rosetta.protocols.stepwise.sampler.protein
index
(built-in)

Bindings for protocols::stepwise::sampler::protein namespace

 
Classes
       
rosetta.protocols.stepwise.sampler.JumpStepWiseSampler(rosetta.protocols.stepwise.sampler.StepWiseSamplerSized)
ProteinBetaAntiParallelStepWiseSampler
rosetta.protocols.stepwise.sampler.StepWiseSamplerSized(rosetta.protocols.stepwise.sampler.StepWiseSamplerBase)
ProteinFragmentStepWiseSampler
ProteinMainChainStepWiseSampler

 
class ProteinBetaAntiParallelStepWiseSampler(rosetta.protocols.stepwise.sampler.JumpStepWiseSampler)
    
Method resolution order:
ProteinBetaAntiParallelStepWiseSampler
rosetta.protocols.stepwise.sampler.JumpStepWiseSampler
rosetta.protocols.stepwise.sampler.StepWiseSamplerSized
rosetta.protocols.stepwise.sampler.StepWiseSamplerBase
rosetta.protocols.moves.Mover
builtins.object

Methods defined here:
__init__(...) from builtins.PyCapsule
__init__(*args, **kwargs)
Overloaded function.
 
1. __init__(self : handle, pose : rosetta.core.pose.Pose, moving_residue : int) -> NoneType
 
2. __init__(handle, rosetta.protocols.stepwise.sampler.protein.ProteinBetaAntiParallelStepWiseSampler) -> NoneType
__new__(*args, **kwargs) from builtins.type
Create and return a new object.  See help(type) for accurate signature.
assign(...) from builtins.PyCapsule
assign(self : rosetta.protocols.stepwise.sampler.protein.ProteinBetaAntiParallelStepWiseSampler,  : rosetta.protocols.stepwise.sampler.protein.ProteinBetaAntiParallelStepWiseSampler) -> rosetta.protocols.stepwise.sampler.protein.ProteinBetaAntiParallelStepWiseSampler
get_name(...) from builtins.PyCapsule
get_name(rosetta.protocols.stepwise.sampler.protein.ProteinBetaAntiParallelStepWiseSampler) -> str
 
Name of the class
type(...) from builtins.PyCapsule
type(rosetta.protocols.stepwise.sampler.protein.ProteinBetaAntiParallelStepWiseSampler) -> rosetta.protocols.stepwise.sampler.StepWiseSamplerType
 
Type of class (see enum in StepWiseSamplerTypes.hh)

Methods inherited from rosetta.protocols.stepwise.sampler.JumpStepWiseSampler:
apply(...) from builtins.PyCapsule
apply(self : rosetta.protocols.stepwise.sampler.JumpStepWiseSampler,  : rosetta.core.pose.Pose,  : int) -> NoneType
 
Apply the i-th rotamer to pose
size(...) from builtins.PyCapsule
size(rosetta.protocols.stepwise.sampler.JumpStepWiseSampler) -> int
 
Get the total number of rotamers in sampler

Methods inherited from rosetta.protocols.stepwise.sampler.StepWiseSamplerSized:
fast_forward(...) from builtins.PyCapsule
fast_forward(rosetta.protocols.stepwise.sampler.StepWiseSamplerSized) -> NoneType
id(...) from builtins.PyCapsule
id(rosetta.protocols.stepwise.sampler.StepWiseSamplerSized) -> int
init(...) from builtins.PyCapsule
init(rosetta.protocols.stepwise.sampler.StepWiseSamplerSized) -> NoneType
 
Initialization
not_end(...) from builtins.PyCapsule
not_end(rosetta.protocols.stepwise.sampler.StepWiseSamplerSized) -> bool
 
Check if reach the end of rotamer list
plus_plus(...) from builtins.PyCapsule
plus_plus(rosetta.protocols.stepwise.sampler.StepWiseSamplerSized) -> NoneType
 
Move to next rotamer
reset(...) from builtins.PyCapsule
reset(rosetta.protocols.stepwise.sampler.StepWiseSamplerSized) -> NoneType
 
Reset to the first (or random if random()) rotamer.
set_id(...) from builtins.PyCapsule
set_id(self : rosetta.protocols.stepwise.sampler.StepWiseSamplerSized, setting : int) -> NoneType

Methods inherited from rosetta.protocols.stepwise.sampler.StepWiseSamplerBase:
random(...) from builtins.PyCapsule
random(rosetta.protocols.stepwise.sampler.StepWiseSamplerBase) -> bool
 
Check if is random modeler
set_random(...) from builtins.PyCapsule
set_random(self : rosetta.protocols.stepwise.sampler.StepWiseSamplerBase, setting : bool) -> NoneType
 
Set the random modeler state

Methods inherited from rosetta.protocols.moves.Mover:
clear_info(...) from builtins.PyCapsule
clear_info(rosetta.protocols.moves.Mover) -> NoneType
 
Strings container can be used to return miscellaneous info (as std::string) from a mover, such as notes about the results of apply(). The job distributor (Apr 09 vintage) will check this function to see if your protocol wants to add string info to the Job that ran this mover. One way this can be useful is that later, a JobOutputter may include/append this info to an output file.
 
 
 clear_info is called by jd2 before calling apply
clone(...) from builtins.PyCapsule
clone(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.Mover
 
Return a clone of the Mover object.
create(...) from builtins.PyCapsule
create(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.Mover
fresh_instance(...) from builtins.PyCapsule
fresh_instance(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.Mover
 
Generates a new Mover object freshly created with the default ctor.
get_additional_output(...) from builtins.PyCapsule
get_additional_output(rosetta.protocols.moves.Mover) -> rosetta.core.pose.Pose
 
fpd
 
 
 Mechanism by which a mover may return multiple output poses from a single input pose.
get_current_job(...) from builtins.PyCapsule
get_current_job(rosetta.protocols.moves.Mover) -> protocols::jobdist::BasicJob
get_current_tag(...) from builtins.PyCapsule
get_current_tag(rosetta.protocols.moves.Mover) -> str
 
A tag is a unique identifier used to identify structures produced
 by this Mover. get_current_tag() returns the tag, and set_current_tag( std::string tag )
 sets the tag.  This functionality is not intended for use with the 2008 job distributor.
get_input_pose(...) from builtins.PyCapsule
get_input_pose(rosetta.protocols.moves.Mover) -> rosetta.core.pose.Pose
get_last_move_status(...) from builtins.PyCapsule
get_last_move_status(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.MoverStatus
 
returns status after an apply().  The job distributor (august 08 vintage) will check this function to see if your protocol wants to filter its results - if your protocol wants to say "that run was no good, skip it" then use the protected last_move_status(MoverStatus) to change the value that this function will return.
get_native_pose(...) from builtins.PyCapsule
get_native_pose(rosetta.protocols.moves.Mover) -> rosetta.core.pose.Pose
get_self_ptr(...) from builtins.PyCapsule
get_self_ptr(*args, **kwargs)
Overloaded function.
 
1. get_self_ptr(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.Mover
 
2. get_self_ptr(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.Mover
get_self_weak_ptr(...) from builtins.PyCapsule
get_self_weak_ptr(*args, **kwargs)
Overloaded function.
 
1. get_self_weak_ptr(rosetta.protocols.moves.Mover) -> rosetta.std.weak_ptr_const_protocols_moves_Mover_t
 
2. get_self_weak_ptr(rosetta.protocols.moves.Mover) -> rosetta.std.weak_ptr_protocols_moves_Mover_t
get_type(...) from builtins.PyCapsule
get_type(rosetta.protocols.moves.Mover) -> str
info(...) from builtins.PyCapsule
info(*args, **kwargs)
Overloaded function.
 
1. info(rosetta.protocols.moves.Mover) -> rosetta.std.list_std_string_std_allocator_std_string_t
 
non-const accessor
 
2. info(rosetta.protocols.moves.Mover) -> rosetta.std.list_std_string_std_allocator_std_string_t
 
const accessor
last_proposal_density_ratio(...) from builtins.PyCapsule
last_proposal_density_ratio(rosetta.protocols.moves.Mover) -> float
name(...) from builtins.PyCapsule
name() -> str
register_options(...) from builtins.PyCapsule
register_options(*args, **kwargs)
Overloaded function.
 
1. register_options() -> NoneType
 
Overload this static method if you access options within the mover.
 
 
 These options will end up in -help of your application if users of this mover call register_options.
 Do this recursively!
 If you use movers within your mover, call their register_options in your register_options() method.
 
2. register_options() -> NoneType
 
3. register_options() -> NoneType
 
4. register_options() -> NoneType
 
5. register_options() -> NoneType
 
6. register_options() -> NoneType
 
7. register_options() -> NoneType
 
8. register_options() -> NoneType
 
9. register_options() -> NoneType
 
Associates relevant options with the AntibodyModeler class
 
10. register_options() -> NoneType
 
Associates relevant options with the AntibodyModeler class
 
11. register_options() -> NoneType
 
Associates relevant options with the SnugDock class
 
12. register_options() -> NoneType
 
Associates relevant options with the SnugDockProtocol class
 
13. register_options() -> NoneType
 
Register the options used by this mover with the global options
 system.
 
14. register_options() -> NoneType
 
15. register_options() -> NoneType
 
Associate relevant options with the TemperedDocking class.
 
16. register_options() -> NoneType
 
17. register_options() -> NoneType
 
18. register_options() -> NoneType
 
Associates relevant options with the TemperedDocking class.
 
19. register_options() -> NoneType
 
20. register_options() -> NoneType
 
Associates relevant options with the ConstraintSetMover class
 
21. register_options() -> NoneType
 
22. register_options() -> NoneType
 
Associates relevant options with the DockingInitialPerturbation class
 
23. register_options() -> NoneType
 
Associates relevant options with the DockingProtocol class
 
24. register_options() -> NoneType
 
Associates relevant options with the TemperedDocking class
 
25. register_options() -> NoneType
 
26. register_options() -> NoneType
 
27. register_options() -> NoneType
 
28. register_options() -> NoneType
 
register options
 
29. register_options() -> NoneType
 
30. register_options() -> NoneType
 
Registers applicable options
 
31. register_options() -> NoneType
 
Register options with the option system.
 
32. register_options() -> NoneType
 
33. register_options() -> NoneType
 
34. register_options() -> NoneType
 
Associates relevant options with the LoopRefineInnerCycle class
 
35. register_options() -> NoneType
 
Associates relevant options with the LoopRefineInnerCycleContainer class
 
36. register_options() -> NoneType
 
Associates relevant options with the LoopRefineInnerCycle class
 
37. register_options() -> NoneType
 
Associates relevant options with the LoopRefineInnerCycle class
 
38. register_options() -> NoneType
 
39. register_options() -> NoneType
 
Register options with the option system.
 
40. register_options() -> NoneType
reinitialize_for_each_job(...) from builtins.PyCapsule
reinitialize_for_each_job(rosetta.protocols.moves.Mover) -> bool
 
Inform the Job Distributor (August '08 vintage) whether this object needs to be freshly regenerated on
 each use.
reinitialize_for_new_input(...) from builtins.PyCapsule
reinitialize_for_new_input(rosetta.protocols.moves.Mover) -> bool
 
Inform the Job Distributor (August '08 vintage) whether this object needs to be regenerated when the input
 pose is about to change, (for example, if the Mover has special code on the first apply() that is only valid for
 that one input pose).
reset_status(...) from builtins.PyCapsule
reset_status(rosetta.protocols.moves.Mover) -> NoneType
 
resets status to SUCCESS, meant to be used before an apply().  The job distributor (august 08 vintage) uses this to ensure non-accumulation of status across apply()s.
set_current_job(...) from builtins.PyCapsule
set_current_job(self : rosetta.protocols.moves.Mover, job : protocols::jobdist::BasicJob) -> NoneType
 
////////////////////////////end Job Distributor interface////////////////////////////////////////
set_current_tag(...) from builtins.PyCapsule
set_current_tag(self : rosetta.protocols.moves.Mover, new_tag : str) -> NoneType
set_input_pose(...) from builtins.PyCapsule
set_input_pose(self : rosetta.protocols.moves.Mover, pose : rosetta.core.pose.Pose) -> NoneType
 
setter for poses contained for rms
set_native_pose(...) from builtins.PyCapsule
set_native_pose(self : rosetta.protocols.moves.Mover, pose : rosetta.core.pose.Pose) -> NoneType
 
setter for native poses contained for rms ---- we should get rid of this method? it is widely used, but a bit unsafe
set_type(...) from builtins.PyCapsule
set_type(self : rosetta.protocols.moves.Mover, setting : str) -> NoneType
test_move(...) from builtins.PyCapsule
test_move(self : rosetta.protocols.moves.Mover, pose : rosetta.core.pose.Pose) -> NoneType
 
: Unit test support function.  Apply one move to a given pose.
      Allows extra test specific functions to be called before applying

 
class ProteinFragmentStepWiseSampler(rosetta.protocols.stepwise.sampler.StepWiseSamplerSized)
    
Method resolution order:
ProteinFragmentStepWiseSampler
rosetta.protocols.stepwise.sampler.StepWiseSamplerSized
rosetta.protocols.stepwise.sampler.StepWiseSamplerBase
rosetta.protocols.moves.Mover
builtins.object

Methods defined here:
__init__(...) from builtins.PyCapsule
__init__(*args, **kwargs)
Overloaded function.
 
1. __init__(self : handle, frag_file : str, slice_res : rosetta.utility.vector1_unsigned_long, moving_residues : rosetta.utility.vector1_unsigned_long) -> NoneType
 
2. __init__(handle, rosetta.protocols.stepwise.sampler.protein.ProteinFragmentStepWiseSampler) -> NoneType
__new__(*args, **kwargs) from builtins.type
Create and return a new object.  See help(type) for accurate signature.
apply(...) from builtins.PyCapsule
apply(self : rosetta.protocols.stepwise.sampler.protein.ProteinFragmentStepWiseSampler,  : rosetta.core.pose.Pose,  : int) -> NoneType
 
Apply the i-th rotamer to pose
assign(...) from builtins.PyCapsule
assign(self : rosetta.protocols.stepwise.sampler.protein.ProteinFragmentStepWiseSampler,  : rosetta.protocols.stepwise.sampler.protein.ProteinFragmentStepWiseSampler) -> rosetta.protocols.stepwise.sampler.protein.ProteinFragmentStepWiseSampler
get_name(...) from builtins.PyCapsule
get_name(rosetta.protocols.stepwise.sampler.protein.ProteinFragmentStepWiseSampler) -> str
 
Name of the class
size(...) from builtins.PyCapsule
size(rosetta.protocols.stepwise.sampler.protein.ProteinFragmentStepWiseSampler) -> int
 
Get the total number of rotamers in sampler
type(...) from builtins.PyCapsule
type(rosetta.protocols.stepwise.sampler.protein.ProteinFragmentStepWiseSampler) -> rosetta.protocols.stepwise.sampler.StepWiseSamplerType
 
Type of class (see enum in StepWiseSamplerTypes.hh)

Methods inherited from rosetta.protocols.stepwise.sampler.StepWiseSamplerSized:
fast_forward(...) from builtins.PyCapsule
fast_forward(rosetta.protocols.stepwise.sampler.StepWiseSamplerSized) -> NoneType
id(...) from builtins.PyCapsule
id(rosetta.protocols.stepwise.sampler.StepWiseSamplerSized) -> int
init(...) from builtins.PyCapsule
init(rosetta.protocols.stepwise.sampler.StepWiseSamplerSized) -> NoneType
 
Initialization
not_end(...) from builtins.PyCapsule
not_end(rosetta.protocols.stepwise.sampler.StepWiseSamplerSized) -> bool
 
Check if reach the end of rotamer list
plus_plus(...) from builtins.PyCapsule
plus_plus(rosetta.protocols.stepwise.sampler.StepWiseSamplerSized) -> NoneType
 
Move to next rotamer
reset(...) from builtins.PyCapsule
reset(rosetta.protocols.stepwise.sampler.StepWiseSamplerSized) -> NoneType
 
Reset to the first (or random if random()) rotamer.
set_id(...) from builtins.PyCapsule
set_id(self : rosetta.protocols.stepwise.sampler.StepWiseSamplerSized, setting : int) -> NoneType

Methods inherited from rosetta.protocols.stepwise.sampler.StepWiseSamplerBase:
random(...) from builtins.PyCapsule
random(rosetta.protocols.stepwise.sampler.StepWiseSamplerBase) -> bool
 
Check if is random modeler
set_random(...) from builtins.PyCapsule
set_random(self : rosetta.protocols.stepwise.sampler.StepWiseSamplerBase, setting : bool) -> NoneType
 
Set the random modeler state

Methods inherited from rosetta.protocols.moves.Mover:
clear_info(...) from builtins.PyCapsule
clear_info(rosetta.protocols.moves.Mover) -> NoneType
 
Strings container can be used to return miscellaneous info (as std::string) from a mover, such as notes about the results of apply(). The job distributor (Apr 09 vintage) will check this function to see if your protocol wants to add string info to the Job that ran this mover. One way this can be useful is that later, a JobOutputter may include/append this info to an output file.
 
 
 clear_info is called by jd2 before calling apply
clone(...) from builtins.PyCapsule
clone(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.Mover
 
Return a clone of the Mover object.
create(...) from builtins.PyCapsule
create(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.Mover
fresh_instance(...) from builtins.PyCapsule
fresh_instance(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.Mover
 
Generates a new Mover object freshly created with the default ctor.
get_additional_output(...) from builtins.PyCapsule
get_additional_output(rosetta.protocols.moves.Mover) -> rosetta.core.pose.Pose
 
fpd
 
 
 Mechanism by which a mover may return multiple output poses from a single input pose.
get_current_job(...) from builtins.PyCapsule
get_current_job(rosetta.protocols.moves.Mover) -> protocols::jobdist::BasicJob
get_current_tag(...) from builtins.PyCapsule
get_current_tag(rosetta.protocols.moves.Mover) -> str
 
A tag is a unique identifier used to identify structures produced
 by this Mover. get_current_tag() returns the tag, and set_current_tag( std::string tag )
 sets the tag.  This functionality is not intended for use with the 2008 job distributor.
get_input_pose(...) from builtins.PyCapsule
get_input_pose(rosetta.protocols.moves.Mover) -> rosetta.core.pose.Pose
get_last_move_status(...) from builtins.PyCapsule
get_last_move_status(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.MoverStatus
 
returns status after an apply().  The job distributor (august 08 vintage) will check this function to see if your protocol wants to filter its results - if your protocol wants to say "that run was no good, skip it" then use the protected last_move_status(MoverStatus) to change the value that this function will return.
get_native_pose(...) from builtins.PyCapsule
get_native_pose(rosetta.protocols.moves.Mover) -> rosetta.core.pose.Pose
get_self_ptr(...) from builtins.PyCapsule
get_self_ptr(*args, **kwargs)
Overloaded function.
 
1. get_self_ptr(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.Mover
 
2. get_self_ptr(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.Mover
get_self_weak_ptr(...) from builtins.PyCapsule
get_self_weak_ptr(*args, **kwargs)
Overloaded function.
 
1. get_self_weak_ptr(rosetta.protocols.moves.Mover) -> rosetta.std.weak_ptr_const_protocols_moves_Mover_t
 
2. get_self_weak_ptr(rosetta.protocols.moves.Mover) -> rosetta.std.weak_ptr_protocols_moves_Mover_t
get_type(...) from builtins.PyCapsule
get_type(rosetta.protocols.moves.Mover) -> str
info(...) from builtins.PyCapsule
info(*args, **kwargs)
Overloaded function.
 
1. info(rosetta.protocols.moves.Mover) -> rosetta.std.list_std_string_std_allocator_std_string_t
 
non-const accessor
 
2. info(rosetta.protocols.moves.Mover) -> rosetta.std.list_std_string_std_allocator_std_string_t
 
const accessor
last_proposal_density_ratio(...) from builtins.PyCapsule
last_proposal_density_ratio(rosetta.protocols.moves.Mover) -> float
name(...) from builtins.PyCapsule
name() -> str
register_options(...) from builtins.PyCapsule
register_options(*args, **kwargs)
Overloaded function.
 
1. register_options() -> NoneType
 
Overload this static method if you access options within the mover.
 
 
 These options will end up in -help of your application if users of this mover call register_options.
 Do this recursively!
 If you use movers within your mover, call their register_options in your register_options() method.
 
2. register_options() -> NoneType
 
3. register_options() -> NoneType
 
4. register_options() -> NoneType
 
5. register_options() -> NoneType
 
6. register_options() -> NoneType
 
7. register_options() -> NoneType
 
8. register_options() -> NoneType
 
9. register_options() -> NoneType
 
Associates relevant options with the AntibodyModeler class
 
10. register_options() -> NoneType
 
Associates relevant options with the AntibodyModeler class
 
11. register_options() -> NoneType
 
Associates relevant options with the SnugDock class
 
12. register_options() -> NoneType
 
Associates relevant options with the SnugDockProtocol class
 
13. register_options() -> NoneType
 
Register the options used by this mover with the global options
 system.
 
14. register_options() -> NoneType
 
15. register_options() -> NoneType
 
Associate relevant options with the TemperedDocking class.
 
16. register_options() -> NoneType
 
17. register_options() -> NoneType
 
18. register_options() -> NoneType
 
Associates relevant options with the TemperedDocking class.
 
19. register_options() -> NoneType
 
20. register_options() -> NoneType
 
Associates relevant options with the ConstraintSetMover class
 
21. register_options() -> NoneType
 
22. register_options() -> NoneType
 
Associates relevant options with the DockingInitialPerturbation class
 
23. register_options() -> NoneType
 
Associates relevant options with the DockingProtocol class
 
24. register_options() -> NoneType
 
Associates relevant options with the TemperedDocking class
 
25. register_options() -> NoneType
 
26. register_options() -> NoneType
 
27. register_options() -> NoneType
 
28. register_options() -> NoneType
 
register options
 
29. register_options() -> NoneType
 
30. register_options() -> NoneType
 
Registers applicable options
 
31. register_options() -> NoneType
 
Register options with the option system.
 
32. register_options() -> NoneType
 
33. register_options() -> NoneType
 
34. register_options() -> NoneType
 
Associates relevant options with the LoopRefineInnerCycle class
 
35. register_options() -> NoneType
 
Associates relevant options with the LoopRefineInnerCycleContainer class
 
36. register_options() -> NoneType
 
Associates relevant options with the LoopRefineInnerCycle class
 
37. register_options() -> NoneType
 
Associates relevant options with the LoopRefineInnerCycle class
 
38. register_options() -> NoneType
 
39. register_options() -> NoneType
 
Register options with the option system.
 
40. register_options() -> NoneType
reinitialize_for_each_job(...) from builtins.PyCapsule
reinitialize_for_each_job(rosetta.protocols.moves.Mover) -> bool
 
Inform the Job Distributor (August '08 vintage) whether this object needs to be freshly regenerated on
 each use.
reinitialize_for_new_input(...) from builtins.PyCapsule
reinitialize_for_new_input(rosetta.protocols.moves.Mover) -> bool
 
Inform the Job Distributor (August '08 vintage) whether this object needs to be regenerated when the input
 pose is about to change, (for example, if the Mover has special code on the first apply() that is only valid for
 that one input pose).
reset_status(...) from builtins.PyCapsule
reset_status(rosetta.protocols.moves.Mover) -> NoneType
 
resets status to SUCCESS, meant to be used before an apply().  The job distributor (august 08 vintage) uses this to ensure non-accumulation of status across apply()s.
set_current_job(...) from builtins.PyCapsule
set_current_job(self : rosetta.protocols.moves.Mover, job : protocols::jobdist::BasicJob) -> NoneType
 
////////////////////////////end Job Distributor interface////////////////////////////////////////
set_current_tag(...) from builtins.PyCapsule
set_current_tag(self : rosetta.protocols.moves.Mover, new_tag : str) -> NoneType
set_input_pose(...) from builtins.PyCapsule
set_input_pose(self : rosetta.protocols.moves.Mover, pose : rosetta.core.pose.Pose) -> NoneType
 
setter for poses contained for rms
set_native_pose(...) from builtins.PyCapsule
set_native_pose(self : rosetta.protocols.moves.Mover, pose : rosetta.core.pose.Pose) -> NoneType
 
setter for native poses contained for rms ---- we should get rid of this method? it is widely used, but a bit unsafe
set_type(...) from builtins.PyCapsule
set_type(self : rosetta.protocols.moves.Mover, setting : str) -> NoneType
test_move(...) from builtins.PyCapsule
test_move(self : rosetta.protocols.moves.Mover, pose : rosetta.core.pose.Pose) -> NoneType
 
: Unit test support function.  Apply one move to a given pose.
      Allows extra test specific functions to be called before applying

 
class ProteinMainChainStepWiseSampler(rosetta.protocols.stepwise.sampler.StepWiseSamplerSized)
    
Method resolution order:
ProteinMainChainStepWiseSampler
rosetta.protocols.stepwise.sampler.StepWiseSamplerSized
rosetta.protocols.stepwise.sampler.StepWiseSamplerBase
rosetta.protocols.moves.Mover
builtins.object

Methods defined here:
__init__(...) from builtins.PyCapsule
__init__(*args, **kwargs)
Overloaded function.
 
1. __init__(handle, rosetta.utility.vector1_core_id_TorsionID, rosetta.utility.vector1_utility_vector1_double_std_allocator_double_t) -> NoneType
 
doc
 
2. __init__(self : handle, which_torsions : rosetta.utility.vector1_core_id_TorsionID, main_chain_torsion_set_lists : rosetta.utility.vector1_utility_vector1_double_std_allocator_double_t, choose_random : bool) -> NoneType
 
3. __init__(handle) -> NoneType
 
4. __init__(handle, rosetta.protocols.stepwise.sampler.protein.ProteinMainChainStepWiseSampler) -> NoneType
__new__(*args, **kwargs) from builtins.type
Create and return a new object.  See help(type) for accurate signature.
apply(...) from builtins.PyCapsule
apply(self : rosetta.protocols.stepwise.sampler.protein.ProteinMainChainStepWiseSampler,  : rosetta.core.pose.Pose,  : int) -> NoneType
 
Apply the i-th rotamer to pose
get_name(...) from builtins.PyCapsule
get_name(rosetta.protocols.stepwise.sampler.protein.ProteinMainChainStepWiseSampler) -> str
 
Name of the class
size(...) from builtins.PyCapsule
size(rosetta.protocols.stepwise.sampler.protein.ProteinMainChainStepWiseSampler) -> int
 
Get the total number of rotamers in sampler
type(...) from builtins.PyCapsule
type(rosetta.protocols.stepwise.sampler.protein.ProteinMainChainStepWiseSampler) -> rosetta.protocols.stepwise.sampler.StepWiseSamplerType
 
Type of class (see enum in StepWiseSamplerTypes.hh)

Methods inherited from rosetta.protocols.stepwise.sampler.StepWiseSamplerSized:
assign(...) from builtins.PyCapsule
assign(self : rosetta.protocols.stepwise.sampler.StepWiseSamplerSized,  : rosetta.protocols.stepwise.sampler.StepWiseSamplerSized) -> rosetta.protocols.stepwise.sampler.StepWiseSamplerSized
fast_forward(...) from builtins.PyCapsule
fast_forward(rosetta.protocols.stepwise.sampler.StepWiseSamplerSized) -> NoneType
id(...) from builtins.PyCapsule
id(rosetta.protocols.stepwise.sampler.StepWiseSamplerSized) -> int
init(...) from builtins.PyCapsule
init(rosetta.protocols.stepwise.sampler.StepWiseSamplerSized) -> NoneType
 
Initialization
not_end(...) from builtins.PyCapsule
not_end(rosetta.protocols.stepwise.sampler.StepWiseSamplerSized) -> bool
 
Check if reach the end of rotamer list
plus_plus(...) from builtins.PyCapsule
plus_plus(rosetta.protocols.stepwise.sampler.StepWiseSamplerSized) -> NoneType
 
Move to next rotamer
reset(...) from builtins.PyCapsule
reset(rosetta.protocols.stepwise.sampler.StepWiseSamplerSized) -> NoneType
 
Reset to the first (or random if random()) rotamer.
set_id(...) from builtins.PyCapsule
set_id(self : rosetta.protocols.stepwise.sampler.StepWiseSamplerSized, setting : int) -> NoneType

Methods inherited from rosetta.protocols.stepwise.sampler.StepWiseSamplerBase:
random(...) from builtins.PyCapsule
random(rosetta.protocols.stepwise.sampler.StepWiseSamplerBase) -> bool
 
Check if is random modeler
set_random(...) from builtins.PyCapsule
set_random(self : rosetta.protocols.stepwise.sampler.StepWiseSamplerBase, setting : bool) -> NoneType
 
Set the random modeler state

Methods inherited from rosetta.protocols.moves.Mover:
clear_info(...) from builtins.PyCapsule
clear_info(rosetta.protocols.moves.Mover) -> NoneType
 
Strings container can be used to return miscellaneous info (as std::string) from a mover, such as notes about the results of apply(). The job distributor (Apr 09 vintage) will check this function to see if your protocol wants to add string info to the Job that ran this mover. One way this can be useful is that later, a JobOutputter may include/append this info to an output file.
 
 
 clear_info is called by jd2 before calling apply
clone(...) from builtins.PyCapsule
clone(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.Mover
 
Return a clone of the Mover object.
create(...) from builtins.PyCapsule
create(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.Mover
fresh_instance(...) from builtins.PyCapsule
fresh_instance(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.Mover
 
Generates a new Mover object freshly created with the default ctor.
get_additional_output(...) from builtins.PyCapsule
get_additional_output(rosetta.protocols.moves.Mover) -> rosetta.core.pose.Pose
 
fpd
 
 
 Mechanism by which a mover may return multiple output poses from a single input pose.
get_current_job(...) from builtins.PyCapsule
get_current_job(rosetta.protocols.moves.Mover) -> protocols::jobdist::BasicJob
get_current_tag(...) from builtins.PyCapsule
get_current_tag(rosetta.protocols.moves.Mover) -> str
 
A tag is a unique identifier used to identify structures produced
 by this Mover. get_current_tag() returns the tag, and set_current_tag( std::string tag )
 sets the tag.  This functionality is not intended for use with the 2008 job distributor.
get_input_pose(...) from builtins.PyCapsule
get_input_pose(rosetta.protocols.moves.Mover) -> rosetta.core.pose.Pose
get_last_move_status(...) from builtins.PyCapsule
get_last_move_status(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.MoverStatus
 
returns status after an apply().  The job distributor (august 08 vintage) will check this function to see if your protocol wants to filter its results - if your protocol wants to say "that run was no good, skip it" then use the protected last_move_status(MoverStatus) to change the value that this function will return.
get_native_pose(...) from builtins.PyCapsule
get_native_pose(rosetta.protocols.moves.Mover) -> rosetta.core.pose.Pose
get_self_ptr(...) from builtins.PyCapsule
get_self_ptr(*args, **kwargs)
Overloaded function.
 
1. get_self_ptr(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.Mover
 
2. get_self_ptr(rosetta.protocols.moves.Mover) -> rosetta.protocols.moves.Mover
get_self_weak_ptr(...) from builtins.PyCapsule
get_self_weak_ptr(*args, **kwargs)
Overloaded function.
 
1. get_self_weak_ptr(rosetta.protocols.moves.Mover) -> rosetta.std.weak_ptr_const_protocols_moves_Mover_t
 
2. get_self_weak_ptr(rosetta.protocols.moves.Mover) -> rosetta.std.weak_ptr_protocols_moves_Mover_t
get_type(...) from builtins.PyCapsule
get_type(rosetta.protocols.moves.Mover) -> str
info(...) from builtins.PyCapsule
info(*args, **kwargs)
Overloaded function.
 
1. info(rosetta.protocols.moves.Mover) -> rosetta.std.list_std_string_std_allocator_std_string_t
 
non-const accessor
 
2. info(rosetta.protocols.moves.Mover) -> rosetta.std.list_std_string_std_allocator_std_string_t
 
const accessor
last_proposal_density_ratio(...) from builtins.PyCapsule
last_proposal_density_ratio(rosetta.protocols.moves.Mover) -> float
name(...) from builtins.PyCapsule
name() -> str
register_options(...) from builtins.PyCapsule
register_options(*args, **kwargs)
Overloaded function.
 
1. register_options() -> NoneType
 
Overload this static method if you access options within the mover.
 
 
 These options will end up in -help of your application if users of this mover call register_options.
 Do this recursively!
 If you use movers within your mover, call their register_options in your register_options() method.
 
2. register_options() -> NoneType
 
3. register_options() -> NoneType
 
4. register_options() -> NoneType
 
5. register_options() -> NoneType
 
6. register_options() -> NoneType
 
7. register_options() -> NoneType
 
8. register_options() -> NoneType
 
9. register_options() -> NoneType
 
Associates relevant options with the AntibodyModeler class
 
10. register_options() -> NoneType
 
Associates relevant options with the AntibodyModeler class
 
11. register_options() -> NoneType
 
Associates relevant options with the SnugDock class
 
12. register_options() -> NoneType
 
Associates relevant options with the SnugDockProtocol class
 
13. register_options() -> NoneType
 
Register the options used by this mover with the global options
 system.
 
14. register_options() -> NoneType
 
15. register_options() -> NoneType
 
Associate relevant options with the TemperedDocking class.
 
16. register_options() -> NoneType
 
17. register_options() -> NoneType
 
18. register_options() -> NoneType
 
Associates relevant options with the TemperedDocking class.
 
19. register_options() -> NoneType
 
20. register_options() -> NoneType
 
Associates relevant options with the ConstraintSetMover class
 
21. register_options() -> NoneType
 
22. register_options() -> NoneType
 
Associates relevant options with the DockingInitialPerturbation class
 
23. register_options() -> NoneType
 
Associates relevant options with the DockingProtocol class
 
24. register_options() -> NoneType
 
Associates relevant options with the TemperedDocking class
 
25. register_options() -> NoneType
 
26. register_options() -> NoneType
 
27. register_options() -> NoneType
 
28. register_options() -> NoneType
 
register options
 
29. register_options() -> NoneType
 
30. register_options() -> NoneType
 
Registers applicable options
 
31. register_options() -> NoneType
 
Register options with the option system.
 
32. register_options() -> NoneType
 
33. register_options() -> NoneType
 
34. register_options() -> NoneType
 
Associates relevant options with the LoopRefineInnerCycle class
 
35. register_options() -> NoneType
 
Associates relevant options with the LoopRefineInnerCycleContainer class
 
36. register_options() -> NoneType
 
Associates relevant options with the LoopRefineInnerCycle class
 
37. register_options() -> NoneType
 
Associates relevant options with the LoopRefineInnerCycle class
 
38. register_options() -> NoneType
 
39. register_options() -> NoneType
 
Register options with the option system.
 
40. register_options() -> NoneType
reinitialize_for_each_job(...) from builtins.PyCapsule
reinitialize_for_each_job(rosetta.protocols.moves.Mover) -> bool
 
Inform the Job Distributor (August '08 vintage) whether this object needs to be freshly regenerated on
 each use.
reinitialize_for_new_input(...) from builtins.PyCapsule
reinitialize_for_new_input(rosetta.protocols.moves.Mover) -> bool
 
Inform the Job Distributor (August '08 vintage) whether this object needs to be regenerated when the input
 pose is about to change, (for example, if the Mover has special code on the first apply() that is only valid for
 that one input pose).
reset_status(...) from builtins.PyCapsule
reset_status(rosetta.protocols.moves.Mover) -> NoneType
 
resets status to SUCCESS, meant to be used before an apply().  The job distributor (august 08 vintage) uses this to ensure non-accumulation of status across apply()s.
set_current_job(...) from builtins.PyCapsule
set_current_job(self : rosetta.protocols.moves.Mover, job : protocols::jobdist::BasicJob) -> NoneType
 
////////////////////////////end Job Distributor interface////////////////////////////////////////
set_current_tag(...) from builtins.PyCapsule
set_current_tag(self : rosetta.protocols.moves.Mover, new_tag : str) -> NoneType
set_input_pose(...) from builtins.PyCapsule
set_input_pose(self : rosetta.protocols.moves.Mover, pose : rosetta.core.pose.Pose) -> NoneType
 
setter for poses contained for rms
set_native_pose(...) from builtins.PyCapsule
set_native_pose(self : rosetta.protocols.moves.Mover, pose : rosetta.core.pose.Pose) -> NoneType
 
setter for native poses contained for rms ---- we should get rid of this method? it is widely used, but a bit unsafe
set_type(...) from builtins.PyCapsule
set_type(self : rosetta.protocols.moves.Mover, setting : str) -> NoneType
test_move(...) from builtins.PyCapsule
test_move(self : rosetta.protocols.moves.Mover, pose : rosetta.core.pose.Pose) -> NoneType
 
: Unit test support function.  Apply one move to a given pose.
      Allows extra test specific functions to be called before applying

 
Functions
       
do_set_xyz(...) method of builtins.PyCapsule instance
do_set_xyz(pose : rosetta.core.pose.Pose, i : int, scratch_pose : rosetta.core.pose.Pose, i_scratch : int, stub : rosetta.core.kinematics.Stub) -> NoneType
generate_beta_database_test(...) method of builtins.PyCapsule instance
generate_beta_database_test() -> NoneType
get_basic_protein_sampler(...) method of builtins.PyCapsule instance
get_basic_protein_sampler(pose : rosetta.core.pose.Pose, moving_res_list : rosetta.utility.vector1_unsigned_long, working_parameters : rosetta.protocols.stepwise.modeler.working_parameters.StepWiseWorkingParameters, options : rosetta.protocols.stepwise.modeler.options.StepWiseModelerOptions, input_streams : rosetta.utility.vector1_std_shared_ptr_protocols_stepwise_modeler_protein_InputStreamWithResidueInfo_t) -> rosetta.protocols.stepwise.sampler.StepWiseSamplerSized