Rosetta  2019.12
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loops.py File Reference

Namespaces

 loops
 

Variables

tuple loops.p = Pose()
 
tuple loops.starting_p = Pose()
 
tuple loops.scorefxn_low = create_score_function('cen_std')
 
tuple loops.scorefxn_high = create_score_function('standard', 'score12')
 
int loops.loop_begin = 77
 
int loops.loop_end = 85
 
int loops.cutpoint = 81
 
tuple loops.my_loop = Loop( loop_begin, loop_end, cutpoint)
 
tuple loops.movemap = MoveMap()
 
tuple loops.fragset3mer = ConstantLengthFragSet(3, "test_in3_fragments")
 
tuple loops.mover_3mer = ClassicFragmentMover(fragset3mer,movemap)
 
tuple loops.ccd_closure = CCDLoopClosureMover(my_loop, movemap)
 
tuple loops.to_centroid = protocols.simple_moves.SwitchResidueTypeSetMover('centroid')
 
tuple loops.to_fullatom = protocols.simple_moves.SwitchResidueTypeSetMover('fa_standard')
 
tuple loops.recover_sidechains = protocols.simple_moves.ReturnSidechainMover(starting_p)
 
tuple loops.task_pack = TaskFactory.create_packer_task(starting_p)
 
tuple loops.pack = protocols.minimization_packing.PackRotamersMover( scorefxn_high, task_pack )
 
tuple loops.starting_p_centroid = Pose()
 
tuple loops.jd = Job_dist("loop_output", 100, scorefxn_high)
 
int loops.outer_cycles = 10
 
int loops.inner_cycles = 30
 
float loops.init_temp = 2.0
 
float loops.final_temp = 0.8
 
tuple loops.gamma = math.pow((final_temp/init_temp),(1.0/(outer_cycles*inner_cycles)))
 
 loops.kT = init_temp
 
tuple loops.mc = MonteCarlo(p, scorefxn_low, kT)
 
tuple loops.my_loops = Loops()
 
tuple loops.loop_refine = LoopMover_Refine_CCD(my_loops)
 
tuple loops.Lrms = loop_rmsd(p, starting_p, my_loops, True)