rules
sybil::rxnGeneMat(mod) <- rxnGeneMat
#sybil::subSys(mod) <- subSys
if(is.null(subSysGroups)){
sybil::subSys(mod) <- sybil:::.prepareSubSysMatrix(subSys, numreact)
}
#sbml@gprRules <- rules
#sbml@genes <- genes
#sbml@gpr <- gpr
#sbml@allGenes <- allGenes
#sbml@subSys <- subSys
message("OK")
}
else {# no notes and no fbcgprRules:
sybil::rxnGeneMat(mod) <- Matrix::Matrix(NA, nrow = 0, ncol = 0)
if (isTRUE(hasAnnot)) {
# then we extracted the subsystem from annotation, so set it:
#subSys(sbml) <- subSys
sybil::subSys(mod) <- sybil:::.prepareSubSysMatrix(subSys, numreact)
}
else {
# No subsystems:
sybil::subSys(mod) <- Matrix::Matrix(FALSE,
nrow = numreact,
ncol = 1,
sparse = TRUE)
}
}
}
#------------------------------------------------------------------------------#
# reaction id's #
#------------------------------------------------------------------------------#
message("cleaning up ... ", appendLF = FALSE)
react_id_tmp <- sub( "^R[_]+", "", react_id_tmp[SKIP_REACTION]) # remove the leading R_
#react_id_tmp <- gsub("_LPAREN_", "(", react_id_tmp, fixed = TRUE)
#react_id_tmp <- gsub("_RPAREN_", ")", react_id_tmp, fixed = TRUE)
#react_id_tmp <- gsub("_LSQBKT_", "[", react_id_tmp, fixed = TRUE)
#react_id_tmp <- gsub("_RSQBKT_", "]", react_id_tmp, fixed = TRUE)
#react_id_tmp <- gsub("_COMMA_", ",", react_id_tmp, fixed = TRUE)
#react_id_tmp <- gsub("_APOS_", "'", react_id_tmp, fixed = TRUE)
#react_id_tmp <- gsub("_DASH_", "-", react_id_tmp, fixed = TRUE)
#react_id_tmp <- sub( "_e_?$", "(e)", react_id_tmp) # nicer formatting of exchange reactions
#sybil::react_id(mod) <- gsub("-", "_", react_id_tmp, fixed = TRUE)
sybil::react_id(mod) <- formatSBMLid(react_id_tmp)
#------------------------------------------------------------------------------#
# reaction names #
#------------------------------------------------------------------------------#
react_name_tmp <- reactionsList[["name"]][SKIP_REACTION]
react_name_tmp <- sub( "^R[_]+", "", react_name_tmp)
react_name_tmp <- gsub("[_]+", " ", react_name_tmp)
react_name_tmp <- sub( "\\s+$", "", react_name_tmp, perl = TRUE)
sybil::react_name(mod) <- react_name_tmp
#------------------------------------------------------------------------------#
# Reaction Attr @Ardalan #
#------------------------------------------------------------------------------#
# Test for new Slots
if( .hasSlot(mod,"mod_attr") && .hasSlot(mod,"comp_attr") && .hasSlot(mod,"met_attr") && .hasSlot(mod,"react_attr") )
newSybil<-TRUE
else newSybil<-FALSE
numreact<-nummet <- sum(SKIP_REACTION)
reactannotation <- reactionsList[["annotation"]][SKIP_REACTION]
reactnotes <- reactionsList[["notes"]][SKIP_REACTION]
if(newSybil)
{
sybil::react_attr(mod) <-data.frame(row.names=1:numreact)
#Speed optimierung durch notes NULL falls nichts drin steht
if( !is.null(reactannotation) && length(reactannotation)==numreact )sybil::react_attr(mod)[['annotation']]<-reactannotation
if( !is.null(reactnotes) && length(reactnotes)==numreact )sybil::react_attr(mod)[['notes']]<-reactnotes
}
#------------------------------------------------------------------------------#
# subSys from groups #
#------------------------------------------------------------------------------#
if(!is.null(subSysGroups)){
# sub system groups for each reaction from subSysGroups:
subSysMat <- Matrix::Matrix(FALSE, nrow = numreact, ncol = length(subSysGroups), sparse = TRUE)
colnames(subSysMat) <- names(subSysGroups)
subSysMat <- Matrix::Matrix( do.call("cbind",
lapply(subSysGroups, function(x){
ids <- formatSBMLid(sub( "^R[_]+", "", x))
sybil::react_id(mod) %in% ids
})),
sparse = TRUE
)
sybil::subSys(mod) <- subSysMat
}
#------------------------------------------------------------------------------#
# Model Attr @Ardalan #
#------------------------------------------------------------------------------#
modanno<-getSBMLmodAnnotation(sbmlmod)
modnotes<-getSBMLmodNotes(sbmlmod)
if(newSybil)
{
# set model annotation and notes:
sybil::mod_attr(mod) <-data.frame(row.names=1)
if(nchar(modanno)>1)sybil::mod_attr(mod)[['annotation']]<-modanno
if(nchar(modnotes)>1)sybil::mod_attr(mod)[['notes']]<-modnotes
}
#------------------------------------------------------------------------------#
# compartments Attr @Ardalan #
#------------------------------------------------------------------------------#
# set comp_attr slot for model with 'annotation' and 'notes' from values in compartmentsList:
# Define SKIP_COMPARTMENT FALSE= HAS NO REFERENCE
met_comp_tmp <- metabolitesList[["compartment"]][met_id_pos][SKIP_METABOLITE]
SKIP_COMPARTMENT<- comp_tmp_id %in% unique(met_comp_tmp)
sybil::mod_compart(mod) <- comp_tmp_id[SKIP_COMPARTMENT]
numcom<-length(mod_compart(mod))
comannotation <- compartmentsList[["annotation"]][SKIP_COMPARTMENT]
comnotes <- compartmentsList[["notes"]][SKIP_COMPARTMENT]
if(newSybil)
{
sybil::comp_attr(mod) <-data.frame(row.names=1:numcom)
if( !is.null(comannotation) && length(comannotation)==numcom )sybil::comp_attr(mod)[['annotation']]<-comannotation
if( !is.null(comnotes) && length(comnotes)==numcom )sybil::comp_attr(mod)[['notes']]<-comnotes
}
#------------------------------------------------------------------------------#
# metabolite id's #
#------------------------------------------------------------------------------#
met_id_tmp <- sub( "^[MSms]_+", "", met_id_tmp[SKIP_METABOLITE]) # remove the leading M_ or S_
#met_id_tmp <- gsub( "[_]+", "_", met_id_tmp)
met_id_tmp <- sub( "_([A-Za-z0-9]+)$", "[\\1]", met_id_tmp) # put the compartment id into square brackets
sybil::met_id(mod) <- gsub("-", "_", met_id_tmp, fixed = TRUE)
#sybil::met_id(mod) <- gsub("[-_]+", "_", met_id_tmp)
#------------------------------------------------------------------------------#
# metabolite compartments #
#------------------------------------------------------------------------------#
#met_comp_tmp <- metabolitesList[["compartment"]][met_id_pos][SKIP_METABOLITE]
sybil::met_comp(mod) <- match(met_comp_tmp, sybil::mod_compart(mod))
#------------------------------------------------------------------------------#
# metabolite names #
#------------------------------------------------------------------------------#
met_name_tmp <- metabolitesList[["name"]][met_id_pos][SKIP_METABOLITE]
met_name_tmp <- sub( "^[MS]?[_]+", "", met_name_tmp)
met_name_tmp <- gsub("[-_]+", "-", met_name_tmp)
met_name_tmp <- sub("-$", "", met_name_tmp)
met_name_tmp <- sub( "\\s+$", "", met_name_tmp, perl = TRUE)
sybil::met_name(mod) <- met_name_tmp
#------------------------------------------------------------------------------#
# metabolite attr @Ardalan Habil #
#------------------------------------------------------------------------------#
#ChemicalFormula Charge Notes Annotation MetaID @Ardalan Habil
metformula <- metabolitesList[["chemicalFormula"]][met_id_pos][SKIP_METABOLITE]
metcharge <- metabolitesList[["charge"]][met_id_pos][SKIP_METABOLITE]
metnotes <- metabolitesList[["notes"]][met_id_pos][SKIP_METABOLITE]
metannotation <- metabolitesList[["annotation"]][met_id_pos][SKIP_METABOLITE]
metchargenote<-NULL
metformulanote<-NULL
# check metnotes for Formula and Charge
if( !is.null(metnotes) && length(metnotes==nummet))
{
pn <- regexpr("FORMULA: [^<]+", metnotes, perl = TRUE)
metformulanote <- substr(metnotes, (pn+9), pn + ((attr(pn, "match.length"))-1))
pn <- regexpr("CHARGE: [^<]+", metnotes, perl = TRUE)
metchargenote <- substr(metnotes, (pn+8), pn + ((attr(pn, "match.length"))-1))
metchargenote <- as.integer(metchargenote)
metchargenote[is.na(metchargenote)] <- 0
}
nummet <- sum(SKIP_METABOLITE)
if(newSybil)
{
# save attributes to met_attr slot
sybil::met_attr(mod) <-data.frame(row.names=1:nummet)
if( !is.null(metformula) && length(metformula)==nummet)
{
sybil::met_attr(mod)[['chemicalFormula']]<-metformula
}
else{
if(length(metformulanote)==nummet)
{
if(max(nchar(metformulanote)) >0)
sybil::met_attr(mod)[['chemicalFormula']]<-metformulanote
}
}
if( !is.null(metcharge) && length(metcharge)==nummet && sum(metcharge)!=0)
{
sybil::met_attr(mod)[['charge']]<-metcharge
}
else{
if( length(metchargenote)==nummet)
{
if(max(nchar(metchargenote)) >0)
sybil::met_attr(mod)[['charge']]<-metchargenote
}
}
if( !is.null(metnotes) && length(metnotes)==nummet)
sybil::met_attr(mod)[['notes']]<-metnotes
if( !is.null(metannotation) && length(metannotation)==nummet)
sybil::met_attr(mod)[['annotation']]<-metannotation
# Save boundaryCondition when bndCond=FALSE
if (!isTRUE(bndCond)) {
metBnd <- metabolitesList[["boundaryCondition"]][met_id_pos][SKIP_METABOLITE]
# When all metBnd = False -> metabolite removed by extMetFlag
if( !is.null(metBnd) && length(metBnd)==nummet && !all(metBnd == FALSE) )
sybil::met_attr(mod)[['boundaryCondition']]<-metBnd
}
}
#------------------------------------------------------------------------------#
# check reversibilities #
#------------------------------------------------------------------------------#
# check up with the matlab version
# check the reversibilities
react_rev_tmp <- react_rev_tmp[SKIP_REACTION]
isrev <- which(sybil::lowbnd(mod) < 0 & sybil::uppbnd(mod) > 0)
#print(isrev)
react_rev_tmp[isrev] <- TRUE
sybil::react_rev(mod) <- react_rev_tmp
message("OK")
#------------------------------------------------------------------------------#
# validate the model #
#------------------------------------------------------------------------------#
message("validating object ... ", appendLF = FALSE)
check <- validObject(mod, test = TRUE)
if (check != TRUE) {
msg <- paste("Validity check failed:", check, sep = "\n ")
warning(msg)
}
message("OK")
#------------------------------------------------------------------------------#
# return the model #
#------------------------------------------------------------------------------#
delSBMLmodel(sbmlmod)
closeSBMLfile(sbmldoc)
# Returns sbml, an object of the class modelorg
return(mod)
}
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Defines functions readSBMLmod
Documented in readSBMLmod
#------------------------------------------------------------------------------#
# Link to libSBML for sybil #
#------------------------------------------------------------------------------#
# readSBMLmod.R
# Link to libSBML for sybil.
#
# Copyright (C) 2010-2013 Gabriel Gelius-Dietrich, Dpt. for Bioinformatics,
# Institute for Informatics, Heinrich-Heine-University, Duesseldorf, Germany.
# All right reserved.
# Email: geliudie@uni-duesseldorf.de
#
# This file is part of sybilSBML.
#
# SybilSBML is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# SybilSBML is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with sybilSBML. If not, see <http://www.gnu.org/licenses/>.
################################################
# Function: readSBMLmod
#
#
# The function readSBMLmod() is inspired by the function
# readCbModel() contained in the COBRA Toolbox.
# The algorithm is basically the same.
readSBMLmod <- function(filename, description,
def_bnd = SYBIL_SETTINGS("MAXIMUM"),
validateSBML = FALSE,
extMetFlag = "b",
bndCond = TRUE,
ignoreNoAn = FALSE,
mergeMet = TRUE,
balanceReact = TRUE,
remUnusedMetReact = TRUE,
singletonMet = FALSE,
deadEndMet = FALSE,
remMet = FALSE,
constrMet = FALSE,
tol = SYBIL_SETTINGS("TOLERANCE")) {
on.exit(expr = {
if ( (exists("sbmldoc")) && (!isNULLpointerSBML(sbmldoc)) ) {
closeSBMLfile(sbmldoc)
}
} )
#------------------------------------------------------------------------------#
# Does the model file exist?
if ( file.exists(filename) == FALSE ) {
stop("failed to open file ", sQuote(filename))
}
# set description to filename, if not set
if (missing(description)) {
mdesc <- filename
}
else {
mdesc <- description
}
#------------------------------------------------------------------------------#
# some functions we use to create the model #
#------------------------------------------------------------------------------#
#------------------------------------------------------------------------------#
# X containes metabolite id's (an object of class "SpeciesReference"). The slot
# "species" contains metabolite id. The function entryforS() gets the array
# index of X from the vector "sybil::met_id(sbml)", which is the line number in
# the stoichiometric matrix S.
#------------------------------------------------------------------------------#
entryforS <- function(X) {
n <- length(X[["species"]]) # number of metabolites in X
si <- rep(i, n) # the current column (reaction)
sj <- integer(n) # the row (metabolite)
s_ji <- numeric(n) # the stoichiometric coefficient
remMet <- logical(n) # metabolite removed from the initial metabolite list?
CURR_MET <- character(n) # metabolites in X
t <- 0
# over all metabolite IDs:
for (i in seq(along = X[["species"]])) {
t <- t + 1
# This is possible, because the metabolite id's are unique.
# Keep in mind!
# The metabolite id's are removed from the metabolites list,
# but not from the reactions list.
CURR_MET[t] <- X[["species"]][i] # get current metabolite ID
if (isTRUE(mergeMet)) {
# find out, if the current metabolite is already in the list and remember matching position in CURR_MET vector:
met_indCURR <- match(CURR_MET[t], CURR_MET[-t])
}
else {
met_indCURR <- NA
}
if (is.na(met_indCURR)) {# if we don't have to merge metabolite --> check this!####
sj[t] <- match(X[["species"]][i], met_id_tmp) # the row number
s_ji[t] <- X[["stoichiometry"]][i]
remMet[t] <- ifelse(is.na(sj[t]), FALSE, TRUE) #
}
else {# we have to merge metabolite --> check this!####
remMet[t] <- FALSE
s_ji[met_indCURR] <- s_ji[met_indCURR] + X[["stoichiometry"]][i]
msg <- paste("reaction no.", i, dQuote(react_id_tmp[i]),
"metabolite no.", t, dQuote(CURR_MET[t]),
"was merged")
warning(msg, call. = FALSE)
}
# if (is.na(sj[t])) { # if the current reaction is an
# return(FALSE) # exchange reaction, sj[t] will
# } # be NA. So we'll leave s_ij[t]
# else { # at zero.
# s_ji[t] <- el@stoichiometry # the stoichiometric coefficient
# }
}
#metUnq <- unique(sj[remMet])
return(list(sj = sj[remMet], si = si[remMet], s_ji = s_ji[remMet]))
}
#------------------------------------------------------------------------------#
# Check the absolute value of a reaction bound (vmin, vmax). If it is larger
# than def_bnd, it will be replaced by def_bnd.
#------------------------------------------------------------------------------#
checkupplowbnd <- function(x) {
if (abs(x) > def_bnd) {
bound <- def_bnd
if (x < 0) {
bound <- bound * -1
}
}
else {
bound <- x
}
return(bound)
}
#------------------------------------------------------------------------------#
# A control function. For every part in the SBML file, the Id's are a mandatory
# argument. Here we check, if they are all brave and there.
#------------------------------------------------------------------------------#
missingId <- function(x) {
mid <- which(x[["id"]] == "no_id")
if (length(mid) > 0) {
warning("id is missing in ", is(x)[1], ": ", paste(mid, collapse = ", "))
}
return(TRUE)
}
#------------------------------------------------------------------------------#
# beautify SBML id's
#------------------------------------------------------------------------------#
formatSBMLid <- function(idstr) {
idstr <- gsub("-DASH-", "-", idstr, fixed = TRUE)
idstr <- gsub("_DASH_", "-", idstr, fixed = TRUE)
#idstr <- gsub("_FSLASH_", "/", idstr, fixed = TRUE)
#idstr <- gsub("_BSLASH_", "\\", idstr, fixed = TRUE)
idstr <- gsub("_LPAREN_", "(", idstr, fixed = TRUE)
idstr <- gsub("_RPAREN_", ")", idstr, fixed = TRUE)
idstr <- gsub("_LSQBKT_", "[", idstr, fixed = TRUE)
idstr <- gsub("_RSQBKT_", "]", idstr, fixed = TRUE)
idstr <- gsub("_COMMA_", ",", idstr, fixed = TRUE)
idstr <- gsub("_PERIOD_", ".", idstr, fixed = TRUE)
idstr <- gsub("_APOS_", "'", idstr, fixed = TRUE)
idstr <- sub( "_e_?$", "(e)", idstr) # nicer formatting of exchange reactions
idstr <- gsub("-", "_", idstr, fixed = TRUE)
#idstr <- gsub("&", "&", idstr, fixed = TRUE)
#idstr <- gsub("<", "<", idstr, fixed = TRUE)
#idstr <- gsub(">", ">", idstr, fixed = TRUE)
#idstr <- gsub(""", "\"", idstr, fixed = TRUE)
return(idstr)
}
#------------------------------------------------------------------------------#
# parse the notes field of the reactions
# (notes is a character string)
# extract gpr rules and subsystem from notes
#------------------------------------------------------------------------------#
parseNotesReact <- function(notes) {
if (regexpr("html:p", notes, fixed = TRUE) == -1) {
tag <- "p"
}
else {
tag <- "html:p"
}
split <- paste("<", tag, ">", sep = "")
#split <- "\n"
fields <- strsplit(notes, split, fixed = TRUE)
# print(fields)
# fields now contains a list in which each item is a vector with the strings separated by the <p> or <html:p> respectively
# we only have one element in the list here.
# extract the actual notes between the opening and closing tags:
start_tag <- paste("<", tag, ">", sep = "")
end_tag <- paste("</", tag, ">", sep = "")
regex <- paste("^(?:[\\t]*\\Q", start_tag, "\\E)?", "(.*)", "\\Q", end_tag, "\\E", "(?s).*$", sep = "")
#regex <- paste("(.*)", end_tag, "(?s).*$", sep = "")
#print(regex)
fields_str <- sub(regex, "\\1", fields[[1]], perl = TRUE)
#print(fields_str)
# fields_str should now contain a vector of the actual notes without surrounding tags
# extract gpr rule (genes and rules) and subsystem from notes:
subSyst <- ""# no sub system
gpr <- ""# no gene to protein to reaction interaction
gene_rule <- NA
for (j in 1:length(fields_str)) {
# Do we have a "GENE_ASSOCIATION" or "GENE ASSOCIATION" or GENEASSOCIATION?
if (grepl("GENE[_ ]?ASSOCIATION", fields_str[j])) {
#if (charmatch("GENE", fields_str[j], nomatch = -1) != -1) {
gpr <- sub("GENE[_ ]?ASSOCIATION: *", "", fields_str[j])# delete the text, remaining gpr
# get the unique gene names and the rule with the x[gene number] codes:
gene_rule <- sybil:::.parseBoolean(gpr)# parse gene rule
#print(gene_rule)
}#Ardalan Habil
# Or do we have a "GPR_ASSOCIATION" or "GPR ASSOCIATION" or GPRASSOCIATION?
else if (grepl("GPR[_ ]?ASSOCIATION", fields_str[j])) {
gpr <- sub("GPR[_ ]?ASSOCIATION: *", "", fields_str[j])
# get the unique gene names and the rule with the x[gene number] codes:
gene_rule <- sybil:::.parseBoolean(gpr)
}
# Do we have a "SUBSYSTEM"?
if (charmatch("SUBSYSTEM", fields_str[j], nomatch = -1) != -1) {
# remove SUBSYSTEM with trailing trailing spaces, then remove the S_ at the beginning, then exchange all _ by spaces:
subSyst <- sub("SUBSYSTEM: *", "", fields_str[j])
subSyst <- sub("^S_", "", subSyst, perl = TRUE)
subSyst <- gsub("[_]+", " ", subSyst)
#if (nchar(subSyst) == 0) {
# subSyst <- "Exchange"
#}
#print(subSyst)
}
}
if (!is.list(gene_rule)) {
gene_rule <- sybil:::.parseBoolean("")
}
# return sub system, genes, and rules:
return(list(sub_system = subSyst, genes = gene_rule$gene, rules = gene_rule$rule, gpr = gpr))
}
#------------------------------------------------------------------------------#
# main part of the script #
#------------------------------------------------------------------------------#
#------------------------------------------------------------------------------#
# reading the model #
#------------------------------------------------------------------------------#
message("reading SBML file ... ", appendLF = FALSE)
sbmldoc <- openSBMLfile(filename)
message("OK")
# warning, if FBC plugin is missing:
if (isAvailableFbcPlugin() == FALSE) {
warning("Missing FBC-plugin for libSBML. FBC constraints will be ignored.")
}
# warning, if Groups plugin is missing:
if (isAvailableGroupsPlugin() == FALSE) {
warning("Missing Groups-plugin for libSBML. Groups will be ignored.")
}
# warning if new Version/Level/
SBMLlevel<- getSBMLlevel(sbmldoc)
SBMLversion<- getSBMLversion(sbmldoc)
FBCversion<-getSBMLFbcversion(sbmldoc)
if(SBMLlevel == 3 && SBMLversion > 1)
warning(paste("No support for Level 3 Version ",SBMLversion))
if (FBCversion > 2)
warning(paste("No support for Fbc Version ",FBCversion))
#------------------------------------------------------------------------------#
# check the model #
#------------------------------------------------------------------------------#
if (isTRUE(validateSBML)) {
message("validating SBML file ... ", appendLF = FALSE)
check <- validateSBMLdocument(sbmldoc) # check for errors
if (!isTRUE(check)) {
err <- getSBMLerrors(sbmldoc)
nerr <- getNumErrors(err)
if (nerr["Errors"] > 0) {
message("found errors, trying to fix ... ", appendLF = FALSE)
closeSBMLfile(sbmldoc)
hackedModel <- .uglyHack(filename)
sbmldoc <- openSBMLfile(hackedModel)
unlink(hackedModel)
remove(hackedModel)
check <- validateSBMLdocument(sbmldoc)
if (!isTRUE(check)) {
sbmlerr <- getSBMLerrors(sbmldoc)
nerr <- getNumErrors(sbmlerr)
if ((nerr["Errors"] > 0) ||
(nerr["Fatals"] > 0)) {
msg <- paste("FAILED: review file", dQuote(filename),
"carefully, returning sbmlError object")
warning(msg)
return(sbmlerr)
}
else {
msg <- paste("found warnings and/or infos concerning SBML,",
"you may want to check them with the command",
sQuote(paste("validateSBMLdocument('", filename, "')", sep = "")), "... ")
message(msg, appendLF = FALSE)
#printSlot(sbmlerr, "Warnings")
}
}
}
else if (nerr["Fatals"] > 0) {
msg <- paste("FAILED review file", dQuote(filename),
"carefully, returning sbmlError object")
warning(msg)
return(sbmlerr)
}
else {
msg <- paste("found warnings and/or infos concerning SBML,",
"you may want to check them with the command",
sQuote(paste("validateSBMLdocument('", filename, "')", sep = "")), "... ")
message(msg, appendLF = FALSE)
}
}
message("OK")
}
#------------------------------------------------------------------------------#
# generate modelorg object #
#------------------------------------------------------------------------------#
message("getting the model ... ", appendLF = FALSE)
sbmlmod <- getSBMLmodel(sbmldoc)
if (is.null(sbmlmod)) {
message("FAILED")
stop("Could not get the SBML model. Run SBML validation by ",
"validateSBMLdocument('", filename, "').")
}
mid <- ifelse(length(getSBMLmodId(sbmlmod)) == 0, filename, getSBMLmodId(sbmlmod))
mname <- ifelse(length(getSBMLmodName(sbmlmod)) == 0, filename, getSBMLmodName(sbmlmod))
mod <- sybil::modelorg(mid, mname) # S4 object of class modelorg
message("OK")
#------------------------------------------------------------------------------#
# model description #
#------------------------------------------------------------------------------#
if (mdesc == filename) {
mdesc <- sub("\\.xml$", "", basename(filename))
}
sybil::mod_desc(mod) <- mdesc
#------------------------------------------------------------------------------#
# units #
#------------------------------------------------------------------------------#
# I have to do this, but later (2007-08-14)
#------------------------------------------------------------------------------#
# compartments #
#------------------------------------------------------------------------------#
compartmentsList <- getSBMLCompartList(sbmlmod)
if (is.null(compartmentsList)) {
stop("file '", filename, "' has an empty listOfCompartments section")
}
missingId(compartmentsList)
comp_tmp_id <- compartmentsList[["id"]]
#------------------------------------------------------------------------------#
# initial reactions list #
#------------------------------------------------------------------------------#
reactionsList <- getSBMLReactionsList(sbmlmod)
if (is.null(reactionsList)) {
stop("file '", filename, "' has an empty listOfReactions section")
}
missingId(reactionsList)
react_id_tmp <- reactionsList[["id"]]
numreact <- getSBMLnumReactions(sbmlmod)
#------------------------------------------------------------------------------#
# initial metabolites list #
#------------------------------------------------------------------------------#
metabolitesList <- getSBMLSpeciesList(sbmlmod)
if (is.null(metabolitesList)) {
stop("file '", filename, "' has an empty listOfSpecies section")
}
missingId(metabolitesList)
metSpIds <- metabolitesList[["id"]]# Metabolites IDs
#nummet <- getSBMLnumSpecies(sbmlmod)
if (isTRUE(bndCond)) {
metSpBnd <- metabolitesList[["boundaryCondition"]]# TRUE for external, FALSE for internal metabolites
met_id_pos <- !metSpBnd# TRUE for internal metabolites
}
else {
# regular expression to identify external metabolites
extMetRegEx <- paste("_", extMetFlag, "$", sep = "")
met_id_pos <- grep(extMetRegEx, metSpIds, invert = TRUE)# positions of internal metabolites
}
met_id_tmp <- metSpIds[met_id_pos]# IDs of internal metabolites
# number of metabolites
nummet <- length(met_id_tmp)# No. internal metabolites
#------------------------------------------------------------------------------#
# reversibilities #
#------------------------------------------------------------------------------#
react_rev_tmp <- reactionsList[["reversible"]]
#------------------------------------------------------------------------------#
# data structures #
#------------------------------------------------------------------------------#
#S <- matrix(0, nummet, numreact)
St <- Matrix::Matrix(0, nrow = nummet, ncol = numreact, sparse = TRUE)
lbnd <- numeric(numreact) # v min
ubnd <- numeric(numreact) # v max
ocof <- numeric(numreact) # objective coefficients
#------------------------------------------------------------------------------#
# S matrix and constraints, gpr #
#------------------------------------------------------------------------------#
message("creating S and parsing constraints ... ", appendLF = FALSE)
# for the gpr stuff
subSys <- character(numreact)
genes <- list(numreact)
rules <- character(numreact)
gpr <- character(numreact)
#allGenes <- character(0)
# Only one entry, because if one reaction has a notes
# field, all others are supposed to have one. Otherwise
# the gpr stuff does not make sense.
hasNotes <- FALSE
hasAnnot <- FALSE
#FBC contraints @Ardalan Habil
fbclowbnd<-reactionsList[["fbc_lowbnd"]]
fbcuppbnd<-reactionsList[["fbc_uppbnd"]]
fbcgprRules<-reactionsList[["fbc_gprRules"]]
fbcObjectives<-reactionsList[["fbc_Objectives"]]
for (i in 1 : numreact) {
# the notes/annotations field
notes <- reactionsList[["notes"]][i]
annot <- reactionsList[["annotation"]][i]
# Notes und Annotation can be null ( @Ardalan Habil)
if(!is.null( reactionsList[["notes"]]))
if (nchar(notes) > 0) {
hasNotes <- TRUE
notes_field <- parseNotesReact(notes)
#print(notes_field)
subSys[i] <- notes_field$sub_system # the reaction's sub system: glykolysis, TCA, ...
genes[[i]] <- notes_field$genes # list of genes
rules[i] <- notes_field$rules # rules
gpr[i] <- notes_field$gpr # original gpr association
#allGenes <- c(allGenes, genes[[i]])
}
else {
if(!is.null( reactionsList[["annotation"]]))
if (nchar(annot) > 0) {
hasAnnot <- TRUE
pn <- regexpr("Pathway Name: [^<]+", annot, perl = TRUE)
subSys[i] <- substr(annot, (pn+14), pn + ((attr(pn, "match.length"))-1))
}
}
# get flux balance constraints, if fbcgprRules not null
fbcgene_rule <- NA
if ( !is.null(fbcgprRules))
{
# get the unique gene names and the rule with the x[gene number] codes:
fbcgene_rule<- sybil:::.parseBoolean(fbcgprRules[i])
genes[[i]] <- fbcgene_rule$gene # list of genes
rules[i] <- fbcgene_rule$rule # rules
gpr[i] <- fbcgprRules[i]
}
# Check here if reactants and products lists exist, same for the stoichiometry slot
# Entries for S -- the reactants
S_tmp <- entryforS(reactionsList[["reactants"]][[i]])# todo: have to give i and met_id_tmp as argument, right now they are global (confusing)
#print(S_tmp)
if (is.list(S_tmp) == TRUE) {
# set stoichiometric matrix, values are set negative (reactants)
St[S_tmp$sj, i] <- (S_tmp$s_ji * -1)
#St[S_tmp$sj, S_tmp$si] <- (S_tmp$s_ji * -1)
}
# Check here if S_tmp is FALSE. Should only be the case in
# the products slot due to the exclusion of external metabolites.
# In that case, the current reaction must be an exchange reaction.
# else {
# print(rsbml::reactions(rsbml::model(Mod))[[i]]@id)
# print(S_tmp)
# stop("something is wrong here")
# }
# Entries for S -- the products
S_tmp <- entryforS(reactionsList[["products"]][[i]])
if (length(S_tmp[["s_ji"]]) > 0) {
#print(S_tmp)
if (isTRUE(balanceReact)) {
nnull <- St[S_tmp$sj, i] == 0
St[S_tmp$sj, i] <- St[S_tmp$sj, i] + S_tmp$s_ji
if ( any(nnull == FALSE) ) {
msg <- paste("reaction no.", i,
dQuote(react_id_tmp[i]), sum(!nnull),
ngettext(sum(!nnull),
"metabolite was balanced",
"metabolites were balanced:\n\t"),
paste(dQuote(met_id_tmp[S_tmp$sj[!nnull]]),
collapse = "\n\t "))
warning(msg, call. = FALSE)
}
}
else {
St[S_tmp$sj, i] <- S_tmp$s_ji
}
}
# else {
# print(rsbml::reactions(rsbml::model(Mod))[[i]]@id)
# print(S_tmp)
# stop("something is wrong here")
# }
# the constraints
#FBC contraints @Ardalan Habil
if ( !is.null(fbclowbnd) && !is.null(fbcuppbnd))
{
lbnd[i] <- checkupplowbnd(fbclowbnd[i])
ubnd[i] <- checkupplowbnd(fbcuppbnd[i])
}
#read from kinetic_law if fbc is empty
else
{
parm <- reactionsList[["kinetic_law"]][[i]]
if (is.null(parm)) {
ubnd[i] <- def_bnd
if (isTRUE(react_rev_tmp[i])) {
lbnd[i] <- -1 * def_bnd
}
else {
lbnd[i] <- 0
}
ocof[i] <- 0
}
else {
for (j in seq(along = parm[["id"]])) {
if (parm[["id"]][j] == "LOWER_BOUND") {
lbnd[i] <- checkupplowbnd(parm[["value"]][j])
}
if (parm[["id"]][j] == "UPPER_BOUND") {
ubnd[i] <- checkupplowbnd(parm[["value"]][j])
}
if (parm[["id"]][j] == "OBJECTIVE_COEFFICIENT") {
ocof[i] <- parm[["value"]][j]
}
# flux value? (sbml file)
# reduced cost? (sbml file)
}
}
}
#FBC Objective @Ardalan Habil
if(!is.null(fbcObjectives))
{
ocof[i]<-as.numeric(fbcObjectives[i])
}
}
# get subsystem properties from the sbml groups plugin
subSysGroups <- getSBMLGroupsList(sbmlmod)
# ---------------------------------------------------------------------------- #
# search for unused metabolites and unused reactions
# binary version of stoichiometric matrix
#Stb <- St != 0
Stb <- abs(St) > tol
SKIP_METABOLITE <- rowSums(Stb) != 0
SKIP_REACTION <- colSums(Stb) != 0
if (isTRUE(remUnusedMetReact)) {
did <- "and therefore removed from S:"
}
else {
did <- "in S:"
}
# ---------------------------------------------------------------------------- #
# empty rows
if ( any(SKIP_METABOLITE == FALSE) ) {
met_list <- paste(dQuote(met_id_tmp[!SKIP_METABOLITE]),
collapse = "\n\t")
nmet_list <- sum(!SKIP_METABOLITE)
msg_part <- paste("not used in any reaction", did)
msg <- sprintf(ngettext(nmet_list,
"%d metabolite is %s %s",
"%d metabolites are %s\n\t%s"),
nmet_list, msg_part, met_list)
warning(msg, call. = FALSE)
}
# ---------------------------------------------------------------------------- #
# empty columns
if ( any(SKIP_REACTION == FALSE) ) {
react_list <- paste(dQuote(react_id_tmp[!SKIP_REACTION]),
collapse = "\n\t")
nreact_list <- sum(!SKIP_REACTION)
msg_part <- paste("not used", did)
msg <- sprintf(ngettext(nreact_list,
"%d reaction is %s %s",
"%d reactions are %s\n\t%s"),
nreact_list, msg_part, react_list)
warning(msg, call. = FALSE)
}
# if we do not want to remove, mark them as to skip
if (!isTRUE(remUnusedMetReact)) {
SKIP_METABOLITE[!SKIP_METABOLITE] <- TRUE
SKIP_REACTION[!SKIP_REACTION] <- TRUE
}
# ---------------------------------------------------------------------------- #
# single metabolites
sing_met <- rep(NA, nrow(St))
sing_react <- rep(NA, ncol(St))
if (isTRUE(singletonMet)) {
message("identifying reactions containing single metabolites ... ", appendLF = FALSE)
singleton <- sybil:::.singletonMetabolite(mat = Stb)
sing_met[!singleton$smet] <- FALSE
sing_react[!singleton$sreact] <- FALSE
sing_met[singleton$smet] <- TRUE
sing_react[singleton$sreact] <- TRUE
# singleton metabolites found?
if (sum(singleton$smet) > 0) {
if ( xor(isTRUE(constrMet), isTRUE(remMet)) ) {
if (isTRUE(constrMet)) {
# set to zero
did_watm <- "identified"
did_watr <- "constrained"
}
else {
# remove
SKIP_METABOLITE[singleton$smet] <- FALSE
SKIP_REACTION[singleton$sreact] <- FALSE
did_watm <- "removed"
did_watr <- "removed"
}
met_list <- paste(dQuote(met_id_tmp[singleton$smet]),
collapse = "\n\t")
nmet_list <- sum(singleton$smet)
react_list <- paste(dQuote(react_id_tmp[singleton$sreact]),
collapse = "\n\t")
nreact_list <- sum(singleton$sreact)
msgm <- sprintf(ngettext(nmet_list,
"%s %d singleton metabolite: %s",
"%s %d singleton metabolites:\n\t%s"),
did_watm, nmet_list, met_list)
msgr <- sprintf(ngettext(nreact_list,
"%s %d reaction containing singleton metabolites: %s",
"%s %d reactions containing singleton metabolites:\n\t%s"),
did_watr, nreact_list, react_list)
#warning(paste(msgm, msgr, sep = "\n\t "))
warning(msgm, call. = FALSE)
warning(msgr, call. = FALSE)
}
else {
met_list <- paste(dQuote(met_id_tmp[singleton$smet]),
collapse = "\n\t")
nmet_list <- sum(singleton$smet)
msg <- sprintf(ngettext(nmet_list,
"%d metabolite is singleton in S: %s",
"%d metabolites are singletons in S:\n\t%s"),
nmet_list, met_list)
warning(msg, call. = FALSE)
}
}
else {
message("nothing found ... ", appendLF = FALSE)
sing_met <- logical(nrow(St))
sing_react <- logical(ncol(St))
}
}
# ---------------------------------------------------------------------------- #
# dead end metabolites
de_met <- rep(NA, nrow(St))
de_react <- rep(NA, ncol(St))
if (isTRUE(deadEndMet)) {
message("identifying reactions containing dead end metabolites ... ", appendLF = FALSE)
demr <- sybil:::.deadEndMetabolite(mat = St,
lb = lbnd,
exclM = sing_met,
exclR = sing_react,
tol = tol)
de_met[!demr$dem] <- FALSE
de_react[!demr$der] <- FALSE
de_met[demr$dem] <- TRUE
de_react[demr$der] <- TRUE
# dead end metabolites found?
if (sum(demr$dem) > 0) {
if ( xor(isTRUE(constrMet), isTRUE(remMet)) ) {
if (isTRUE(constrMet)) {
# set to zero
did_watm <- "identified"
did_watr <- "constrained"
}
else {
# remove
SKIP_METABOLITE[demr$dem] <- FALSE
SKIP_REACTION[demr$der] <- FALSE
did_watm <- "removed"
did_watr <- "removed"
}
met_list <- paste(dQuote(met_id_tmp[demr$dem]),
collapse = "\n\t")
nmet_list <- sum(demr$dem)
react_list <- paste(dQuote(react_id_tmp[demr$der]),
collapse = "\n\t")
nreact_list <- sum(demr$der)
msgm <- sprintf(ngettext(nmet_list,
"%s %d dead end metabolite: %s",
"%s %d dead end metabolites:\n\t%s"),
did_watm, nmet_list, met_list)
msgr <- sprintf(ngettext(nreact_list,
"%s %d reaction containing dead end metabolites: %s",
"%s %d reactions containing dead end metabolites:\n\t%s"),
did_watr, nreact_list, react_list)
warning(msgm, call. = FALSE)
warning(msgr, call. = FALSE)
}
else {
met_list <- paste(dQuote(met_id_tmp[demr$dem]),
collapse = "\n\t")
nmet_list <- sum(demr$dem)
msg <- sprintf(ngettext(nmet_list,
"%d dead end metabolite in S: %s",
"%d dead end metabolites in S:\n\t%s"),
nmet_list, met_list)
warning(msg, call. = FALSE)
}
}
else {
message("nothing found ... ", appendLF = FALSE)
de_met <- logical(nrow(St))
de_react <- logical(ncol(St))
}
}
# ---------------------------------------------------------------------------- #
# S
# only keep metabolites and reactions where SKIP mark is TRUE, remove the rest
St <- St[SKIP_METABOLITE, , drop = FALSE]
St <- St[ , SKIP_REACTION, drop = FALSE]
sybil::S(mod) <- St
#remove(St)
#sbml@S <- S
#remove(S)
# NNZ <- nonZeroElements(S(sbml))
#
# Sne(sbml) <- NNZ$ne
# Sia(sbml) <- NNZ$ia
# Sja(sbml) <- NNZ$ja
# Sar(sbml) <- NNZ$ar
numreact <- sum(SKIP_REACTION)
sybil::met_num(mod) <- sum(SKIP_METABOLITE)
sybil::react_num(mod) <- numreact
sybil::met_single(mod) <- sing_met[SKIP_METABOLITE]
sybil::react_single(mod) <- sing_react[SKIP_REACTION]
sybil::met_de(mod) <- de_met[SKIP_METABOLITE]
sybil::react_de(mod) <- de_react[SKIP_REACTION]
if (isTRUE(constrMet)) {
lbnd[sing_react] <- 0
ubnd[sing_react] <- 0
lbnd[de_react] <- 0
ubnd[de_react] <- 0
}
else {}
sybil::lowbnd(mod) <- lbnd[SKIP_REACTION]
sybil::uppbnd(mod) <- ubnd[SKIP_REACTION]
sybil::obj_coef(mod) <- ocof[SKIP_REACTION]
message("OK")
#------------------------------------------------------------------------------#
# gene to reaction mapping #
#------------------------------------------------------------------------------#
if (isTRUE(ignoreNoAn)) {
sybil::gprRules(mod) <- character(numreact)
sybil::genes(mod) <- vector(mode = "list", length = numreact)
sybil::gpr(mod) <- character(numreact)
sybil::allGenes(mod) <- character(numreact)
sybil::rxnGeneMat(mod) <- Matrix::Matrix(FALSE, nrow = numreact, ncol = numreact, sparse = TRUE)
sybil::subSys(mod) <- Matrix::Matrix(FALSE, nrow = numreact, ncol = 1, sparse = TRUE)
}
else {
subSys <- subSys[SKIP_REACTION]
genes <- genes[SKIP_REACTION]
rules <- rules[SKIP_REACTION]
gpr <- gpr[SKIP_REACTION]
# if there were fbcgprRules or notes with gpr rules,
# create reaction x nGene matrix, with TRUE for respective genes for each reaction
if (isTRUE(hasNotes) || !is.null(fbcgprRules) ) {
message("GPR mapping ... ", appendLF = FALSE)
# Vector with all gene names != "":
allGenesTMP <- unique(unlist(genes))
temp <- nchar(allGenesTMP)
allGenes <- allGenesTMP[which(temp != 0)]
# reaction x nGene matrix initialization with FALSE:
rxnGeneMat <- Matrix::Matrix(FALSE,
nrow = numreact,
ncol = length(allGenes),
sparse = TRUE)
for (i in 1 : numreact) {
# if genes list element i has only 1 element and that element is not equal ""
if ( (length(genes[[i]] == 1)) && all(genes[[i]] != "") ) {
geneInd <- match(genes[[i]], allGenes)# find gene in allGenes
# Mark which genes are used in reaction with TRUE
rxnGeneMat[i, geneInd] <- TRUE
# exchange x(j) with x[j] for each gene index:
for (j in 1 : length(geneInd)) {
pat <- paste("x(", j, ")", sep = "")
repl <- paste("x[", geneInd[j], "]", sep = "")
rules[i] <- gsub(pat, repl, rules[i], fixed = TRUE)
}
}
}
#
sybil::genes(mod) <- genes
sybil::gpr(mod) <- gpr
sybil::allGenes(mod) <- allGenes
sybil::gprRules(mod) <- rules
sybil::rxnGeneMat(mod) <- rxnGeneMat
#sybil::subSys(mod) <- subSys
if(is.null(subSysGroups)){
sybil::subSys(mod) <- sybil:::.prepareSubSysMatrix(subSys, numreact)
}
#sbml@gprRules <- rules
#sbml@genes <- genes
#sbml@gpr <- gpr
#sbml@allGenes <- allGenes
#sbml@subSys <- subSys
message("OK")
}
else {# no notes and no fbcgprRules:
sybil::rxnGeneMat(mod) <- Matrix::Matrix(NA, nrow = 0, ncol = 0)
if (isTRUE(hasAnnot)) {
# then we extracted the subsystem from annotation, so set it:
#subSys(sbml) <- subSys
sybil::subSys(mod) <- sybil:::.prepareSubSysMatrix(subSys, numreact)
}
else {
# No subsystems:
sybil::subSys(mod) <- Matrix::Matrix(FALSE,
nrow = numreact,
ncol = 1,
sparse = TRUE)
}
}
}
#------------------------------------------------------------------------------#
# reaction id's #
#------------------------------------------------------------------------------#
message("cleaning up ... ", appendLF = FALSE)
react_id_tmp <- sub( "^R[_]+", "", react_id_tmp[SKIP_REACTION]) # remove the leading R_
#react_id_tmp <- gsub("_LPAREN_", "(", react_id_tmp, fixed = TRUE)
#react_id_tmp <- gsub("_RPAREN_", ")", react_id_tmp, fixed = TRUE)
#react_id_tmp <- gsub("_LSQBKT_", "[", react_id_tmp, fixed = TRUE)
#react_id_tmp <- gsub("_RSQBKT_", "]", react_id_tmp, fixed = TRUE)
#react_id_tmp <- gsub("_COMMA_", ",", react_id_tmp, fixed = TRUE)
#react_id_tmp <- gsub("_APOS_", "'", react_id_tmp, fixed = TRUE)
#react_id_tmp <- gsub("_DASH_", "-", react_id_tmp, fixed = TRUE)
#react_id_tmp <- sub( "_e_?$", "(e)", react_id_tmp) # nicer formatting of exchange reactions
#sybil::react_id(mod) <- gsub("-", "_", react_id_tmp, fixed = TRUE)
sybil::react_id(mod) <- formatSBMLid(react_id_tmp)
#------------------------------------------------------------------------------#
# reaction names #
#------------------------------------------------------------------------------#
react_name_tmp <- reactionsList[["name"]][SKIP_REACTION]
react_name_tmp <- sub( "^R[_]+", "", react_name_tmp)
react_name_tmp <- gsub("[_]+", " ", react_name_tmp)
react_name_tmp <- sub( "\\s+$", "", react_name_tmp, perl = TRUE)
sybil::react_name(mod) <- react_name_tmp
#------------------------------------------------------------------------------#
# Reaction Attr @Ardalan #
#------------------------------------------------------------------------------#
# Test for new Slots
if( .hasSlot(mod,"mod_attr") && .hasSlot(mod,"comp_attr") && .hasSlot(mod,"met_attr") && .hasSlot(mod,"react_attr") )
newSybil<-TRUE
else newSybil<-FALSE
numreact<-nummet <- sum(SKIP_REACTION)
reactannotation <- reactionsList[["annotation"]][SKIP_REACTION]
reactnotes <- reactionsList[["notes"]][SKIP_REACTION]
if(newSybil)
{
sybil::react_attr(mod) <-data.frame(row.names=1:numreact)
#Speed optimierung durch notes NULL falls nichts drin steht
if( !is.null(reactannotation) && length(reactannotation)==numreact )sybil::react_attr(mod)[['annotation']]<-reactannotation
if( !is.null(reactnotes) && length(reactnotes)==numreact )sybil::react_attr(mod)[['notes']]<-reactnotes
}
#------------------------------------------------------------------------------#
# subSys from groups #
#------------------------------------------------------------------------------#
if(!is.null(subSysGroups)){
# sub system groups for each reaction from subSysGroups:
subSysMat <- Matrix::Matrix(FALSE, nrow = numreact, ncol = length(subSysGroups), sparse = TRUE)
colnames(subSysMat) <- names(subSysGroups)
subSysMat <- Matrix::Matrix( do.call("cbind",
lapply(subSysGroups, function(x){
ids <- formatSBMLid(sub( "^R[_]+", "", x))
sybil::react_id(mod) %in% ids
})),
sparse = TRUE
)
sybil::subSys(mod) <- subSysMat
}
#------------------------------------------------------------------------------#
# Model Attr @Ardalan #
#------------------------------------------------------------------------------#
modanno<-getSBMLmodAnnotation(sbmlmod)
modnotes<-getSBMLmodNotes(sbmlmod)
if(newSybil)
{
# set model annotation and notes:
sybil::mod_attr(mod) <-data.frame(row.names=1)
if(nchar(modanno)>1)sybil::mod_attr(mod)[['annotation']]<-modanno
if(nchar(modnotes)>1)sybil::mod_attr(mod)[['notes']]<-modnotes
}
#------------------------------------------------------------------------------#
# compartments Attr @Ardalan #
#------------------------------------------------------------------------------#
# set comp_attr slot for model with 'annotation' and 'notes' from values in compartmentsList:
# Define SKIP_COMPARTMENT FALSE= HAS NO REFERENCE
met_comp_tmp <- metabolitesList[["compartment"]][met_id_pos][SKIP_METABOLITE]
SKIP_COMPARTMENT<- comp_tmp_id %in% unique(met_comp_tmp)
sybil::mod_compart(mod) <- comp_tmp_id[SKIP_COMPARTMENT]
numcom<-length(mod_compart(mod))
comannotation <- compartmentsList[["annotation"]][SKIP_COMPARTMENT]
comnotes <- compartmentsList[["notes"]][SKIP_COMPARTMENT]
if(newSybil)
{
sybil::comp_attr(mod) <-data.frame(row.names=1:numcom)
if( !is.null(comannotation) && length(comannotation)==numcom )sybil::comp_attr(mod)[['annotation']]<-comannotation
if( !is.null(comnotes) && length(comnotes)==numcom )sybil::comp_attr(mod)[['notes']]<-comnotes
}
#------------------------------------------------------------------------------#
# metabolite id's #
#------------------------------------------------------------------------------#
met_id_tmp <- sub( "^[MSms]_+", "", met_id_tmp[SKIP_METABOLITE]) # remove the leading M_ or S_
#met_id_tmp <- gsub( "[_]+", "_", met_id_tmp)
met_id_tmp <- sub( "_([A-Za-z0-9]+)$", "[\\1]", met_id_tmp) # put the compartment id into square brackets
sybil::met_id(mod) <- gsub("-", "_", met_id_tmp, fixed = TRUE)
#sybil::met_id(mod) <- gsub("[-_]+", "_", met_id_tmp)
#------------------------------------------------------------------------------#
# metabolite compartments #
#------------------------------------------------------------------------------#
#met_comp_tmp <- metabolitesList[["compartment"]][met_id_pos][SKIP_METABOLITE]
sybil::met_comp(mod) <- match(met_comp_tmp, sybil::mod_compart(mod))
#------------------------------------------------------------------------------#
# metabolite names #
#------------------------------------------------------------------------------#
met_name_tmp <- metabolitesList[["name"]][met_id_pos][SKIP_METABOLITE]
met_name_tmp <- sub( "^[MS]?[_]+", "", met_name_tmp)
met_name_tmp <- gsub("[-_]+", "-", met_name_tmp)
met_name_tmp <- sub("-$", "", met_name_tmp)
met_name_tmp <- sub( "\\s+$", "", met_name_tmp, perl = TRUE)
sybil::met_name(mod) <- met_name_tmp
#------------------------------------------------------------------------------#
# metabolite attr @Ardalan Habil #
#------------------------------------------------------------------------------#
#ChemicalFormula Charge Notes Annotation MetaID @Ardalan Habil
metformula <- metabolitesList[["chemicalFormula"]][met_id_pos][SKIP_METABOLITE]
metcharge <- metabolitesList[["charge"]][met_id_pos][SKIP_METABOLITE]
metnotes <- metabolitesList[["notes"]][met_id_pos][SKIP_METABOLITE]
metannotation <- metabolitesList[["annotation"]][met_id_pos][SKIP_METABOLITE]
metchargenote<-NULL
metformulanote<-NULL
# check metnotes for Formula and Charge
if( !is.null(metnotes) && length(metnotes==nummet))
{
pn <- regexpr("FORMULA: [^<]+", metnotes, perl = TRUE)
metformulanote <- substr(metnotes, (pn+9), pn + ((attr(pn, "match.length"))-1))
pn <- regexpr("CHARGE: [^<]+", metnotes, perl = TRUE)
metchargenote <- substr(metnotes, (pn+8), pn + ((attr(pn, "match.length"))-1))
metchargenote <- as.integer(metchargenote)
metchargenote[is.na(metchargenote)] <- 0
}
nummet <- sum(SKIP_METABOLITE)
if(newSybil)
{
# save attributes to met_attr slot
sybil::met_attr(mod) <-data.frame(row.names=1:nummet)
if( !is.null(metformula) && length(metformula)==nummet)
{
sybil::met_attr(mod)[['chemicalFormula']]<-metformula
}
else{
if(length(metformulanote)==nummet)
{
if(max(nchar(metformulanote)) >0)
sybil::met_attr(mod)[['chemicalFormula']]<-metformulanote
}
}
if( !is.null(metcharge) && length(metcharge)==nummet && sum(metcharge)!=0)
{
sybil::met_attr(mod)[['charge']]<-metcharge
}
else{
if( length(metchargenote)==nummet)
{
if(max(nchar(metchargenote)) >0)
sybil::met_attr(mod)[['charge']]<-metchargenote
}
}
if( !is.null(metnotes) && length(metnotes)==nummet)
sybil::met_attr(mod)[['notes']]<-metnotes
if( !is.null(metannotation) && length(metannotation)==nummet)
sybil::met_attr(mod)[['annotation']]<-metannotation
# Save boundaryCondition when bndCond=FALSE
if (!isTRUE(bndCond)) {
metBnd <- metabolitesList[["boundaryCondition"]][met_id_pos][SKIP_METABOLITE]
# When all metBnd = False -> metabolite removed by extMetFlag
if( !is.null(metBnd) && length(metBnd)==nummet && !all(metBnd == FALSE) )
sybil::met_attr(mod)[['boundaryCondition']]<-metBnd
}
}
#------------------------------------------------------------------------------#
# check reversibilities #
#------------------------------------------------------------------------------#
# check up with the matlab version
# check the reversibilities
react_rev_tmp <- react_rev_tmp[SKIP_REACTION]
isrev <- which(sybil::lowbnd(mod) < 0 & sybil::uppbnd(mod) > 0)
#print(isrev)
react_rev_tmp[isrev] <- TRUE
sybil::react_rev(mod) <- react_rev_tmp
message("OK")
#------------------------------------------------------------------------------#
# validate the model #
#------------------------------------------------------------------------------#
message("validating object ... ", appendLF = FALSE)
check <- validObject(mod, test = TRUE)
if (check != TRUE) {
msg <- paste("Validity check failed:", check, sep = "\n ")
warning(msg)
}
message("OK")
#------------------------------------------------------------------------------#
# return the model #
#------------------------------------------------------------------------------#
delSBMLmodel(sbmlmod)
closeSBMLfile(sbmldoc)
# Returns sbml, an object of the class modelorg
return(mod)
}
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