GenericMonteCarloMover.hh File Reference

perform a given mover and sample structures by MonteCarlo More...

#include <protocols/monte_carlo/GenericMonteCarloMover.fwd.hh>
#include <basic/datacache/DataMapObj.hh>
#include <protocols/moves/MonteCarloStatus.hh>
#include <string>
#include <functional>
#include <boost/unordered_map.hpp>
#include <utility/vector1.hh>
#include <utility/tag/Tag.fwd.hh>
#include <core/types.hh>
#include <core/pose/Pose.fwd.hh>
#include <core/scoring/ScoreFunction.fwd.hh>
#include <core/pack/task/PackerTask.fwd.hh>
#include <core/pack/task/TaskFactory.fwd.hh>
#include <protocols/filters/Filter.fwd.hh>
#include <protocols/rosetta_scripts/ParsedProtocol.fwd.hh>
#include <basic/datacache/DataMap.fwd.hh>
#include <protocols/moves/MoverApplyingMover.hh>

Classes
class	protocols::monte_carlo::GenericMonteCarloMover

Namespaces
	protocols
	The instance of Loops contained by AbrelaxApplication should be replaced by a LoopsOP.
	protocols::monte_carlo

Typedefs
typedef std::function< bool(core::Size, core::Size, const core::pose::Pose &, core::scoring::ScoreFunctionOP)>	protocols::monte_carlo::GenericMonteCarloMoverTrigger
	Trigger API definition. More...

Detailed Description

perform a given mover and sample structures by MonteCarlo

The "score" evaluation of pose during MC after applying mover is done by either FilterOP that can do report_sm() or ScoreFunctionOP you gave. By setting sample_type_ to high, you can also sample the pose that have higher score.

Author

Nobuyasu Koga ( nobuy.nosp@m.asu@.nosp@m.uw.ed.nosp@m.u )

Christopher Miles (cmile.nosp@m.s@uw.nosp@m..edu)