# -*- tab-width:2;indent-tabs-mode:t;show-trailing-whitespace:t;rm-trailing-spaces:t -*-
# vi: set ts=2 noet:
#
# (c) Copyright Rosetta Commons Member Institutions.
# (c) This file is part of the Rosetta software suite and is made available under license.
# (c) The Rosetta software is developed by the contributing members of the Rosetta Commons.
# (c) For more information, see http://www.rosettacommons.org. Questions about this can be
# (c) addressed to University of Washington UW TechTransfer, email: license@u.washington.edu.
library(ggplot2)
library(plyr)
library(dplyr)
library(stats)
feature_analyses <- c(feature_analyses, methods::new("FeaturesAnalysis",
id = "omega_angle",
author = "Matthew O'Meara",
brief_description = "",
feature_reporter_dependencies = c("ResidueFeatures", "ProteinBackboneTorsionAngleFeatures", "ResidueSecondaryStructureFeatures", "PdbDataFeatures"),
run=function(self, sample_sources, output_dir, output_formats){
sele <-"
SELECT
res.name3 AS res_type,
ss.dssp,
bb.omega,
CASE WHEN abs(bb.omega) < 90 THEN 'cis' ELSE 'trans' END AS isomerization
FROM
residues AS res,
residue_pdb_confidence AS res_conf,
residue_secondary_structure AS ss,
protein_backbone_torsion_angles AS bb
WHERE
res_conf.struct_id = res.struct_id AND res_conf.residue_number = res.resNum AND
res_conf.max_temperature < 30 AND
ss.struct_id = res.struct_id AND ss.resNum == res.resNum AND
bb.struct_id = res.struct_id AND bb.resNum == res.resNum;"
f <- query_sample_sources(sample_sources, sele) %>%
mutate(
omega_180 = ifelse(omega < 0, omega + 360, omega))
dens <- f %>%
filter(isomerization == 'trans') %>%
estimate_density_1d(c("sample_source"), "omega_180")
plot_id <- "backbone_geometry_omega_angle_trans"
p <- ggplot(dens) + theme_bw() +
geom_line(aes(x, y, colour=sample_source), size=2) +
ggtitle("Trans Omega Angle; B-Factor < 30") +
geom_vline(xintercept=180) +
scale_x_continuous(
"Omega Angle (degrees)",
limit=c(150,210),
breaks=c(150, 160, 170, 180, 190, 200, 210)) +
scale_y_continuous("Feature Density")
if(nrow(sample_sources) <= 3){
p <- p + theme(legend.position="bottom", legend.direction="horizontal")
}
save_plots(self, plot_id, sample_sources, output_dir, output_formats)
dens <- f %>%
filter(isomerization == 'cis') %>%
estimate_density_1d(c("sample_source"), "omega_180")
plot_id <- "backbone_geometry_omega_angle_cis"
p <- ggplot(dens) + theme_bw() +
geom_line(aes(x, y, colour=sample_source), size=2) +
ggtitle("Cis Omega Angle; B-Factor < 30") +
geom_vline(xintercept=0) +
scale_x_continuous(
"Omega Angle (degrees)",
limit=c(-30,30),
breaks=c(-30, -20, -10, 0, 10, 20, 30)) +
scale_y_continuous("Feature Density")
if(nrow(sample_sources) <= 3){
p <- p + theme(legend.position="bottom", legend.direction="horizontal")
}
save_plots(self, plot_id, sample_sources, output_dir, output_formats)
z <- as.data.frame(xtabs(~sample_source + isomerization, f))
print(summary(z))
plot_id <- "backbone_geometry_omega_angle_isomerization"
p <- ggplot(z) + theme_bw() +
geom_bar(aes(x=isomerization, y=Freq, fill=sample_source), stat="identity", position="dodge") +
ggtitle("Omega Angle Trans/Cis Isomerization Ratio; B-factor < 30") +
scale_y_continuous("Counts") +
scale_x_discrete("Isomerization") +
scale_fill_discrete("Sample Source")
if(nrow(sample_sources) <= 3){
p <- p + theme(legend.position="bottom", legend.direction="horizontal")
}
save_plots(self, plot_id, sample_sources, output_dir, output_formats)
})) # end FeaturesAnalysis
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