[modeller_usage] muliplay cpu

[Knut J Bjuland <>]

How do I use multiple cpu when doing loop which I have shown in a script 
below. I am trying to use several cpus to get a faster build of a model.

Knut J



rom modeller import *
from modeller.automodel import *
from modeller.parallel import *




env = environ()


j= job()
j.append(local_slave()) #cpu 1
j.append(local_slave()) #cpu 2
j.append(local_slave()) #cpu 3
j.append(local_slave()) #cpu 3


j.start()

class Model(automodel):
    def select_atoms(self):
        return selection(self.residue_range('1:','180:'))

a=Model(env,alnfile='hNaa10p.ali', knowns='2OB0', sequence='hnaa10',
        assess_methods=assess.DOPE)

a.starting_model=1
a.ending_model=200
a.use_parallel_job(j)
a.make()

# Get a list of all successfully built models from a.outputs
ok_models = filter(lambda x: x['failure'] is None, a.outputs)

# Rank the models by DOPE score
key = 'DOPE score'
ok_models.sort(lambda a,b: cmp(a[key], b[key]))

# Get top model
m = ok_models[0]
print "Top model: %s (DOPE score %.3f)" % (m['name'], m[key])