tmtools.py

Go to the documentation of this file.

#------------------------------------------------------------------------------
# This file is part of the OpenStructure project <www.openstructure.org>
#
# Copyright (C) 2008-2009 by the OpenStructure authors
#
# This library is free software; you can redistribute it and/or modify it under
# the terms of the GNU Lesser General Public License as published by the Free
# Software Foundation; either version 3.0 of the License, or (at your option)
# any later version.
# This library is distributed in the hope that it will be useful, but WITHOUT
# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
# FOR A PARTICULAR PURPOSE.  See the GNU Lesser General Public License for more
# details.
#
# You should have received a copy of the GNU Lesser General Public License
# along with this library; if not, write to the Free Software Foundation, Inc.,
# 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301  USA
#------------------------------------------------------------------------------
"""
Wrappers for the tmalign and tmscore utilities.

References:

tmscore: Yang Zhang and Jeffrey Skolnick, Proteins 2004 57: 702-710 
tmalign: Y. Zhang and J. Skolnick, Nucl. Acids Res. 2005 33, 2302-9 


Authors: Pascal Benkert, Marco Biasini
"""

import subprocess, os, tempfile, platform
from ost import settings, io, geom, seq

def _SetupFiles(models):
  # create temporary directory
  tmp_dir_name=tempfile.mkdtemp()
  dia = 'PDB'
  for index, model in enumerate(models):
    for chain in model.chains:
      if len(chain.name) > 1:
        dia = 'CHARMM'
        break;
      for res in chain.residues:
        if len(res.name) > 3:
          dia = 'CHARMM'
          break;
    io.SavePDB(model, os.path.join(tmp_dir_name, 'model%02d.pdb' % (index+1)), dialect=dia)
  return tmp_dir_name

def _CleanupFiles(dir_name):
  import shutil
  shutil.rmtree(dir_name)

class TMAlignResult:
  """
  Holds the result of running TMalign
  
  .. attribute:: rmsd
    
    The RMSD of the common Calpha atoms of both structures
  
  .. attribute:: transform
  
    The transform that superposes the model onto the reference structure.
    
    :type: :class:`~ost.geom.Mat4`
  
  .. attribute:: alignment
  
    The alignment of the structures, that is the pairing of Calphas of both 
    structures. Since the programs only read ATOM records, residues consisting 
    of HETATMs (MSE) are not included in the alignment.
    
    :type: :class:`~ost.seq.AlignmentHandle`

  .. attribute:: tm_score

    The TM-score of the structural superposition

  """
  def __init__(self, rmsd, tm_score, aligned_length, transform, 
               ref_sequence, alignment):
    
    self.rmsd=rmsd
    self.tm_score=tm_score    
    self.aligned_length=aligned_length
    self.transform=transform
    self.ref_sequence =ref_sequence
    self.alignment=alignment

def _ParseTmAlign(lines,lines_matrix):
  info_line=lines[12].split(',')
  aln_length=float(info_line[0].split('=')[1].strip())
  rmsd=float(info_line[1].split('=')[1].strip())  
  tm_score=float(lines[14].split('=')[1].split('(')[0].strip())
  tf1=[float(i.strip()) for i in lines_matrix[2].split()]
  tf2=[float(i.strip()) for i in lines_matrix[3].split()]
  tf3=[float(i.strip()) for i in lines_matrix[4].split()]
  rot=geom.Mat3(tf1[2], tf1[3], tf1[4], tf2[2], tf2[3],
                tf2[4], tf3[2], tf3[3], tf3[4])
  tf=geom.Mat4(rot)
  tf.PasteTranslation(geom.Vec3(tf1[1], tf2[1], tf3[1]))
  seq1 = seq.CreateSequence("1",lines[18].strip())
  seq2 = seq.CreateSequence("2",lines[20].strip())
  alignment = seq.CreateAlignment()
  alignment.AddSequence(seq2)
  alignment.AddSequence(seq1)
  return TMAlignResult(rmsd, tm_score, aln_length, tf, seq2, alignment)

def _RunTmAlign(tmalign, tmp_dir):
  model1_filename=os.path.join(tmp_dir, 'model01.pdb')
  model2_filename=os.path.join(tmp_dir, 'model02.pdb')
  if platform.system() == "Windows":
    tmalign_path=settings.Locate('tmalign.exe', explicit_file_name=tmalign)
    command="\"%s\" %s %s -m %s" %(os.path.normpath(tmalign_path), model1_filename, model2_filename, os.path.join(tmp_dir,'matrix.txt'))
  else:
    tmalign_path=settings.Locate('tmalign', explicit_file_name=tmalign)  
    command="\"%s\" \"%s\" \"%s\" -m \"%s\"" %(tmalign_path, model1_filename, model2_filename, os.path.join(tmp_dir,'matrix.txt'))
  ps=subprocess.Popen(command, shell=True, stdout=subprocess.PIPE)
  ps.wait()
  lines=ps.stdout.readlines()
  if (len(lines))<22:
    _CleanupFiles(tmp_dir)
    raise RuntimeError("tmalign superposition failed")
  matrix_file=open(os.path.join(tmp_dir,'matrix.txt'))
  lines_matrix=matrix_file.readlines()
  matrix_file.close() 
  return _ParseTmAlign(lines,lines_matrix)

class MMAlignResult:
  def __init__(self, rmsd, aligned_length, tm_score, transform, alignment):
    self.rmsd=rmsd
    self.tm_score=tm_score    
    self.aligned_length=aligned_length
    self.transform=transform
    self.alignment=alignment

def _ParseMmAlign(lines):
  info_line=lines[10].split(',')
  aln_length=float(info_line[0].split('=')[1].strip())
  rmsd=float(info_line[1].split('=')[1].strip())  
  tm_score=float(info_line[2].split('=')[1].strip())
  tf1=[float(i.strip()) for i in lines[14].split()]
  tf2=[float(i.strip()) for i in lines[15].split()]
  tf3=[float(i.strip()) for i in lines[16].split()]
  rot=geom.Mat3(tf1[2], tf1[3], tf1[4], tf2[2], tf2[3],
                tf2[4], tf3[2], tf3[3], tf3[4])
  tf=geom.Mat4(rot)
  tf.PasteTranslation(geom.Vec3(tf1[1], tf2[1], tf3[1]))
  seq1 = seq.CreateSequence("1",lines[19].strip())
  seq2 = seq.CreateSequence("2",lines[21].strip())
  alignment = seq.CreateAlignment()
  alignment.AddSequence(seq2)
  alignment.AddSequence(seq1)
  return MMAlignResult(rmsd, aln_length, tm_score, tf, alignment)

def _RunMmAlign(mmalign, tmp_dir):
  model1_filename=os.path.join(tmp_dir, 'model01.pdb')
  model2_filename=os.path.join(tmp_dir, 'model02.pdb')
  if platform.system() == "Windows":
    mmalign_path=settings.Locate('mmalign.exe', explicit_file_name=mmalign)
    command="\"%s\" %s %s" %(os.path.normpath(mmalign_path), model1_filename, model2_filename)
  else:
    mmalign_path=settings.Locate('MMalign', explicit_file_name=mmalign)  
    command="\"%s\" \"%s\" \"%s\"" %(mmalign_path, model1_filename, model2_filename)
  ps=subprocess.Popen(command, shell=True, stdout=subprocess.PIPE)
  ps.wait()
  lines=ps.stdout.readlines()
  if (len(lines))<22:
    _CleanupFiles(tmp_dir)
    raise RuntimeError("mmalign superposition failed")
  return _ParseMmAlign(lines)

class TMScoreResult:
  """
  Holds the result of running TMscore
  
  .. attribute:: rmsd_common
    
    The RMSD of the common Calpha atoms of both structures

    .. attribute:: rmsd_below_five

      The RMSD of all Calpha atoms that can be superposed below five Angstroem
    
  .. attribute:: tm_score
  
    The TM-score of the structural superposition
  
  .. attribute:: transform
  
    The transform that superposes the model onto the reference structure.
    
    :type: :class:`~ost.geom.Mat4`
  
  .. attribute:: gdt_ha
  
    The GDT_HA of the model to the reference structure.

  .. attribute:: gdt_ts

    The GDT_TS of the model to the reference structure.

  """
  def __init__(self, rmsd_common, tm_score, max_sub, 
               gdt_ts, gdt_ha, rmsd_below_five, transform):
    self.rmsd_common=rmsd_common
    self.tm_score=tm_score    
    self.max_sub=max_sub
    self.gdt_ts=gdt_ts
    self.gdt_ha=gdt_ha
    self.rmsd_below_five=rmsd_below_five
    self.transform=transform
    
def _ParseTmScore(lines):
  tf1=[float(i.strip()) for i in lines[23].split()]
  tf2=[float(i.strip()) for i in lines[24].split()]
  tf3=[float(i.strip()) for i in lines[25].split()]
  rot=geom.Mat3(tf1[2], tf1[3], tf1[4], tf2[2], tf2[3],
                  tf2[4], tf3[2], tf3[3], tf3[4])
  tf=geom.Mat4(rot)
  tf.PasteTranslation(geom.Vec3(tf1[1], tf2[1], tf3[1]))
  result=TMScoreResult(float(lines[14].split()[-1].strip()),
                       float(lines[16].split()[2].strip()),
                       float(lines[17].split()[1].strip()),
                       float(lines[18].split()[1].strip()),
                       float(lines[19].split()[1].strip()),
                       float(lines[27].split()[-1].strip()),
                       tf)
  return result

def _RunTmScore(tmscore, tmp_dir):
  model1_filename=os.path.join(tmp_dir, 'model01.pdb')
  model2_filename=os.path.join(tmp_dir, 'model02.pdb')  
  if platform.system() == "Windows":
    tmscore_path=settings.Locate('tmscore.exe', explicit_file_name=tmscore)
    command="\"%s\" %s %s" %(os.path.normpath(tmscore_path), model1_filename, 
                             model2_filename)
  else:
    tmscore_path=settings.Locate('tmscore', explicit_file_name=tmscore)
    command="\"%s\" \"%s\" \"%s\"" % (tmscore_path, model1_filename, 
                                      model2_filename)
  ps=subprocess.Popen(command, shell=True, stdout=subprocess.PIPE)
  ps.wait()
  lines=ps.stdout.readlines()
  if (len(lines))<22:
    _CleanupFiles(tmp_dir)
    raise RuntimeError("tmscore superposition failed")
  return _ParseTmScore(lines)


def TMAlign(model1, model2, tmalign=None):
  """
  Performs a sequence independent superposition of model1 onto model2, the 
  reference.
  

  :param model1: The model structure. If the superposition is successful, will 
                 be superposed onto the reference structure
  :type model1: :class:`~ost.mol.EntityView` or :class:`~ost.mol.EntityHandle`
  :param model2: The reference structure
  :type model2: :class:`~ost.mol.EntityView` or :class:`~ost.mol.EntityHandle`
  :param tmalign: If not None, the path to the tmalign executable.
  :returns: The result of the tmscore superposition
  :rtype: :class:`TMAlignResult`
  
  :raises: :class:`~ost.settings.FileNotFound` if tmalign could not be located.
  :raises: :class:`RuntimeError` if the superposition failed
  """
  tmp_dir_name=_SetupFiles((model1, model2))
  result=_RunTmAlign(tmalign, tmp_dir_name)
  model1.handle.EditXCS().ApplyTransform(result.transform)
  _CleanupFiles(tmp_dir_name)
  return result

def MMAlign(model1, model2, mmalign=None):
  """
  Run tmalign on two protein structures
  """
  tmp_dir_name=_SetupFiles((model1, model2))
  result=_RunMmAlign(mmalign, tmp_dir_name)
  model1.handle.EditXCS().ApplyTransform(result.transform)
  _CleanupFiles(tmp_dir_name)
  return result

def TMScore(model1, model2, tmscore=None):
  """
  Performs a sequence dependent superposition of model1 onto model2, 
  the reference.

  :param model1: The model structure. If the superposition is successful, will 
                 be superposed onto the reference structure
  :type model1: :class:`~ost.mol.EntityView` or :class:`~ost.mol.EntityHandle`
  :param model2: The reference structure
  :type model2: :class:`~ost.mol.EntityView` or :class:`~ost.mol.EntityHandle`
  :param tmscore: If not None, the path to the tmscore executable.
  :returns: The result of the tmscore superposition
  :rtype: :class:`TMScoreResult`
  
  :raises: :class:`~ost.settings.FileNotFound` if tmalign could not be located.
  :raises: :class:`RuntimeError` if the superposition failed
  """
  tmp_dir_name=_SetupFiles((model1, model2))
  result=_RunTmScore(tmscore, tmp_dir_name)
  model1.handle.EditXCS().ApplyTransform(result.transform)  
  _CleanupFiles(tmp_dir_name)
  return result