Mercurial > repos > bitlab > plidflow
diff PLIDflow/scripts/gpffilemaker.R @ 6:795e11fac81b draft default tip
Included new tools for standardization
author | bitlab |
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date | Wed, 22 Apr 2020 06:12:00 -0400 |
parents | 6fcfa4756040 |
children |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/PLIDflow/scripts/gpffilemaker.R Wed Apr 22 06:12:00 2020 -0400 @@ -0,0 +1,116 @@ +#gpffilemaker makes the GPF file + +#!/usr/bin/env Rscript +args = commandArgs(trailingOnly=TRUE) + +if(length(args) < 1){ + stop("USE: Rscript gpffilemaker.R <receptor_name> <session_dir>") +} + +#Read file containing PDB geometric center and number of points x, y ,z +#archivo_center_npts <- scan("/home/galaxy/galaxy/tools/proteindocking/scripts/pdbcenter_npts.txt", what = character(), quiet = TRUE) +archivo_center_npts <- scan("pdbcenter_npts.txt", what = character(), quiet = TRUE) + +#Read file containing receptor atom types +ver <- scan("receptor_atm_types.txt", what = character(), quiet = TRUE, na.strings = "NULLAJSKAJSFL") + + +#Arguments definition +receptor_name <- args[1] +session_dir <- args[2] +aux_receptor_name <- basename(args[1]) +#aux_receptor_name <- paste("/home/galaxy/galaxy/tools/proteindocking/scripts/", basename(args[1]), sep="") +npts_x <- archivo_center_npts[4] +npts_y <- archivo_center_npts[5] +npts_z <- archivo_center_npts[6] +gridcenter_x <- archivo_center_npts[1] +gridcenter_y <- archivo_center_npts[2] +gridcenter_z <- archivo_center_npts[3] + +#Creation of the GPF file +#Row 1 +fila_1_e1 <- paste("npts", npts_x, sep = " ") +fila_1_e2 <- paste(fila_1_e1, npts_y, sep = " ") +fila_1_e3 <- paste(fila_1_e2, npts_z, sep = " ") +fila_1 <- paste(fila_1_e3, "# num.grid points in xyz", sep = " ") + +#Row 2 +fila_2_e2 <- paste(aux_receptor_name, ".maps.fld", sep = "") +fila_2_e1 <- paste("gridfld", fila_2_e2, sep = " " ) +fila_2 <- paste(fila_2_e1, "# grid_data_file", sep = " ") + +#Row 3 +fila_3 <- paste("spacing 1.0", "# spacing(A)", sep = " ") + +#Row 4 +#fila_4 <- paste("receptor_types A C HD N NA OA S SA", "# receptor atom types", sep = " ") +cabecera_f4 <- ver[1] +vector_f4 <- c() +for(f4 in 2:length(ver)){ + cabecera_f4 <- paste(cabecera_f4, ver[f4], sep = " ") +} + +fila_4 <- paste("receptor_types", cabecera_f4, "# receptor atom types", sep = " ") +#print(fila_4) + +#Row 5 +fila_5 <- paste("ligand_types C HD OA", "# ligand atom types", sep = " ") + +#Row 6 +fila_6_e2 <- paste(aux_receptor_name, ".pdbqt", sep = "") +fila_6_e1 <- paste("receptor", fila_6_e2, sep = " ") +fila_6 <- paste(fila_6_e1, "# macromolecule", sep = " ") + +#Row 7 +fila_7_e1 <- paste("gridcenter",gridcenter_x, sep = " ") +fila_7_e2 <- paste(fila_7_e1, gridcenter_y, sep = " ") +fila_7_e3 <- paste(fila_7_e2, gridcenter_z, sep = " ") +fila_7 <- paste(fila_7_e3, "# xyz-coordinates or auto", sep = " ") + +#Row 8 +fila_8 <- paste("smooth 0.5", "# store minimum energy w/in rad(A)", sep = " ") + +#Row 9 +fila_9_e2 <- paste(aux_receptor_name, ".C.map", sep = "") +fila_9_e1 <- paste("map", fila_9_e2, sep = " ") +fila_9 <- paste(fila_9_e1, "# atom-specific affinity map", sep = " ") + +#Row 10 +fila_10_e2 <- paste(aux_receptor_name, ".HD.map", sep = "") +fila_10_e1 <- paste("map",fila_10_e2, sep = " ") +fila_10 <- paste(fila_10_e1, "# atom-specific affinity map", sep = " ") + +#Row 11 +fila_11_e2 <- paste(aux_receptor_name, ".OA.map", sep = "") +fila_11_e1 <- paste("map", fila_11_e2, sep = " ") +fila_11 <- paste(fila_11_e1, "# atom-specific affinity map", sep = " ") + +#Row 12 +fila_12_e2 <- paste(aux_receptor_name, ".e.map", sep = "") +fila_12_e1 <- paste("elecmap", fila_12_e2, sep = " ") +fila_12 <- paste(fila_12_e1, "# electrostatic potential map", sep = " ") + +#Row 13 +fila_13_e2 <- paste(aux_receptor_name, ".d.map", sep = "") +fila_13_e1 <- paste("dsolvmap", fila_13_e2, sep = " ") +fila_13 <- paste(fila_13_e1, "# desolvation potential map", sep = " ") + +#Row 14 +fila_14 <- paste("dielectric -0.1465", "# <0, AD4 distance-dep.diel;>0, constant", sep = " ") + +#Paste all rows with a line jump for separation +filas <- c(fila_1, fila_2, fila_3, fila_4, fila_5, fila_6, fila_7, fila_8, fila_9, fila_10, fila_11, fila_12, fila_13, fila_14) + +datos<- c() +for(i in 1:14){ +datos <- paste(c(datos, filas[i])) +} + +#nombre_final <- paste("/home/galaxy/galaxy/tools/proteindocking/scripts/", basename(args[1]), ".gpf", sep="") +nombre_final <- paste(basename(args[1]), ".gpf", sep="") + +write(datos, file=nombre_final, append = FALSE) + +#write(basename(args[1]), file= paste("/home/galaxy/galaxy/tools/proteindocking/scripts/", basename(args[1]), ".txt", sep="")) #parte añadida 18jun2018 +write(basename(args[1]), file= paste(basename(args[1]), ".txt", sep="")) #parte añadida 18jun2018 +