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Difference between revisions of "Color"
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A script (data2bfactor.py) that loads data into the B-factor (b) or occupancy (q) columns from an external file can be found in Robert Campbell's PyMOL script repository (http://pldserver1.biochem.queensu.ca/~rlc/work/pymol/) | A script (data2bfactor.py) that loads data into the B-factor (b) or occupancy (q) columns from an external file can be found in Robert Campbell's PyMOL script repository (http://pldserver1.biochem.queensu.ca/~rlc/work/pymol/) | ||
+ | |||
+ | ====Reassigning B-Factors and Coloring - from file ==== | ||
+ | <source lang="python"> | ||
+ | reinitialize | ||
+ | prot="1XYZ" | ||
+ | cmd.fetch(prot,async=0) | ||
+ | |||
+ | # Set b value to zero | ||
+ | cmd.alter(prot,b=0.0) | ||
+ | cmd.show_as("cartoon",prot) | ||
+ | |||
+ | python | ||
+ | inFile = open("phi_values.txt", 'r') | ||
+ | val_list = [] | ||
+ | for line in inFile.readlines()[1:]: | ||
+ | split = line.split() | ||
+ | resn = split[0][0] | ||
+ | resi = split[0][1:-1] | ||
+ | phi_ppm2 = float(split[1]) | ||
+ | phi_ppm2_err = float(split[3]) | ||
+ | R2_0 = float(split[4]) | ||
+ | R2_0_err = float(split[6]) | ||
+ | print "Resn=%s Resi=%s, phi_ppm2=%2.2f, phi_ppm2_err=%2.2f, R2_0=%2.2f, R2_0_err=%2.2f"%(resn,resi,phi_ppm2,phi_ppm2_err,R2_0,R2_0_err) | ||
+ | |||
+ | val_list.append(phi_ppm2) | ||
+ | cmd.alter("%s and resi %s and n. CA"%(prot,resi), "b=%s"%phi_ppm2) | ||
+ | |||
+ | python end | ||
+ | minval = min(val_list) | ||
+ | print minval | ||
+ | maxval = max(val_list) | ||
+ | print maxval | ||
+ | cmd.spectrum("b", "blue_white_red", "%s and n. CA"%prot, minimum=minval, maximum=maxval) | ||
+ | cmd.save("%s_newBFactors.pdb"%prot, "%s"%prot) | ||
+ | </source> | ||
=== Expanding to Surface === | === Expanding to Surface === |
Revision as of 14:27, 28 May 2013
color sets the color of an object or an atom selection to a predefined, named color. For an overview of predifined colors, see Color Values. For a script that enumerates all the colors see, List_Colors. If you want to define your own colors, see Set_Color.
USAGE
color color-name
color color-name, object-name
color color-name, (selection)
PYMOL API
cmd.color( string color, string selection )
EXAMPLES
Color all carbons yellow
color yellow, (name C*)
Color by Spectrum Example
Color by spectrum is in the GUI menu but did you realize that the spectrum is not limited to a simple rainbow?
spectrum count, palette, object_name
For available palettes and more details see: spectrum
B-Factors
The command to color a molecule by B-Factors (B Factors) is:
spectrum b, selection=SEL
where SEL is a valid selection, for example, "protA and n. CA", for protein A's alpha carbons.
For more details see: spectrum
Reassigning B-Factors and Coloring
It is commonplace to replace the B-Factor column of a protein with some other biochemical property at that residue, observed from some calculation or experiment. PyMOL can easily reassign the B-Factors and color them, too. The following example will load a protein, set ALL it's B Factors to "0", read in a list of properties for each alpha carbon in the proteins, assign those new values as the B-Factor values and color by the new values. This example is possible because commands PyMOL does not recognize are passed to the Python interpreter --- a very powerful tool.
# load the protein
cmd.load("protA.pdb")
# open the file of new values (just 1 column of numbers, one for each alpha carbon)
inFile = open("newBFactors", 'r')
# create the global, stored array
stored.newB = []
# read the new B factors from file
for line in inFile.readlines(): stored.newB.append( float(line) )
# close the input file
inFile.close()
# clear out the old B Factors
alter protA, b=0.0
# update the B Factors with new properties
alter protA and n. CA, b=stored.newB.pop(0)
# color the protein based on the new B Factors of the alpha carbons
cmd.spectrum("b", "protA and n. CA")
If you want to save the file with the new B Factor values for each alpha carbon,
cmd.save("protA_newBFactors.pdb", "protA")
or similar is all you need.
A script (data2bfactor.py) that loads data into the B-factor (b) or occupancy (q) columns from an external file can be found in Robert Campbell's PyMOL script repository (http://pldserver1.biochem.queensu.ca/~rlc/work/pymol/)
Reassigning B-Factors and Coloring - from file
reinitialize
prot="1XYZ"
cmd.fetch(prot,async=0)
# Set b value to zero
cmd.alter(prot,b=0.0)
cmd.show_as("cartoon",prot)
python
inFile = open("phi_values.txt", 'r')
val_list = []
for line in inFile.readlines()[1:]:
split = line.split()
resn = split[0][0]
resi = split[0][1:-1]
phi_ppm2 = float(split[1])
phi_ppm2_err = float(split[3])
R2_0 = float(split[4])
R2_0_err = float(split[6])
print "Resn=%s Resi=%s, phi_ppm2=%2.2f, phi_ppm2_err=%2.2f, R2_0=%2.2f, R2_0_err=%2.2f"%(resn,resi,phi_ppm2,phi_ppm2_err,R2_0,R2_0_err)
val_list.append(phi_ppm2)
cmd.alter("%s and resi %s and n. CA"%(prot,resi), "b=%s"%phi_ppm2)
python end
minval = min(val_list)
print minval
maxval = max(val_list)
print maxval
cmd.spectrum("b", "blue_white_red", "%s and n. CA"%prot, minimum=minval, maximum=maxval)
cmd.save("%s_newBFactors.pdb"%prot, "%s"%prot)
Expanding to Surface
See Expand_To_Surface.
If you have run the above code and would like the colors to be shown in the Surface representation, too, then you need to do the following:
# Assumes alpha carbons colored from above.
create ca_obj, your-object-name and name ca
ramp_new ramp_obj, ca_obj, [0, 10], [-1, -1, 0]
set surface_color, ramp_obj, your-object-name
Thanks to Warren, for this one.
Getting Atom Colors
stored.list = []
iterate all, stored.list.append(color) # use cmd.get_color_tuple(color) to convert color index to RGB values
print stored.list
Or, you can label each atom by it's color code:
label all, color
Color States Individually
fetch 1nmr
set all_states
# the object has 20 states, so we can set separate line colors
# for each state as follows:
for a in range(1,21): cmd.set("line_color","auto","1nmr",a)
Or, we can do it differently,
# start over,
fetch 1nmr
# break apart the object by state
split_states 1nmr
# delete the original
dele 1nmr
# and color by object (carbons only)
util.color_objs("elem c")
# (all atoms)
util.color_objs("all")