예제 #1
0
def pretty_solv(selection="(all)", _self=cmd):
    cmd = _self
    s = tmp_sele
    cmd.select(s, selection)
    polar_contacts = _get_polar_contacts_name(s, _self)
    _prepare(s, polar_contacts, _self=cmd)
    cmd.dss(s, preserve=1)
    cmd.cartoon("auto", s)
    cmd.show("cartoon", s)
    cmd.show("sticks", "(" + lig_sele + " and (" + s + "))")
    cmd.show("nb_spheres",
             "((" + lig_sele + "|resn hoh+wat+h2o) and (" + s + "))")
    util.cbc("(" + lig_sele + " and (" + s + "))", _self=cmd)
    util.cbac("(" + lig_sele + " and (" + s + ") and not elem c)", _self=cmd)
    cmd.spectrum("count",
                 selection="(elem c and (" + s + ") and not " + lig_sele + ")")
    cmd.set("cartoon_highlight_color", -1, selection)
    cmd.set("cartoon_fancy_helices", 0, selection)
    cmd.set("cartoon_smooth_loops", 0, selection)
    cmd.set("cartoon_flat_sheets", 1, selection)
    cmd.set("cartoon_side_chain_helper", 0, selection)
    if polar_contacts in cmd.get_names():
        cmd.disable(polar_contacts)
    if cmd.count_atoms(s):
        cmd.zoom(s)
예제 #2
0
파일: preset.py 프로젝트: aghozlane/pymol
def b_factor_putty(selection="(name ca or name p)",_self=cmd):
    cmd=_self
    s = tmp_sele
    cmd.select(s,selection)
    _prepare(s,_self=cmd)
    cmd.select(s,"(name ca or name p) and ("+selection+")")
    cmd.show("cartoon",s)
    cmd.set("cartoon_flat_sheets",0,selection)
    cmd.cartoon("putty",s)
    cmd.spectrum("b",selection=s)
예제 #3
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def b_factor_putty(selection="(name ca or name p)", _self=cmd):
    cmd = _self
    s = tmp_sele
    cmd.select(s, selection)
    _prepare(s, _self=cmd)
    cmd.select(s, "(name ca or name p) and (" + selection + ")")
    cmd.show("cartoon", s)
    cmd.set("cartoon_flat_sheets", 0, selection)
    cmd.cartoon("putty", s)
    cmd.spectrum("b", selection=s)
예제 #4
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파일: util.py 프로젝트: Almad/pymol
def chainbow(selection='(all)',first_color=7,_self=cmd):
    pymol=_self._pymol
    cmd=_self # NOT THREAD SAFE
    '''
    Color all chains in rainbow
    '''
    for a in cmd.get_chains(selection):
        if len(a):
            cmd.spectrum('count',selection="(chain %s and (%s))"%(a,selection),byres=1)
        else:
            cmd.spectrum('count',selection="(chain '' and (%s))"%selection,byres=1)
예제 #5
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파일: preset.py 프로젝트: aghozlane/pymol
def pretty_solv(selection="(all)",_self=cmd):
    cmd=_self
    s = tmp_sele
    cmd.select(s,selection)
    polar_contacts = _get_polar_contacts_name(s,_self)
    _prepare(s,polar_contacts,_self=cmd)
    cmd.dss(s,preserve=1)
    cmd.cartoon("auto",s)
    cmd.show("cartoon",s)
    cmd.show("sticks","("+lig_sele+" and ("+s+"))")
    cmd.show("nb_spheres","(("+lig_sele+"|resn hoh+wat+h2o) and ("+s+"))")
    util.cbc("("+lig_sele+" and ("+s+"))",_self=cmd)
    util.cbac("("+lig_sele+" and ("+s+") and not elem c)",_self=cmd)
    cmd.spectrum("count",selection="(elem c and ("+s+") and not "+lig_sele+")")
    cmd.set("cartoon_highlight_color",-1,selection)
    cmd.set("cartoon_fancy_helices",0,selection)
    cmd.set("cartoon_smooth_loops",0,selection)
    cmd.set("cartoon_flat_sheets",1,selection)
    cmd.set("cartoon_side_chain_helper",0,selection)   
    if polar_contacts in cmd.get_names():
        cmd.disable(polar_contacts)
    if cmd.count_atoms(s):
        cmd.zoom(s)
def ColorByDisplacementCA(objSel1, objSel2, super1='all', super2='all', doColor="True", doAlign="True", AlignedWhite='yes'):
    ### First create backup copies; names starting with __ (underscores) are normally hidden by PyMOL
    tObj1, tObj2, aln = "__tempObj1", "__tempObj2", "__aln"
 
    if strTrue(doAlign):
        ### Create temp objects
        cmd.create( tObj1, objSel1 )
        cmd.create( tObj2, objSel2 )
	### Align and make create an object aln which indicates which atoms were paired between the two structures
	### Super is must faster than align http://www.pymolwiki.org/index.php/Super
        cmd.super(tObj1 + ' and ' + str(super1), tObj2 + ' and ' + str(super2), object=aln)
	### Modify the original matrix of object1 from the alignment
        cmd.matrix_copy(tObj1, objSel1)
    else:
        ### Create temp objects
        cmd.create( tObj1, objSel1 )
        cmd.create( tObj2, objSel2 )
	### Align and make create an object aln which indicates which atoms were paired between the two structures
	### Super is must faster than align http://www.pymolwiki.org/index.php/Super
        cmd.super(tObj1 + ' and ' + str(super1), tObj2 + ' and ' + str(super2), object=aln)
 
    ### Modify the B-factor columns of the original objects,
    ### in order to identify the residues NOT used for alignment, later on
    cmd.alter( objSel1 + " or " + objSel2, "b=-0.2")
    cmd.alter( tObj1 + " or " + tObj2, "chain='A'")
    cmd.alter( tObj1 + " or " + tObj2, "segi='A'")
 
    ### Update pymol internal representations; one of these should do the trick
    cmd.refresh(); cmd.rebuild(); cmd.sort(tObj1); cmd.sort(tObj2)
 
    ###  Create lists for storage
    stored.alnAres, stored.alnBres = [], []
 
    ### Iterate over objects
    if AlignedWhite=='yes':
        cmd.iterate(tObj1 + " and n. CA and not " + aln, "stored.alnAres.append(resi)")
	cmd.iterate(tObj2 + " and n. CA and not " + aln, "stored.alnBres.append(resi)")
    else:
	cmd.iterate(tObj1 + " and n. CA", "stored.alnAres.append(resi)")
        cmd.iterate(tObj2 + " and n. CA", "stored.alnBres.append(resi)")
 
    ### Change the B-factors for EACH object
    displacementUpdateB(tObj1,stored.alnAres,tObj2,stored.alnBres)
 
    ### Store the NEW B-factors
    stored.alnAnb, stored.alnBnb = [], []
    ### Iterate over objects and get b
    if AlignedWhite=='yes':
	### Iterate over objects which is not aligned
    	cmd.iterate(tObj1 + " and n. CA and not " + aln, "stored.alnAnb.append(b)" )
	cmd.iterate(tObj2 + " and n. CA and not " + aln, "stored.alnBnb.append(b)" )
    else:
	### Or Iterate over all objects with CA
    	cmd.iterate(tObj1 + " and n. CA", "stored.alnAnb.append(b)" )
    	cmd.iterate(tObj2 + " and n. CA", "stored.alnBnb.append(b)" )
 
    ### Get rid of all intermediate objects and clean up
    cmd.delete(tObj1)
    cmd.delete(tObj2)
    cmd.delete(aln)
 
    ### Assign the just stored NEW B-factors to the original objects
    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)
 
    ### Provide some useful information
    stored.allRMSDval = []
    stored.allRMSDval = stored.alnAnb + stored.alnBnb
    print "\nColorByDisplacementCA completed successfully."
    print "The MAXIMUM Displacement is: "+str(max(stored.allRMSDval)) +" residue "+str(stored.alnAres[int(stored.allRMSDval.index(max(stored.allRMSDval)))])
 
    if strTrue(doColor):
        ### Showcase what we did
        #cmd.orient()
        #cmd.hide("all")
        cmd.show("cartoon", objSel1 + " or " + objSel2)
        ### Select the residues not used for alignment; they still have their B-factors as "-0.2"
        cmd.select("notUsedForAln", "b = -0.2")
        ### White-wash the residues not used for alignment
        cmd.color("white", "notUsedForAln")
        ### Select the residues not in both pdb files; they have their B-factors as "-0. 01"
        cmd.select("ResNotInBothPDB", "b = -0.01")
        ### White-wash the residues not used for alignment
        cmd.color("black", "ResNotInBothPDB")
        ### Color the residues used for alignment according to their B-factors (Displacment values)
#        cmd.spectrum("b", 'rainbow',  "((" + objSel1 + " and n. CA) or (n. CA and " + objSel2 +" )) and not notUsedForAln+ResNotInBothPDB")
        cmd.spectrum("b", 'rainbow',  "((" + objSel1 + " and n. CA) or (n. CA and " + objSel2 +" )) and not (notUsedForAln or ResNotInBothPDB)")
        ### Delete the selection of atoms not used for alignment
        ### If you would like to keep this selection intact,
        ### just comment "cmd.delete" line and
        ### uncomment the "cmd.disable" line abowe.
        cmd.disable("notUsedForAln")
        cmd.delete("notUsedForAln")
        cmd.disable("ResNotInBothPDB")
        cmd.delete("ResNotInBothPDB")
 
        print "\nObjects are now colored by C-alpha displacement deviation."
        print "Blue is minimum and red is maximum..."
        print "White is those residues used in the alignment algorithm. Can be turned off in top of algorithm."
	print "Black is residues that does not exist in both files..."
예제 #7
0
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 as is?
            If doAlign=True then your original proteins are aligned.
            If 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
            highlight the differences.  If False, then no changes are made.
            DEFAULT: False
 
    RETURNS
        None.
 
    SIDE-EFFECTS
        Modifies the B-factor columns in your original structures.
 
    """
    # First create backup copies; names starting with __ (underscores) are
    # normally hidden by PyMOL
    tObj1, tObj2, aln = "__tempObj1", "__tempObj2", "__aln"
 
    if strTrue(doAlign):
        # perform the alignment
        cmd.create( tObj1, objSel1 )
        cmd.create( tObj2, objSel2 )
        cmd.super( tObj1, tObj2, object=aln )
        cmd.matrix_copy(tObj1, objSel1)
    else:
        # perform the alignment
        cmd.create( tObj1, objSel1 )
        cmd.create( tObj2, objSel2 )
        cmd.super( tObj1, tObj2, object=aln )
 
    # Modify the B-factor columns of the original objects,
    # in order to identify the residues NOT used for alignment, later on
    cmd.alter( objSel1 + " or " + objSel2, "b=-10")
    cmd.alter( tObj1 + " or " + tObj2, "chain='A'")
    cmd.alter( tObj1 + " or " + tObj2, "segi='A'")
 
    # Update pymol internal representations; one of these should do the trick
    cmd.refresh(); cmd.rebuild(); cmd.sort(tObj1); cmd.sort(tObj2)
 
    #  Create lists for storage
    stored.alnAres, stored.alnBres = [], []
 
    #  Get the residue identifiers from the alignment object "aln"
    cmd.iterate(tObj1 + " and n. CA and " + aln, "stored.alnAres.append(resi)")
    cmd.iterate(tObj2 + " and n. CA and " + aln, "stored.alnBres.append(resi)")
 
    # Change 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 and clean up
    cmd.delete(tObj1)
    cmd.delete(tObj2)
    cmd.delete(aln)
 
    # Assign the just stored NEW B-factors to the original objects
    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)
 
    # Provide some useful information
    stored.allRMSDval = []
    stored.allRMSDval = stored.alnAnb + stored.alnBnb
    print "\nColorByRMSD completed successfully."
    print "The MINIMUM RMSD value is: "+str(min(stored.allRMSDval))
    print "The MAXIMUM RMSD value is: "+str(max(stored.allRMSDval))
 
    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")
        # 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")
        # Delete the selection of atoms not used for alignment
        # If you would like to keep this selection intact,
        # just comment "cmd.delete" line and
        # uncomment the "cmd.disable" line below.
        cmd.delete("notUsedForAln")
        # cmd.disable("notUsedForAln") 
 
        print "\nObjects are now colored by C-alpha RMS deviation."
        print "All residues with RMSD values greater than the maximum are colored white..."
예제 #8
0
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 as is?
            If doAlign=True then your original proteins are aligned.
            If 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
            highlight the differences.  If False, then no changes are made.
            DEFAULT: False
 
    RETURNS
        None.
 
    SIDE-EFFECTS
        Modifies the B-factor columns in your original structures.
 
    """
    # First create backup copies; names starting with __ (underscores) are
    # normally hidden by PyMOL
    tObj1, tObj2, aln = "__tempObj1", "__tempObj2", "__aln"
 
    if strTrue(doAlign):
        # perform the alignment
        cmd.create( tObj1, objSel1 )
        cmd.create( tObj2, objSel2 )
        cmd.super( tObj1, tObj2, object=aln )
        cmd.matrix_copy(tObj1, objSel1)
    else:
        # perform the alignment
        cmd.create( tObj1, objSel1 )
        cmd.create( tObj2, objSel2 )
        cmd.super( tObj1, tObj2, object=aln )
 
    # Modify the B-factor columns of the original objects,
    # in order to identify the residues NOT used for alignment, later on
    cmd.alter( objSel1 + " or " + objSel2, "b=-10")
    cmd.alter( tObj1 + " or " + tObj2, "chain='A'")
    cmd.alter( tObj1 + " or " + tObj2, "segi='A'")
 
    # Update pymol internal representations; one of these should do the trick
    cmd.refresh(); cmd.rebuild(); cmd.sort(tObj1); cmd.sort(tObj2)
 
    #  Create lists for storage
    stored.alnAres, stored.alnBres = [], []
 
    #  Get the residue identifiers from the alignment object "aln"
    cmd.iterate(tObj1 + " and n. CA and " + aln, "stored.alnAres.append(resi)")
    cmd.iterate(tObj2 + " and n. CA and " + aln, "stored.alnBres.append(resi)")
 
    # Change 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 and clean up
    cmd.delete(tObj1)
    cmd.delete(tObj2)
    cmd.delete(aln)
 
    # Assign the just stored NEW B-factors to the original objects
    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)
 
    # Provide some useful information
    stored.allRMSDval = []
    stored.allRMSDval = stored.alnAnb + stored.alnBnb
    print "\nColorByRMSD completed successfully."
    print "The MINIMUM RMSD value is: "+str(min(stored.allRMSDval))
    print "The MAXIMUM RMSD value is: "+str(max(stored.allRMSDval))
 
    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")
        # 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")
        # Delete the selection of atoms not used for alignment
        # If you would like to keep this selection intact,
        # just comment "cmd.delete" line and
        # uncomment the "cmd.disable" line below.
        cmd.delete("notUsedForAln")
        # cmd.disable("notUsedForAln") 
 
        print "\nObjects are now colored by C-alpha RMS deviation."
        print "All residues with RMSD values greater than the maximum are colored white..."