Rosetta
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perform a given mover and sample structures by MonteCarlo More...
#include <protocols/evolution/EvolutionaryDynamicsMover.fwd.hh>
#include <string>
#include <functional>
#include <utility/vector1.hh>
#include <utility/tag/Tag.fwd.hh>
#include <core/types.hh>
#include <core/pose/Pose.fwd.hh>
#include <core/scoring/ScoreFunction.hh>
#include <core/pack/task/PackerTask.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/monte_carlo/GenericMonteCarloMover.hh>
Classes | |
class | protocols::evolution::EvolutionaryDynamicsMover |
Namespaces | |
protocols | |
The instance of Loops contained by AbrelaxApplication should be replaced by a LoopsOP. | |
protocols::evolution | |
Typedefs | |
typedef std::function< bool(core::Size, core::Size, const core::pose::Pose &, core::scoring::ScoreFunctionOP)> | protocols::evolution::EvolutionaryDynamicsMoverTrigger |
Trigger API definition. More... | |
perform a given mover and sample structures by MonteCarlo
The "score" evaluation of pose during MC after applying mover is done by ither 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.