```{css, code = readLines(params$my_css), hide=TRUE, echo = FALSE}
```r
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
library(httptest)
start_vignette("2")
if (!library(ctxR, logical.return = TRUE)){ devtools::load_all() } old_options <- options("width")
# Used to visualize data in a variety of plot designs library(ggplot2) library(gridExtra)
# Redefining the knit_print method to truncate character values to 25 characters # in each column and to truncate the columns in the print call to prevent # wrapping tables with several columns. #library(ctxR) knit_print.data.table = function(x, ...) { y <- data.table::copy(x) y <- y[, lapply(.SD, function(t){ if (is.character(t)){ t <- strtrim(t, 25) } return(t) })] print(y, trunc.cols = TRUE) } registerS3method( "knit_print", "data.table", knit_print.data.table, envir = asNamespace("knitr") )
In this vignette, CTX Chemical API will be explored.
The foundation of toxicology, toxicokinetics, and exposure is embedded in the physics and chemistry of chemical-biological interactions. The accurate characterization of chemical structure linked to commonly used identifiers, such as names and Chemical Abstracts Service Registry Numbers (CASRNs), is essential to support both predictive modeling of the data as well as dissemination and application of the data for chemical safety decisions.
With cheminformatics as the backbone for research efforts, sources of available data through the CTX Chemical API include:
More information on Chemicals and Chemistry Data can be found here: https://www.epa.gov/comptox-tools/downloadable-computational-toxicology-data#SCD.
::: {.noticebox data-latex=""} NOTE: Please see the introductory vignette for an overview of the ctxR package and initial set up instruction with API key storage. :::
Several ctxR functions can be used to access the CTX Chemical API data, as described in the following sections.Tables output in each example have been filtered to only display the first few rows of data.
get_chemical_details() retrieves chemical detail data either using the chemical identifier DTXSID or DTXCID. Alternate parameter "projection" determines the type of data returned. Examples for each are provided below:
chemical_details_by_dtxsid <- get_chemical_details(DTXSID = 'DTXSID7020182')
chemical_details_by_dtxcid <- get_chemical_details(DTXCID = 'DTXCID30182')
vector_dtxsid<- c("DTXSID7020182", "DTXSID9020112", "DTXSID8021430") chemical_details_by_batch_dtxsid <- get_chemical_details_batch(DTXSID = vector_dtxsid) vector_dtxcid <- c("DTXCID30182", "DTXCID801430", "DTXCID90112") chemical_details_by_batch_dtxcid <- get_chemical_details_batch(DTXCID = vector_dtxcid)
check_existence_by_dtxsid() checks if the supplied DTXSID is valid and returns a URL for additional information on the chemical in the case of a valid DTXSID.
dtxsid_check_true <- check_existence_by_dtxsid(DTXSID = 'DTXSID7020182') dtxsid_check_false <- check_existence_by_dtxsid(DTXSID = 'DTXSID7020182f')
vector_dtxsid_and_non_dtxsid <- c('DTXSID7020182F', 'DTXSID7020182', 'DTXSID0020232F') dtxsid_checks <- check_existence_by_dtxsid_batch(DTXSID = vector_dtxsid_and_non_dtxsid)
get_chemical_by_property_range() retrieves data for chemicals that have a specified property within the input range.
chemical_by_property_range <- get_chemical_by_property_range(start = 1.311, end = 1.313, property = 'Density')
get_chem_info() retrieves specific chemical information for an input chemical. This includes both experimental and predicted values by default, but providing "experimental" or "predicted" to the type parameter will return the specific associated information.
chemical_info <- get_chem_info(DTXSID = 'DTXSID7020182')
get_fate_by_dtxsid() retrieves chemical fate data.
fate_by_dtxsid <- get_fate_by_dtxsid(DTXSID = 'DTXSID7020182')
Chemicals can be searched using string values. These values can be a chemical name, DTXSID, DTXCID, CAS Registry Number (CASRN), or InChIKey. Examples for each are provided by the following:
DTXSID must be complete DTXCID must be complete CAS Registry Number (CASRN) must be complete InChIKey must contain first 14 characters
search_starts_with_dtxsid <- chemical_starts_with(word = 'DTXSID7020182') search_starts_with_chem_name <- chemical_starts_with(word = 'Bisph') search_starts_with_casrn <- chemical_starts_with(word = '80-05-7') search_starts_with_inchikey <- chemical_starts_with(word = 'IISBACLAFKSPIT')
search_exact_dtxsid <- chemical_equal(word = 'DTXSID7020182') search_exact_chem_name <- chemical_equal(word = 'Bisphenol A') search_exact_casrn <- chemical_equal(word = '80-05-7') search_exact_inchikey <- chemical_equal(word = 'IISBACLAFKSPIT-UHFFFAOYSA-N')
search_contains_dtxsid <- chemical_contains(word = 'DTXSID702018') search_contains_chem_name <- chemical_contains(word = 'Bisph') search_contains_casrn <- chemical_contains(word = '80-05-7') search_contains_inchikey <- chemical_contains(word = 'IISBACLAF')
MS-Ready (McEachran, A. et al. 2018) data can be retrieved using a variety of input information. Examples for each are provided below:
msready_by_mass <- get_msready_by_mass(start = 200.9, end = 200.95)
msready_by_formula <- get_msready_by_formula(formula = 'C16H24N2O5S')
msready_by_dtxcid <- get_msready_by_dtxcid(DTXCID = 'DTXCID30182')
There are several lists of chemicals one can access using the CCD list search. These can be filtered by the type, name, inclusion of a specific chemical, or name of list.
get_all_list_types()
chemical_lists_by_type <- get_chemical_lists_by_type(type = 'federal')
public_chemical_list_by_name <- get_public_chemical_list_by_name(listname = 'CCL4')
get_lists_containing_chemical() retrieves a list of names of chemical lists, each of which contains the specified chemical.
lists_containing_chemical <- get_lists_containing_chemical(DTXSID = 'DTXSID7020182')
get_chemicals_in_list_start() retrieves a list of DTXSIDs for a given starting character string in a specified list of chemicals.
chemicals_in_ccl4_start <- get_chemicals_in_list_start(list_name = 'CCL4', word = 'Bi')
get_chemicals_in_list_exact() retrieves a list of DTXSIDs matching exactly a given character string in a specified list of chemicals.
chemicals_in_ccl4_exact <- get_chemicals_in_list_exact(list_name = 'BIOSOLIDS2021', word = 'Bisphenol A')
get_chemicals_in_list_contain() retrieves a list of DTXSIDs that contain a given character string in a specified list of chemicals.
chemicals_in_ccl4_contain <- get_chemicals_in_list_contain(list_name = 'CCL4', word = 'Bis')
get_chemicals_in_list() retrieves the specific chemical information for each chemical contained in the specified list.
chemicals_in_list <- get_chemicals_in_list(list_name = 'CCL4')
There are mrv, mol, and image files that can be accessed using either the DTXSID or DTXCID. Examples are provided below:
get_chemical_mrv() retrieves mrv file information for a chemical specified either by DTXSID or DTXCID.
chemical_mrv_by_dtxsid <- get_chemical_mrv(DTXSID = 'DTXSID7020182') chemical_mrv_by_dtxcid <- get_chemical_mrv(DTXCID = 'DTXCID30182')
get_chemical_mol() retrieves mol file information for a chemical specified either by DTXSID or DTXCID.
chemical_mol_by_dtxsid <- get_chemical_mol(DTXSID = 'DTXSID7020182') chemical_mol_by_dtxcid <- get_chemical_mol(DTXCID = 'DTXCID30182')
get_chemical_image() retrieves image file information for a chemical specified either by DTXSID or DTXCID. To visualize the returned array of image information, the user may use either the png::writePNG() or countcolors::plotArrayAsImage() functions, among many choices.
chemical_image_by_dtxsid <- get_chemical_image(DTXSID = 'DTXSID7020182') chemical_image_by_dtxcid <- get_chemical_image(DTXCID = 'DTXCID30182') chemical_image_by_smiles <- get_chemical_image(SMILES = 'CC(C)(C1=CC=C(O)C=C1)C1=CC=C(O)C=C1') countcolors::plotArrayAsImage(chemical_image_by_dtxsid) countcolors::plotArrayAsImage(chemical_image_by_dtxcid) countcolors::plotArrayAsImage(chemical_image_by_smiles)
get_chemical_synonym() retrieves synonyms for the specified chemical.
chemical_synonym <- get_chemical_synonym(DTXSID = 'DTXSID7020182')
In this vignette, a variety of functions that access different types of data found in the Chemical endpoints of the CTX APIs were explored. While this exploration was not exhaustive, it provides a basic introduction to how one may access data and work with it. Additional endpoints and corresponding functions exist and we encourage the user to explore these while keeping in mind the examples contained in this vignette.
# This chunk will be hidden in the final product. It serves to undo defining the # custom print function to prevent unexpected behavior after this module during # the final knitting process and restores original option values. knit_print.data.table = knitr::normal_print registerS3method( "knit_print", "data.table", knit_print.data.table, envir = asNamespace("knitr") ) options(old_options)
end_vignette()
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