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consensus_module.py
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204 lines (152 loc) · 7.39 KB
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from pyrosetta import *
from Bio import AlignIO
from statistics import mode
import argparse
from rosetta.core.pack.task import TaskFactory
from rosetta.core.pack.task import operation
pyrosetta.init()
scorefxn = pyrosetta.create_score_function("ref2015_cart.wts")
def pack_relax(pose, scorefxn):
tf = TaskFactory()
tf.push_back(operation.InitializeFromCommandline())
tf.push_back(operation.RestrictToRepacking())
# Set up a MoveMapFactory
mmf = pyrosetta.rosetta.core.select.movemap.MoveMapFactory()
mmf.all_bb(setting=True)
mmf.all_bondangles(setting=True)
mmf.all_bondlengths(setting=True)
mmf.all_chi(setting=True)
mmf.all_jumps(setting=True)
mmf.set_cartesian(setting=True)
## Print informations about structure before apply fast relax
# display_pose = pyrosetta.rosetta.protocols.fold_from_loops.movers.DisplayPoseLabelsMover()
# display_pose.tasks(tf)
# display_pose.movemap_factory(mmf)
# display_pose.apply(pose)
fr = pyrosetta.rosetta.protocols.relax.FastRelax(scorefxn_in=scorefxn, standard_repeats=1)
fr.cartesian(True)
fr.set_task_factory(tf)
fr.set_movemap_factory(mmf)
fr.min_type("lbfgs_armijo_nonmonotone")
fr.apply(pose)
return pose
def mutate_repack(pose, posi, amino):
#Select Mutate Position
mut_posi = pyrosetta.rosetta.core.select.residue_selector.ResidueIndexSelector()
mut_posi.set_index(posi)
#Select Neighbor Position
nbr_selector = pyrosetta.rosetta.core.select.residue_selector.NeighborhoodResidueSelector()
nbr_selector.set_focus_selector(mut_posi)
nbr_selector.set_include_focus_in_subset(True)
# Select No Design Area
not_design = pyrosetta.rosetta.core.select.residue_selector.NotResidueSelector(mut_posi)
# The task factory accepts all the task operations
tf = pyrosetta.rosetta.core.pack.task.TaskFactory()
# These are pretty standard
tf.push_back(pyrosetta.rosetta.core.pack.task.operation.InitializeFromCommandline())
tf.push_back(pyrosetta.rosetta.core.pack.task.operation.IncludeCurrent())
tf.push_back(pyrosetta.rosetta.core.pack.task.operation.NoRepackDisulfides())
# Disable Packing
prevent_repacking_rlt = pyrosetta.rosetta.core.pack.task.operation.PreventRepackingRLT()
prevent_subset_repacking = pyrosetta.rosetta.core.pack.task.operation.OperateOnResidueSubset(prevent_repacking_rlt, nbr_selector, True )
tf.push_back(prevent_subset_repacking)
# Disable design
tf.push_back(pyrosetta.rosetta.core.pack.task.operation.OperateOnResidueSubset(pyrosetta.rosetta.core.pack.task.operation.RestrictToRepackingRLT(),not_design))
# Enable design
aa_to_design = pyrosetta.rosetta.core.pack.task.operation.RestrictAbsentCanonicalAASRLT()
aa_to_design.aas_to_keep(amino)
tf.push_back(pyrosetta.rosetta.core.pack.task.operation.OperateOnResidueSubset(aa_to_design, mut_posi))
# Create Packer
packer = pyrosetta.rosetta.protocols.minimization_packing.PackRotamersMover()
packer.task_factory(tf)
packer.apply(pose)
return pose
def design(pose_in, scorefxn, to_design):
pose = pose_in.clone()
# Select Neighbor Position
mut_posi = pyrosetta.rosetta.core.select.residue_selector.ResidueIndexSelector()
for posi in to_design:
mut_posi.append_index(posi)
#### Print selected residues for mut posi
print(pyrosetta.rosetta.core.select.get_residues_from_subset(mut_posi.apply(pose)))
# Select Neighbor Position
nbr_selector = pyrosetta.rosetta.core.select.residue_selector.NeighborhoodResidueSelector()
nbr_selector.set_focus_selector(mut_posi)
nbr_selector.set_include_focus_in_subset(True)
print(pyrosetta.rosetta.core.select.get_residues_from_subset(nbr_selector.apply(pose)))
# Select No Design Area
not_design = pyrosetta.rosetta.core.select.residue_selector.NotResidueSelector(mut_posi)
#### Print residues to NOT design
#print(pyrosetta.rosetta.core.select.get_residues_from_subset(not_design.apply(pose)))
# The task factory accepts all the task operations
tf = pyrosetta.rosetta.core.pack.task.TaskFactory()
# These are pretty standard
tf.push_back(pyrosetta.rosetta.core.pack.task.operation.InitializeFromCommandline())
tf.push_back(pyrosetta.rosetta.core.pack.task.operation.IncludeCurrent())
tf.push_back(pyrosetta.rosetta.core.pack.task.operation.NoRepackDisulfides())
# Disable Packing
prevent_repacking_rlt = pyrosetta.rosetta.core.pack.task.operation.PreventRepackingRLT()
prevent_subset_repacking = pyrosetta.rosetta.core.pack.task.operation.OperateOnResidueSubset(prevent_repacking_rlt, nbr_selector, True )
tf.push_back(prevent_subset_repacking)
# Disable design
tf.push_back(pyrosetta.rosetta.core.pack.task.operation.OperateOnResidueSubset(
pyrosetta.rosetta.core.pack.task.operation.RestrictToRepackingRLT(),not_design))
# Enable design
aa_to_design = pyrosetta.rosetta.core.pack.task.operation.RestrictAbsentCanonicalAASRLT()
aa_to_design.aas_to_keep("ACDEFHIKLMNQRGPSTVWY")
tf.push_back(pyrosetta.rosetta.core.pack.task.operation.OperateOnResidueSubset(aa_to_design, mut_posi))
# Create Packer
packer = pyrosetta.rosetta.protocols.minimization_packing.PackRotamersMover(scorefxn)
packer.task_factory(tf)
packer.apply(pose)
return pose
def consensus_design(pose, consensus, scorefxn, design_undef):
for position in range(len(consensus)):
if consensus[position] != '-':
print("mutating position"+str(position))
#posi = pose.pdb_info().number(position+1)
posi = position+1
amino = consensus[position]
pose = mutate_repack(pose, posi, amino)
### Relax
if design_undef == 1:
################### Design residues with no significant consensus
to_design = []
### Calculate N gap
n_gap = 0
for position in range(len(consensus)):
if consensus[position] == '-':
n_gap = n_gap+1
#posi = pose.pdb_info().number(position+1)
posi = position+1
#### Print selected residues for mut posi
#print(pyrosetta.rosetta.core.select.get_residues_from_subset(mut_posi.apply(pose)))
to_design.append(posi)
if n_gap != 0:
print('designing')
pose = design(pose, scorefxn, to_design)
### Second relax
pose = pack_relax(pose, scorefxn)
return pose
def get_consensus(alignment, cv_thresh, pose):
### Generate consensus sequence
## simple_mode -> doesn't use thresholds
al = alignment.get_alignment_length()
consensus = []
for pos in range(al):
column = []
if alignment[0][pos] != '-':
for align in alignment:
if align[pos] != '-':
column.append(align[pos])
### verify percentage and thresholds
mode_count = 0
for i in range(len(column)):
if column[i] == mode(column) :
mode_count = mode_count + 1
conservation = mode_count/len(column)
if conservation > cv_thresh:
consensus.append(mode(column))
else:
consensus.append('-')
return consensus