Difference between revisions of "ColorByRMSD"

From PyMOLWiki
Jump to: navigation, search
(Code updated to ver. 0.0.3)
m (Examples)
Line 24: Line 24:
 
--- ColorByRMSD: RMSD based coloring ---  
 
--- ColorByRMSD: RMSD based coloring ---  
 
Authors : Shivender Shandilya; Jason Vertrees
 
Authors : Shivender Shandilya; Jason Vertrees
Program : ColorByRMS
+
Program : ColorByRMSD
 
Date    : July 2009
 
Date    : July 2009
 
Version : 0.0.3 (very alpha!)
 
Version : 0.0.3 (very alpha!)

Revision as of 15:39, 16 July 2009

Introduction

An attempt to perform a coloring of two structures by RMS deviation as calculated by PyMol's internal Rms_Cur command.

Code

This is new code, modified from the work done by Jason and myself.
If you use the option doPretty=T, the residues NOT used for alignment/superposition are now colored white.
Please test and see if it works (somewhat) better. --shiven 19:38, 16 July 2009 (UTC)

Examples

# example #1
colorByRMSD 1cbs, 1hmt, doAlign=True, doPretty=T
# example #2
colorByRMSD 1eaz, 1fao, doAlign=True, doPretty=T
"""
--- ColorByRMSD: RMSD based coloring --- 
Authors : Shivender Shandilya; Jason Vertrees
Program : ColorByRMSD
Date    : July 2009
Version : 0.0.3 (very alpha!)
Mail    : firstname.lastname@umassmed.edu
 
Keywords: color rms rmsd colorbyrms colorbyrmsd
----------------------------------------------------------------------
Reference:
 This email from Warren - http://www.mail-archive.com/pymol-users@lists.sourceforge.net/msg07078.html
Literature:
 DeLano, W.L. The PyMOL Molecular Graphics System (2002) DeLano Scientific, San Carlos, CA, USA. http://www.pymol.org
----------------------------------------------------------------------
"""
 
import pymol
import cmd
from pymol import stored
 
def strTrue(p):
    return p[0].upper() == "T"
 
# The main function that assigns "cur_rms" as the new b-factor
def rmsUpdateB(objA, alnAri, objB, alnBri):
    # don't need the *10 -- PyMOL scales things for us.
    for x in range(len(alnAri)):
        s1 = objA + " and n. CA and i. " + alnAri[x]
        s2 = objB + " and n. CA and i. " + alnBri[x]
        rmsd = cmd.rms_cur(s1, s2, matchmaker=4)
        cmd.alter( s1, "b = " + str(rmsd))
        cmd.alter( s2, "b = " + str(rmsd))
    cmd.sort(objA); cmd.sort(objB)

 
def colorByRMSD(objSel1, objSel2, doAlign="True", doPretty=None):
    """
    colorByRMSD -- align two structures and show the structural deviations in
        color to more easily see variable regions.
 
    PARAMS
 
        objSel1 (valid PyMOL object or selection)
            The first object to align.  
 
        objSel2 (valid PyMOL object or selection)
            The second object to align
 
        doAlign (boolean, either True or False)
            Should this script align your proteins or just leave them where they
            are?  If doAlign=True then your original proteins are aligned.  If
            doAlign=False, then they are not.  Regardless, the b-factors are
            changed.
            DEFAULT: True
 
        doPretty (boolean, either True or False)
            If doPretty=True then a simple representation is created to high-
            light the differences.  If False, then no change is done to the
            structure.
            DEFAULT: None
 
    RETURNS
        None.
 
    SIDE-EFFECTS
        Modified the b-factor columns in your original proteins.
 
    """
    # create backup copies; names starting with _ (underscores) are
    # hidden by PyMOL
    tObj1, tObj2, aln = "__tempObj1", "__tempObj2", "__aln"
 
    if strTrue(doAlign):
        # perform the alignment
        cmd.create( tObj1, objSel1 )
        cmd.create( tObj2, objSel2 )
#       cmd.align( tObj1, tObj2, object=aln )
        cmd.super( tObj1, tObj2, object=aln )
        # bug -- every other call undoes this...
        cmd.matrix_copy(tObj1, objSel1)
    else:
        # perform the alignment
        cmd.create( tObj1, objSel1 )
        cmd.create( tObj2, objSel2 )
#       cmd.align( tObj1, tObj2, object=aln )
        cmd.super( tObj1, tObj2, object=aln )

#   cmd.alter( tObj1 + " or " + tObj2, "b=-10")
#   Now modify the B-factor columns of the original objects,
#   so as to later identify the residues NOT used for alignment
    cmd.alter( objSel1 + " or " + objSel2, "b=-10")
    cmd.alter( tObj1 + " or " + tObj2, "chain='A'")
    cmd.alter( tObj1 + " or " + tObj2, "segi='A'")
    # update PyMOL;
    # one of these should do the trick
    cmd.refresh(); cmd.rebuild(); cmd.sort(tObj1); cmd.sort(tObj2)
 
    #  Get the residue identifiers from the aln object
    stored.alnAres, stored.alnBres = [], []
    cmd.iterate(tObj1 + " and n. CA and " + aln, "stored.alnAres.append(resi)")
    cmd.iterate(tObj2 + " and n. CA and " + aln, "stored.alnBres.append(resi)")
 
    print "Length of alnAres using 'super': "+str(len(stored.alnAres))
    print "Length of alnBres using 'super': "+str(len(stored.alnBres))

    # reset the b-factors for each object
    rmsUpdateB(tObj1,stored.alnAres,tObj2,stored.alnBres)

    # Store the NEW b-factors
    stored.alnAnb, stored.alnBnb = [], []
    cmd.iterate(tObj1 + " and n. CA and " + aln, "stored.alnAnb.append(b)" )
    cmd.iterate(tObj2 + " and n. CA and " + aln, "stored.alnBnb.append(b)" )
 
    # Get rid of all intermediate objects etc.; clean up
    cmd.delete(tObj1)
    cmd.delete(tObj2)
    cmd.delete(aln)
 
    # Assign the just stored NEW b-factors to the original object
    for x in range(len(stored.alnAres)):
        cmd.alter(objSel1 + " and n. CA and i. " + str(stored.alnAres[x]), "b = " + str(stored.alnAnb[x]))
    for x in range(len(stored.alnBres)):
        cmd.alter(objSel2 + " and n. CA and i. " + str(stored.alnBres[x]), "b = " + str(stored.alnBnb[x]))
    cmd.rebuild(); cmd.refresh(); cmd.sort(objSel1); cmd.sort(objSel2)
 
    if doPretty!=None:
        # Showcase what we did
        cmd.orient()
        cmd.hide("all")
        cmd.show_as("cartoon", objSel1 + " or " + objSel2)
        # Select the residues not used for alignment; they still have their B-factors as "-10"
        cmd.select("notUsedForAln", "b < 0")
        cmd.disable("notUsedForAln")
	# White-wash the residues not used for alignment
	cmd.color("white", "notUsedForAln")
	# Color the residues used for alignment according to their B-factors (RMSD values)
        cmd.spectrum("b", 'rainbow',  "((" + objSel1 + " and n. CA) or (n. CA and " + objSel2 +" )) and not notUsedForAln")

cmd.extend("colorByRMSD", colorByRMSD)