Difference between revisions of "Displacementmap"

From PyMOLWiki
Jump to navigation Jump to search
m (moved DisplacementMap to Displacementmap: Small letters)
Line 30: Line 30:
  
 
== Example ==
 
== Example ==
−
<source lang="python">
+
<syntaxhighlight lang="python">
 
dispmap(molecule1="NIL", molecule2="NIL", mindist=30.0, mindelta=15.0, resi1=str(0), resi2=str(0), atom='CA', listlength=5, showsticks='yes'):
 
dispmap(molecule1="NIL", molecule2="NIL", mindist=30.0, mindelta=15.0, resi1=str(0), resi2=str(0), atom='CA', listlength=5, showsticks='yes'):
 
dispmap Open5NT, Closed5NT, 40.0, 15.0, resi1=206, resi2=1-512.515-550  
 
dispmap Open5NT, Closed5NT, 40.0, 15.0, resi1=206, resi2=1-512.515-550  
 
dispmap Open5NT, Closed5NT, 30.0, 15.0, resi2=1-512.515-550, atom=CA, listlength=10  
 
dispmap Open5NT, Closed5NT, 30.0, 15.0, resi2=1-512.515-550, atom=CA, listlength=10  
−
</source>
+
</syntaxhighlight>
  
 
== Output ==
 
== Output ==

Revision as of 11:33, 1 December 2011

Author

This pymol script is made by Troels Emtekær Linnet

Overview

DisplacementMap is made for easy investigations of suitable positions for site-directed mutagenesis of amino residues into cysteines and FRET/EPR pair labelling.

A Open and Closed form of a protein should be loaded. New objects should be created for the selected asymmetric unit. Parts of the protein should be aligned, leaving the flexible part in two different positions.

The input is the objects, Open (molecule1) and Closed (molecule2).
Further is the criteria for selecting which atom the distance should be calculated between. Standard is atom='CA' (atom).
Then one selects the Förster distance R0 (mindist). This is the minimum distance between the residues. This depends of the selection of the FRET pair and protein at hand. But usually in the range 40 - 80 Angstrom is suitable.
Then one defines the minimum displacement that is accepted. Usually R0/2 (mindelta).
The script will find the 5 best (listlength=5) positive and negative distance displacement between the two objects.

It parses the results back to Pymol, that is standard set to show it as sticks (showsticks='yes').
If one is looking for a particular residue range for the FRET pair, this can be specified with two input. resi1=24.45-47.86 resi2=100-105.107 resi1 is "from" and resi2 is "to". Individual residues are split by a ".", and ranges are defined with "-".
In the end, it makes a large data-matrix with all the distances. It also produces a gnuplot file, for easy visualisation. Just drag the .plt file for win gnuplot command window and it plots your datamatrix.

Bugs

If the criterion is set to low, the memory gets flooded in the data-matrix file, making the file unreadable. No solutions found yet.

Instructions

  1. Make a folder
  2. Copy the code to your machine, and name: dispmap.py . You can for example put it into your pymol search path.
  3. Download the .pdb files of the Open and Closed form of your protein
  4. Make a pymol script file, that makes the alignment and such. See example.
  5. Run the script and see the results in command window and suggestions in pymol window
  6. Run the gnuplot file to see the data-matrix

Example

dispmap(molecule1="NIL", molecule2="NIL", mindist=30.0, mindelta=15.0, resi1=str(0), resi2=str(0), atom='CA', listlength=5, showsticks='yes'):
dispmap Open5NT, Closed5NT, 40.0, 15.0, resi1=206, resi2=1-512.515-550 
dispmap Open5NT, Closed5NT, 30.0, 15.0, resi2=1-512.515-550, atom=CA, listlength=10

Output

Suggestions are created in pymol, and gnuplot file is created for easy visualisation of pair data-matrix and the general backbone displacement.

  • O5NT-C5NT-CA-dist.png
  • O5NT-C5NT-CA-dist-menu.png
  • O5NT-C5NT-CA-dist-gnuplot.png
  • O5NT-C5NT-CA-dist-backbone.png

Text output

In the data-matrix.txt file, you find the best suggestions 

# Input 1: Open5NT  and Input 2: Closed5NT
# Find for: CA  with min. residue-residue dist: 30.0 Angstrom
# Looking for min. displacement dist: 15.0 Angstrom
# I give nr# suggestions: 5, and do I show sticks in pymol?: yes
# I look for suggestions in the range: ([0]=>means all residues)
# for Input 1: ['0'] and for Input 2: ['0']
# Mutation info is BLOSUM62 log-odds likelihood score and PAM250 is probability in % for evolutionary distance
###########################################################################################################
# Max Negative and positive distances                                       #       Mutation info         #
###########################################################################################################
# Obj.1   Obj.2   Delta   Op-Op Cl-Cl # Obj.1   Obj.2   Delta   Op-Op Cl-Cl # Res.1  Res.2 # Res.1  Res.2 #
# Res.1   Res.2   -Dist   Dist  Dist  # Res.1   Res.2   +Dist   Dist  Dist  # B62/PAM250%  # B62/PAM250%  #
###########################################################################################################
# PRO241  ASP456  -25.7   59.1   33.4 # PRO274  PRO513   26.8   31.2   58.0 # -3/ 2 -3/ 1  # -3/ 2 -3/ 2  #
# LYS197  ASP456  -25.6   57.3   31.7 # THR273  PRO513   26.1   31.6   57.7 # -1/ 1 -3/ 1  # -1/ 2 -3/ 2  #
# PRO513  ASP456  -25.4   32.4    7.0 # PRO274  GLY514   24.8   32.9   57.6 # -3/ 2 -3/ 1  # -3/ 2 -3/ 2  #
# LEU198  ASP456  -25.3   59.0   33.7 # PRO274  LYS512   24.7   30.3   55.0 # -1/ 1 -3/ 1  # -3/ 2 -1/ 1  #
# GLN201  ASP456  -25.2   62.8   37.6 # ASN311  PRO513   24.7   35.6   60.3 # -3/ 1 -3/ 1  # -3/ 1 -3/ 2  #

The script also automatically make the gnuplot plot file (.plt), with all the defined variables, for easy visualisation of the data-matrix.txt and the backbone displacement. 

reset
cd '/homes/linnet/Documents/Speciale/5NT-project/Mutant-construct/Distance-Plot/dispmap'

#Title hacks \n is newline, and 0,1 is x,y offset adjustment
set title "Protein CA Displacement matrix map \n ResRes min. 30.0 Ang, Delta min. 15.0 Ang" 0,1
# x is column
set xlabel 'Res nr. for Closed5NT'
# y is row
set ylabel 'Res nr. for Open5NT'

#set xrange [300:550]; set yrange [0:400]
#set xtics 50
#set ytics 50
#set mxtics 5
#set mytics 5
set size ratio 1
unset key

set cbrange [-30:30]
set palette defined (-30 'blue', 0 'white', 30 'red')
set pm3d map

#set term postscript eps enhanced color
#set output "Open5NT-Closed5NT-CA-dist.eps"
set term png
set output "Open5NT-Closed5NT-CA-dist.png"
splot 'Open5NT-Closed5NT-CA-dist.txt' matrix

#For the backbone displacement

set title "Protein CA Backbone displacement" 0,1
set xlabel 'Residue number'
set ylabel 'CA displacement (Ang)'

#set xrange [0:550]; set yrange [0:40]
#set xtics 50
#set ytics 10
#set mxtics 5
#set mytics 5
set size ratio 0.75
unset key

#set term postscript eps enhanced color
#set output "Open5NT-Closed5NT-CA-dist-backbone.eps"
set term png
set output "Open5NT-Closed5NT-CA-dist-backbone.png"
plot 'Open5NT-Closed5NT-CA-dist-backbone.txt' using 1:2 title 'Backbone displacement' with lines

Pymol script file

cd /homes/linnet/Documents/Speciale/5NT-project/Mutant-construct/Distance-Plot/dispmap
#C:\Users\tlinnet\Documents\My Dropbox\Speciale\5NT-project\Mutant-construct\Distance-Plot\dispmap
### load pdb files and rename

fetch 1HP1, async=0
fetch 1HPU, async=0

hide everything, all
### Select asymmetric units from pdb file
create Open5NT, /1HP1//A
create Closed5NT, /1HPU//A
delete 1HP1
delete 1HPU

cartoon auto
show cartoon, all
set cartoon_fancy_helices=1
set bg,[1,1,1]

### align
#align Open5NT and resi 26-355, Closed5NT and resi 26-355
# Super is must faster than align http://www.pymolwiki.org/index.php/Super
super Open5NT and resi 26-355, Closed5NT and resi 26-355

set auto_zoom, off
set_view (\
    -0.374262989,    0.692084968,   -0.617209554,\
    -0.681849480,   -0.656483948,   -0.322660774,\
    -0.628496349,    0.300085038,    0.717594206,\
     0.000000000,    0.000000000, -258.556884766,\
    -0.613845825,    0.472507477,    1.410455704,\
   205.729583740,  311.384277344,    0.000000000 )

### Color
set_color goldenrod1, [1.000, 0.757, 0.145]
color goldenrod1, resi 26-355
set_color darkolivegreen1, [0.792, 1.000, 0.439]
color darkolivegreen1, Open5NT and resi 356-362
set_color darkolivegreen4, [0.431, 0.545, 0.239]
color darkolivegreen4, Closed5NT and resi 356-362
set_color chocolate3, [0.804, 0.400, 0.114]
color chocolate3, Open5NT and resi 363-550
set_color purple4, [0.333, 0.102, 0.545]
color purple4, Closed5NT and resi 363-550

# Select active site
select active_site, resi 117+120+252+116+217+84+41+43+254
show sticks, active_site

# Make Cys-Cys bonds
create SS, (cys/ca+cb+sg) and byres (cys/sg and bound_to cys/sg)
show sticks, SS
color yellow, SS

# Mark water molecules
create waters, resn HOH
show nb_spheres, waters
color blue, waters
disable waters

### Make sharper, and transparent
set fog=0
set cartoon_transparency, 0.7

### Load the function
import dispmap
dispmap
#dispmap Open5NT, Closed5NT, 40.0, 15.0, resi1=206, resi2=1-512.515-550 
## Look for serine
#dispmap mindist=40.0, mindelta=15.0, resi1=206, resi2=330.347.350.405.412.419.457.467.533.534.539.548.336.367.383.397.439.448.490.495.501.518
#dispmap resi1=308, resi2=513

Python Code

The code can be downloaded fast from here http://tinyurl.com/pymoldispmap

  1. wget http://tinyurl.com/pymoldispmap
  2. mv pymoldispmap dispmap.py
from pymol import cmd, stored, selector
from math import *
import os, re

## Thx for inspiration from Andreas Henschel
## http://www.mail-archive.com/pymol-users@lists.sourceforge.net/msg05595.html (17 dec 2010)
## And from Simple scriptin PymMOl http://www.pymolwiki.org/index.php/Simple_Scripting
### Ma.Sc student. Troels Linnet, 2010-12-18. troels.linnet@bbz.uni-leipzig.de

### Calculates the distance for example between all CA atoms between a closed and open form of a structure.
### Give a data matrix and a gnuplot file, and input to pymol for easy visualisation
### Possible so select interesting residues in ranges. Needs to be separated with a dot '.'
### Example input from pymol. with 2 objects.
### dispmap O5NT-1HP1-A, C5NT-1HPU-C, 30.0, 15.0, resi1=23-25, atom=CA, showsticks=yes

def dispmap(molecule1="NIL", molecule2="NIL", mindist=30.0, mindelta=15.0, resi1=str(0), resi2=str(0), atom='CA', listlength=5, showsticks='yes'):
	if molecule1=="NIL":

		assert len(cmd.get_names())!=0, "Did you forget to load a molecule? There are no objects in pymol."

		molecule1=cmd.get_names()[0]

	if molecule2=="NIL":

		assert len(cmd.get_names())!=0, "Did you forget to load a molecule? There are no objects in pymol."

		molecule2=cmd.get_names()[1]

	print "You passed in %s and %s" % (molecule1, molecule2)

	### Open filenames
	filename = str(molecule1) + "-" + str(molecule2) + "-" + str(atom) + "-dist"
	backbonefilename = str(molecule1) + "-" + str(molecule2) + "-" + str(atom) + "backbone-dist.txt"
	outfile = open(filename+".txt", "w")
	backboneoutfile = open(filename+"-backbone.txt", "w")
	gnuoutfile = open(filename+".plt", "w")
	print("I have opened matrix %s for you\n" % (filename+".txt"))

	### Sorting for interesting residues for Obj1 and Obj2.
	### Input is a string, and need to be sorted.
	resi1 = resi1.split('.')
	resi2 = resi2.split('.')
	resi1List = []
	resi2List = []
	for i in resi1:
		if '-' in i:
			tmp = i.split('-')
			resi1List.extend(range(int(tmp[0]),int(tmp[-1])+1))
		if '-' not in i:
			resi1List.append(int(i))
	for i in resi2:
		if '-' in i:
			tmp = i.split('-')
			resi2List.extend(range(int(tmp[0]),int(tmp[-1])+1))
		if '-' not in i:
			resi2List.append(int(i))
	resi1List.sort()
	resi2List.sort()

	### Only take the lines where atom is specified in input
	Object3 = molecule1 + " and name " + str(atom)
	Object4 = molecule2 + " and name " + str(atom)

	### Open 2 name lists
	### Append residue and atom name to the lists
	stored.OpenPDB = []
	stored.ClosedPDB = []
	cmd.iterate(Object3, "stored.OpenPDB.append((resi, name, resn))")
	cmd.iterate(Object4, "stored.ClosedPDB.append((resi, name, resn))")

	### Open 2 x,y,z position lists
	### Append atom position
	stored.OpenPos = []
	stored.ClosedPos = []
	cmd.iterate_state(1, selector.process(Object3), "stored.OpenPos.append((x,y,z))")
	cmd.iterate_state(1, selector.process(Object4), "stored.ClosedPos.append((x,y,z))")

	### Sometimes residues gets skipped in X-ray crys, because of low signal or sim. This leads to number conflict.
	### Make ordered lists according to residue number. Find largest residue number via -1
	OpenOrderedPDB = []
	ClosedOrderedPDB = []
	OpenOrderedPos = []
	ClosedOrderedPos = []
	BackboneDisp = []

	### First fill lists with zeros
	for i in range(int(stored.OpenPDB[-1][0])+1):
		OpenOrderedPDB.append([0,0,0])
	for i in range(int(stored.ClosedPDB[-1][0])+1):
		ClosedOrderedPDB.append([0,0,0])
	for i in range(int(stored.OpenPDB[-1][0])+1):
		OpenOrderedPos.append((0,0,0))
	for i in range(int(stored.ClosedPDB[-1][0])+1):
		ClosedOrderedPos.append((0,0,0))
	for i in range(int(stored.OpenPDB[-1][0])+1):
		BackboneDisp.append([i,0,"NIL",atom])


	### Fill in data the right places
	j=0
	for i in stored.OpenPDB:
		OpenOrderedPDB[int(i[0])]=[int(i[0]),i[1],i[2]]
		OpenOrderedPos[int(i[0])]=stored.OpenPos[j]
		j = j + 1
	j=0
	for i in stored.ClosedPDB:
		ClosedOrderedPDB[int(i[0])]=[int(i[0]),i[1],i[2]]
		ClosedOrderedPos[int(i[0])]=stored.ClosedPos[j]
		j = j + 1

	### Make a list with the missing residues
	MissingRes = []
	for index, resi in enumerate(OpenOrderedPDB):
		if abs(OpenOrderedPDB[index][0]-ClosedOrderedPDB[index][0]) != 0:
			MissingRes.append(abs(OpenOrderedPDB[index][0]-ClosedOrderedPDB[index][0]))
	print("Following residues miss in one of the files, and are discarded for")
	print("further calculations")
	print(MissingRes)
	print("")

	### Make the data matrix
	CalcMatrix = create_nXn_matrix(len(OpenOrderedPos))
	print("Calculating a %s X %s distance Matrix" % (len(OpenOrderedPos), len(ClosedOrderedPos)))

	### Make a list with 10 most negative/positive distances
	MaxNegDist = []
	MaxPosDist = []
	for i in range(int(listlength)):
		MaxNegDist.append([0,0,0,0,0,0,0])
		MaxPosDist.append([0,0,0,0,0,0,0])

	### Calculate distances
	for i in range(len(OpenOrderedPos)):
		for j in range(len(ClosedOrderedPos)):
			if OpenOrderedPos[i][0] != 0 and ClosedOrderedPos[j][0] != 0 and OpenOrderedPDB[i][0] not in MissingRes and ClosedOrderedPDB[j][0] not in MissingRes:
				distOpenOpen = distance(OpenOrderedPos, OpenOrderedPos, i, j)
				distClosedClosed = distance(ClosedOrderedPos, ClosedOrderedPos, i, j)
				distOpenClosed = distance(OpenOrderedPos, ClosedOrderedPos, i, j)
				DeltaDist = distOpenClosed - distOpenOpen
				if i == j: BackboneDisp[i] = [i, DeltaDist, OpenOrderedPDB[i][2], atom]
				###Test if distance is larger than threshold
				if distOpenOpen >= float(mindist) and distClosedClosed >= float(mindist) and abs(DeltaDist) >= float(mindelta):
					CalcMatrix[i][j] = str(round(DeltaDist, 0))
					if DeltaDist < 0 and DeltaDist < MaxNegDist[-1][0] and (i in resi1List or resi1List[-1]==0) and (j in resi2List or resi2List[-1]==0):
						MaxNegDist[-1][0] = DeltaDist
						MaxNegDist[-1][1] = i
						MaxNegDist[-1][2] = j
						MaxNegDist[-1][3] = distOpenOpen
						MaxNegDist[-1][4] = distOpenClosed
						MaxNegDist[-1][5] = str(OpenOrderedPDB[i][2])
						MaxNegDist[-1][6] = str(ClosedOrderedPDB[j][2])
						MaxNegDist = sorted(MaxNegDist)
					if DeltaDist > 0 and DeltaDist > MaxPosDist[-1][0] and (i in resi1List or resi1List[-1]==0) and (j in resi2List or resi2List[-1]==0):
						MaxPosDist[-1][0] = DeltaDist
						MaxPosDist[-1][1] = i
						MaxPosDist[-1][2] = j
						MaxPosDist[-1][3] = distOpenOpen
						MaxPosDist[-1][4] = distOpenClosed
						MaxPosDist[-1][5] = str(OpenOrderedPDB[i][2])
						MaxPosDist[-1][6] = str(ClosedOrderedPDB[j][2])
						MaxPosDist = sorted(MaxPosDist, reverse=True)

	print("I made a datamatrix and backbone.txt file for you")
	print("matrix: %s backbone: %s"%(filename+".txt",filename+"-backbone.txt"))
	print("I made a gnuplot file for you, to view the datamatrix and the backbone displacement")
	print("filename: %s\n"%(filename+".plt"))

	###Print distance matrix
	line01="# Input 1: %s  and Input 2: %s"%(molecule1,molecule2)
	line02="# Find for: %s  with min. residue-residue dist: %s Angstrom"%(atom,mindist)
	line03="# Looking for min. displacement dist: %s Angstrom"%(mindelta)
	line04="# I give nr# suggestions: %s, and do I show sticks in pymol?: %s"%(listlength,showsticks)
	line05="# I look for suggestions in the range: ([0]=>means all residues)"
	line06="# for Input 1: %s and for Input 2: %s"%(resi1, resi2)
	line07="# Mutation info is BLOSUM62 log-odds likelihood score and PAM250 is probability in % for evolutionary distance"
	line08="###########################################################################################################"
	line09="# Max Negative and positive distances                                       #       Mutation info         #"
	line10="# Obj.1   Obj.2   Delta   Op-Op Cl-Cl # Obj.1   Obj.2   Delta   Op-Op Cl-Cl # Res.1  Res.2 # Res.1  Res.2 #"
	line11="# Res.1   Res.2   -Dist   Dist  Dist  # Res.1   Res.2   +Dist   Dist  Dist  # B62/PAM250%  # B62/PAM250%  #"
	outfile.write(line01+'\n')
	outfile.write(line02+'\n')
	outfile.write(line03+'\n')
	outfile.write(line04+'\n')
	outfile.write(line05+'\n')
	outfile.write(line06+'\n')
	outfile.write(line07+'\n')
	outfile.write(line08+'\n')
	outfile.write(line09+'\n')
	outfile.write(line08+'\n')
	outfile.write(line10+'\n')
	outfile.write(line11+'\n')
	outfile.write(line08+'\n')
	print(line01)
	print(line02)
	print(line03)
	print(line04)
	print(line05)
	print(line06)
	print(line07)
	print(line08)
	print(line09)
	print(line08)
	print(line10)
	print(line11)
	print(line08)
	for i in range(len(MaxNegDist)):
		text="# %3s%3s  %3s%3s  %5s  %5s  %5s # %3s%3s  %3s%3s  %5s  %5s  %5s # %2s/%2s %2s/%2s  # %2s/%2s %2s/%2s  #"%(MaxNegDist[i][5],MaxNegDist[i][1],MaxNegDist[i][6],MaxNegDist[i][2],round(MaxNegDist[i][0],1),round(MaxNegDist[i][3],1),round(MaxNegDist[i][4],1),MaxPosDist[i][5],MaxPosDist[i][1],MaxPosDist[i][6],MaxPosDist[i][2],round(MaxPosDist[i][0],1),round(MaxPosDist[i][3],1),round(MaxPosDist[i][4],1),cysb62(shortaa(str(MaxNegDist[i][5]))),pam250(shortaa(str(MaxNegDist[i][5]))),cysb62(shortaa(str(MaxNegDist[i][6]))),pam250(shortaa(str(MaxNegDist[i][6]))),cysb62(shortaa(str(MaxPosDist[i][5]))),pam250(shortaa(str(MaxPosDist[i][5]))),cysb62(shortaa(str(MaxPosDist[i][6]))),pam250(shortaa(str(MaxPosDist[i][6]))))
		outfile.write(text+'\n')
		print(text)
	for i in range(len(CalcMatrix)):
		writing = ""
		for j in range(len(CalcMatrix)):
			if str(CalcMatrix[i][j]) == "0.0":
				writing = writing + " " + "?"
			else:
				writing = writing + " " + str(CalcMatrix[i][j])
		### Add break line
		writing = writing + " " + "\n"
		outfile.write(writing)
	outfile.close()

	for i in range(len(BackboneDisp)):
		line="%3s  %4s  %3s  %3s"%(BackboneDisp[i][0],round(BackboneDisp[i][1],1),BackboneDisp[i][2],BackboneDisp[i][3])
		backboneoutfile.write(line+'\n')
	backboneoutfile.close()

	###Make gnuplot plot file
	gnuoutfile.write("reset" + "\n")
	gnuoutfile.write("cd " + "'" + os.getcwd() + "'" + "\n")
	gnuoutfile.write("\n")
	gnuoutfile.write("#Title hacks \\n is newline, and 0,1 is x,y offset adjustment" + "\n")
	gnuoutfile.write('set title "Protein ' + str(atom) + ' Displacement matrix map \\n ResRes min. ' + str(mindist) + ' Ang, ' + 'Delta min. ' + str(mindelta) + ' Ang" 0,1' + "\n")
	gnuoutfile.write("# x is column" + "\n")
	gnuoutfile.write("set xlabel 'Res nr. for " + str(molecule2) +"'"+ "\n")
	gnuoutfile.write("# y is row" + "\n")
	gnuoutfile.write("set ylabel 'Res nr. for " + str(molecule1) +"'"+ "\n")
	gnuoutfile.write("\n")
	gnuoutfile.write("#set xrange [300:550]; set yrange [0:400]" + "\n")
	gnuoutfile.write("#set xtics 50" + "\n")
	gnuoutfile.write("#set ytics 50" + "\n")
	gnuoutfile.write("#set mxtics 5" + "\n")
	gnuoutfile.write("#set mytics 5" + "\n")
	gnuoutfile.write("set size ratio 1" + "\n")
	gnuoutfile.write("unset key" + "\n")
	gnuoutfile.write("\n")
	gnuoutfile.write("set cbrange [-30:30]" + "\n")
	gnuoutfile.write("set palette defined (-30 'blue', 0 'white', 30 'red')" + "\n")
	gnuoutfile.write("set pm3d map" + "\n")
	gnuoutfile.write("\n")
	gnuoutfile.write("#set term postscript eps enhanced color" + "\n")
	gnuoutfile.write('#set output "'+ filename + '.eps"' + "\n")
	gnuoutfile.write("set term png" + "\n")
	gnuoutfile.write('set output "'+ filename + '.png"' + "\n")
	gnuoutfile.write("splot '" + str(filename+".txt") + "' matrix" + "\n")
	gnuoutfile.write("\n")
	gnuoutfile.write("#For the backbone displacement"+"\n")
	gnuoutfile.write("\n")
	gnuoutfile.write('set title "Protein ' + str(atom) + ' Backbone displacement" 0,1' + "\n")
	gnuoutfile.write("set xlabel 'Residue number'" + "\n")
	gnuoutfile.write("set ylabel '" +str(atom) + " displacement (Ang)'" + "\n")
	gnuoutfile.write("\n")
	gnuoutfile.write("#set xrange [0:550]; set yrange [0:40]" + "\n")
	gnuoutfile.write("#set xtics 50" + "\n")
	gnuoutfile.write("#set ytics 10" + "\n")
	gnuoutfile.write("#set mxtics 5" + "\n")
	gnuoutfile.write("#set mytics 5" + "\n")
	gnuoutfile.write("set size ratio 0.75" + "\n")
	gnuoutfile.write("unset key" + "\n")
	gnuoutfile.write("\n")
	gnuoutfile.write("#set term postscript eps enhanced color" + "\n")
	gnuoutfile.write('#set output "'+ filename + '-backbone.eps"' + "\n")
	gnuoutfile.write("set term png" + "\n")
	gnuoutfile.write('set output "'+ filename + '-backbone.png"' + "\n")
	gnuoutfile.write("plot '" + str(filename+"-backbone.txt") + "' using 1:2 title 'Backbone displacement' with lines" + "\n")
	gnuoutfile.close()

	###Create stick residue objects
	for i in range(len(MaxNegDist)):
		name = str(i) + "_" + str(round(MaxNegDist[i][0],1))+"_"+shortaa(str(MaxNegDist[i][5]))+str(MaxNegDist[i][1])+shortaa(str(MaxNegDist[i][6]))+str(MaxNegDist[i][2])
		selection = str(molecule1)+" and resi "+str(MaxNegDist[i][1]) + "+"+str(MaxNegDist[i][2])+" or "+str(molecule2)+" and resi "+str(MaxNegDist[i][2])
		#print selection
		cmd.create(name, selection)
		if showsticks=='yes' or showsticks=='y':
			cmd.show("sticks", name)
	for i in range(len(MaxPosDist)):
		name = str(i) + "_" + str(round(MaxPosDist[i][0],1))+"_"+shortaa(str(MaxPosDist[i][5]))+str(MaxPosDist[i][1])+shortaa(str(MaxPosDist[i][6]))+str(MaxPosDist[i][2])
		selection = str(molecule1)+" and resi " + str(MaxPosDist[i][1])+"+" + str(MaxPosDist[i][2])+" or " + str(molecule2)+" and resi "+str(MaxPosDist[i][2])
		#print selection
		cmd.create(name, selection)
		if showsticks=='yes' or showsticks=='y':
			cmd.show("sticks", name)
cmd.extend("dispmap",dispmap)

def create_nXn_matrix(n):
	return [[0.0 for x in range(n)] for x in range(n)]

def distance(array1, array2, i, j):
	i = int(i); j = int(j)
	dist = sqrt((array1[i][0] - array2[j][0])**2 + (array1[i][1] - array2[j][1])**2 + (array1[i][2] - array2[j][2])**2)
	return dist

def Coord(Input):
	print cmd.get_atom_coords(Input)
cmd.extend("Coord",Coord)

def replace_words(text, word_dic):
	rc = re.compile('|'.join(map(re.escape, word_dic)))
	def translate(match):
		return word_dic[match.group(0)]
	return rc.sub(translate, text)

def shortaa(longaa):
	aa_dic = {'ARG':'R','HIS':'H','LYS':'K',
	'ASP':'D','GLU':'E',
	'SER':'S','THR':'T','ASN':'N','GLN':'Q',
	'CYS':'C','SEC':'U','GLY':'G','PRO':'P',
	'ALA':'A','ILE':'I','LEU':'L','MET':'M','PHE':'F','TRP':'W','TYR':'Y','VAL':'V'}
	return(replace_words(longaa, aa_dic))

def cysb62(aa):
	#BLOSUM62 cys mutation
	# C  S  T  P A  G  N  D  E  Q  H  R  K  M  I  L  V  F  Y  W
	#C9 -1 -1 -3 0 -3 -3 -3 -4 -3 -3 -3 -3 -1 -1 -1 -1 -2 -2 -2
	b62_dic = {'R':'-3','H':'-3','K':'-1',
	'D':'-3','E':'-4',
	'S':'-1','T':'-1','N':'-3','Q':'-3',
	'C':'9','U':'9','G':'-3','P':'-3',
	'A':'0','I':'-1','L':'-1','M':'-1','F':'-2','W':'-2','Y':'-2','V':'-1'}
	return(replace_words(aa, b62_dic))

def pam250(aa):
	#   A  R  N  D  C  Q  E  G  H  I  L  K  M  F  P  S  T  W  Y  V
	#C  2  1  1  1  52 1  1  2  2  2  1  1  1  1  2  3  2  1  4  2
	# Mutation probability matrix for the evolutionary distance of 250 PAMs.
	# To simplify the appearance, the elements are shown multiplied by 100.
	# In comparing two sequences of average amino acid frequency at this evolutionary distance,
	# there is a 13% probability that a position containing Ala in the first sequence will contain Ala in the second.
	# There is a 3% chance that it will contain Arg, and so forth.
	# (Adapted from Figure 83. Atlas of Protein Sequence and Structure, Suppl 3, 1978, M.O. Dayhoff, ed. National Biomedical Research Foundation, 1979.)
	pam250_dic = {'R':'1','H':'2','K':'1',
	'D':'1','E':'1',
	'S':'3','T':'2','N':'1','Q':'1',
	'C':'52','U':'52','G':'2','P':'2',
	'A':'2','I':'2','L':'1','M':'1','F':'1','W':'1','Y':'4','V':'2'}
	return(replace_words(aa, pam250_dic))

References

For EPR considerations
Conformation of T4 Lysozyme in Solution. Hinge-Bending Motion and the Substrate-Induced Conformational Transition Studied by Site-Directed Spin Labeling
Hassane S. Mchaourab, Kyoung Joon Oh, Celia J. Fang, and Wayne L. Hubbell
Biochemistry 1997, 36, 307-316

Probing Single-Molecule T4 Lysozyme Conformational Dynamics by Intramolecular Fluorescence Energy Transfer
Yu Chen, Dehong Hu, Erich R. Vorpagel, and H. Peter Lu
J. Phys. Chem. B 2003, 107, 7947-7956

For FRET pair selection and considerations
Fluorescent probes and bioconjugation chemistries for single-molecule fluorescence analysis of biomolecules
Achillefs N. Kapanidisa and Shimon Weiss
Journal of chemical physics VOLUME 117, Number 24 22 December 2002

For inspiration to DisplacementMap. Fig: 6, Difference-distance matrix for the difference in CA-CA distances.
Structure of a Hinge-bending Bacteriophage T4 Lysozyme Mutant, Ile3 -> Pro
M. M. Dixon, H. Nicholsont, L. Shewchuk W. A. Baase and B. W. Matthews1
J. Mol. Biol. (1992) 227. 917-933

Retrieved from "http://pymolwiki.org/index.php?title=Displacementmap&oldid=9686"