Workflow homology modelling glucocerebrosidase

Detailed workflow of the different homology modelling approaches for glucocerebrosidase. Return to overview.

MODELLER

Preparation of the Alignment File

1. Save target protein sequence in PIR-format: target.pir
2. Save PDB-file of template sequence: template:pdb

   If PDB-file consists of several chains: split pdb file with the help of splitpdb (note that minor changes are needed, so that ATOM coordinates get listed in the resulting PDB-file instead of HETATOMS).

3. Run the following Python script with command 'mod9.9 align.py' to create a target-template alignment in PIR-format:

log.verbose()

env = environ()

aln = alignment(env)

mdl= model(env, file='template')

aln.append_model(mdl, align_codes='template')

aln.append(file='target.pir', align_codes=('target'))

aln.align(gap_penalties_1d=(-600,-400))

aln.write(file='target_template.ali', alignment_format='PIR')

aln.write(file='target_template.pap', alignment_format='PAP')

Modelling of the Target Structure

1. Run the following Python script with command 'mod9.9 model.py' to model the structure of the target sequence:

   Note that all files (alignment- and structure file) must be in the same folder

from modeller.automodel import * 

log.verbose()

env = environ()

env.io.atom_files_directory = 

a = automodel (env, alnfile = 'target_template.ali', knowns = 'template', sequence = 'target')

a.starting_model = 1

a.ending_model = 1

a.make()

iTASSER

coming soon

SWISS-MODELLER

coming soon