Computation of clusters of docking poses. More...

#include <BALL/DOCKING/COMMON/poseClustering.h>

Classes
class	ClusterProperties

class	ClusterTreeNodeComparator

class	ClusterTreeWriter_

struct	Default
	Default values for options. More...

struct	Option
	Option names. More...

class	PosePointer

class	RigidTransformation

Public Member Functions
operation methods
bool	compute ()

Access methods
void	setConformationSet (ConformationSet *new_set, bool precompute_atombijection=false)
	sets the poses to be clustered, the conformation set's reference system will the base system More...

void	setBaseSystemAndPoses (System const &base_system, std::vector< PosePointer > const &poses)

void	setBaseSystemAndTransformations (System const &base_system, String transformation_file_name)

const ConformationSet *	getConformationSet () const
	returns the poses to be clustered as ConformationSet More...

ConformationSet *	getConformationSet ()
	returns the poses to be clustered as ConformationSet More...

const std::vector< RigidTransformation > &	getRigidTransformations () const
	returns the poses as rigid transformations More...

std::vector< Vector3 > &	getCentersOfMass ()
	returns the centers of mass-vector (non-empty only for CENTER_OF_MASS_DISTANCE) More...

std::vector< Vector3 > const &	getCentersOfMass () const
	returns the centers of mass-vector, const version (non-empty only for CENTER_OF_MASS_DISTANCE) More...

const System &	getSystem () const
	returns the reference pose More...

System &	getSystem ()
	returns the reference pose More...

Size	getNumberOfPoses () const
	returns the number of poses More...

Size	getNumberOfClusters () const
	returns the number of clusters found More...

const std::set< Index > &	getCluster (Index i) const

std::set< Index > &	getCluster (Index i)

Size	getClusterSize (Index i) const
	returns the size of cluster i More...

float	getClusterScore (Index i) const
	returns the score of cluster i More...

float	getScore (const System sys_a, const System sys_b, Options options) const
	returns the score between two poses given as systems More...

AtomBijection &	getAtomBijection ()
	returns a reference to the cached AtomBijection More...

AtomBijection const &	getAtomBijection () const
	returns a const reference to the cached AtomBijection More...

void	applyTransformation2System (Index i, System &target_system)
	apply a transformation to a given system More...

void	convertTransformations2Snaphots ()
	convert the poses to SnapShots More...

void	convertSnaphots2Transformations ()
	convert the poses to rigid transformations More...

float	computeCompleteLinkageRMSD (Index i, Options options, bool initialize=true)
	returns the complete linkage RMSD of cluster i More...

boost::shared_ptr< System >	getPose (Index i) const
	returns the complete linkage RMSD of a pose set More...

std::vector< PosePointer > const &	getPoses () const
	returns poses as PosePointer More...

boost::shared_ptr< System >	getClusterRepresentative (Index i)
	returns the "central cluster" conformation of cluster i as system More...

Index	findClusterRepresentative (Index i)
	returns the index of the cluster representative More...

boost::shared_ptr< ConformationSet >	getClusterConformationSet (Index i)
	returns cluster i as ConformationSet More...

boost::shared_ptr< ConformationSet >	getReducedConformationSet ()
	returns a ConformationSet containing one structure per cluster More...

bool	refineClustering (Options const &refined_options)

Static Public Member Functions
rigid transformation methods
static float	getRigidRMSD (Eigen::Vector3f const &t_ab, Eigen::Matrix3f const &M_ab, Eigen::Matrix3f const &covariance_matrix)

static float	getSquaredRigidRMSD (Eigen::Vector3f const &t_ab, Eigen::Matrix3f const &M_ab, Eigen::Matrix3f const &covariance_matrix)

static Eigen::Matrix3f	computeCovarianceMatrix (System const &system, Index rmsd_level_of_detail=C_ALPHA)

Constant Definitions
typedef boost::adjacency_list< boost::vecS, boost::vecS, boost::directedS, ClusterProperties, boost::no_property, unsigned int >	ClusterTree

typedef ClusterTree::vertex_descriptor	ClusterTreeNode

	BALL_CREATE (PoseClustering)

	PoseClustering ()
	Default constructor. More...

	PoseClustering (ConformationSet *poses, float rmsd)

	PoseClustering (System const &base_system, String transformation_file_name)
	PoseClustering for a given set of rigid transformations of a base structure. More...

virtual	~PoseClustering ()

Public Attributes
Options	options
	options More...

void	setDefaultOptions ()

methods given a full clustering
Eigen::MatrixXd	pairwise_scores_

ConformationSet *	current_set_
	the ConformationSet we wish to cluster More...

std::vector< std::set< Index > >	clusters_
	the clusters: sets of pose indices More...

std::vector< Index >	cluster_representatives_

std::vector< float >	cluster_scores_
	the scores of the clusters More...

Index	rmsd_level_of_detail_
	the RMSD definition used for clustering More...

std::vector< PosePointer >	poses_

std::vector< RigidTransformation >	transformations_

Eigen::Matrix3f	covariance_matrix_

System	base_system_

SnapShot	base_conformation_

bool	has_rigid_transformations_

bool	delete_conformation_set_

std::vector< double >	lambda_

std::vector< int >	pi_

std::vector< double >	mu_

Size	number_of_selected_atoms_

std::vector< Vector3 >	com_

AtomBijection	atom_bijection_

System	system_i_

System	system_j_

ClusterTree	cluster_tree_
	The tree built during hierarchical clustering. More...

std::vector< std::set< Index > >	extractClustersForThreshold (float threshold, Size min_size=0)

std::vector< std::set< Index > >	extractNBestClusters (Size n)

std::vector< std::set< Index > >	filterClusters (Size min_size=1)

void	serializeWardClusterTree (std::ostream &out, bool binary=false)

void	deserializeWardClusterTree (std::istream &in, bool binary=false)

void	exportWardClusterTreeToGraphViz (std::ostream &out)

void	exportClusterTreeToJSON (std::ostream &out)

void	printClusters (std::ostream &out=std::cout) const

void	printClusterScores (std::ostream &out=std::cout)

bool	trivialCompute_ ()

bool	linearSpaceCompute_ ()

bool	althausCompute_ ()

void	slinkInner_ (int current_level)

void	clinkInner_ (int current_level)

bool	nearestNeighborChainCompute_ ()

void	initWardDistance_ (Index rmsd_type)

void	updateWardDistance_ (ClusterTreeNode parent, ClusterTreeNode i, ClusterTreeNode j, Index rmsd_type)

float	computeWardDistance_ (ClusterTreeNode i, ClusterTreeNode j, Index rmsd_type)

std::set< Index >	collectClusterBelow_ (ClusterTreeNode const &v)

void	computeCenterOfMasses_ ()

void	precomputeAtomBijection_ ()

float	getClusterRMSD_ (Index i, Index j, Index rmsd_type)

bool	readTransformationsFromFile_ (String filename)

float	getRMSD_ (Index i, Index j, Index rmsd_type)

void	storeSnapShotReferences_ ()

void	printCluster_ (Size i, std::ostream &out=std::cout) const

void	printVariables_ (int a, int b, double c, int d, double e, int current_level)

void	clear_ ()

void	exportToJSONDFS_ (ClusterTreeNode const &current, String &result)

static bool	isExcludedByLevelOfDetail_ (Atom const *atom, Index rmsd_level_of_detail)

Detailed Description

Computation of clusters of docking poses.

Pose Clustering

This class computes clusters of docking poses given as a conformation set using a complete linkage algorithm.

The class assumes the following setup

a pairwise rigid protein-protein docking
all receptor-ligand poses have already been mapped onto each other such that the "receptors" are kept fixed
the given pose set only contains the "ligands"

We offer several algorithms via the option CLUSTER_METHOD:

TRIVIAL_COMPLETE_LINKAGE: a naive implementation, that guarantees an optimal final partition.
CLINK_DEFAYS as described in D. Defays: An efficient algorithm for a complete link method. The Computer Journal. 20, 4, British Computer Society, 1977, p. 364-366. Please note that this implementation does not guarantee to find the best final clustering!
NEAREST_NEIGHBOR_CHAIN_WARD as described in Murtagh, Fionn (1983): "A survey of recent advances in hierarchical clustering algorithms", The Computer Journal 26 (4): 354–359
Note that this algorithm computes a full clustering.
SLINK_SIBSON as described in R. Sibson: SLINK: an optimally efficient algorithm for the single-link cluster method. The Computer Journal. 16, 1, British Computer Society, 1973, p. 30-34

The scope of the scoring (the atoms to be considered) can be defined via the option RMSD_LEVEL_OF_DETAIL. If the option is set to PROPERTY_BASED_ATOM_BIJECTION, arbitrary sets of atoms, e.g. binding pockets, can be used by assigning property named "ATOMBIJECTION_RMSD_SELECTION" to the respective atoms in the reference system. See also BALL::Expression.

The minimal rmsd or ward distance between the final clusters can be defined via option DISTANCE_THRESHOLD. In order to relate RMSD and ward distance, we use sqrt(ward_dist / number_of_selected_atoms) for threshold extraction.

The nearest neighbor chain ward clustering in principle computes a full clustering. Option DISTANCE_THRESHOLD gives a ward distance that is automatically used to extract clusters. Further extractions with different thresholds are possible.

The complete linkage algorithms guarantee a minimal cluster distance (max RMSD between all pairs of two clusters), specified with option DISTANCE_THRESHOLD.

The initial poses can be given as ConformationSet or as transformation file, i.e. translation and rotation of each pose. Depending on this choice, the option RMSD_TYPE has to be set to SNAPSHOT_RMSD or RIGID_RMSD. If RMSD_TYPE is set to CENTER_OF_MASS_DISTANCE, the option RMSD_LEVEL_OF_DETAIL will be ignored.

By setting the option RUN_PARALLEL to true, the user can request parallel execution. This will be performed if the execution environment is enabled (BALL_HAS_TBB), and if the algorithm supports it.

Definition at line 126 of file poseClustering.h.

Member Typedef Documentation

◆ ClusterTree

typedef boost::adjacency_list<boost::vecS, boost::vecS, boost::directedS, ClusterProperties, boost::no_property, unsigned int> BALL::PoseClustering::ClusterTree

Definition at line 277 of file poseClustering.h.

◆ ClusterTreeNode

typedef ClusterTree::vertex_descriptor BALL::PoseClustering::ClusterTreeNode

Definition at line 279 of file poseClustering.h.

Constructor & Destructor Documentation

◆ PoseClustering() [1/3]

BALL::PoseClustering::PoseClustering ( )

Default constructor.

Constructors and Destructor

◆ PoseClustering() [2/3]

BALL::PoseClustering::PoseClustering	(	ConformationSet *	poses,
		float	rmsd
	)

Detailed constructor. (TODO: really pass a pointer here?)

◆ PoseClustering() [3/3]

BALL::PoseClustering::PoseClustering	(	System const &	base_system,
		String	transformation_file_name
	)

PoseClustering for a given set of rigid transformations of a base structure.

◆ ~PoseClustering()

virtual BALL::PoseClustering::~PoseClustering ( )

virtual

Member Function Documentation

◆ althausCompute_()

bool BALL::PoseClustering::althausCompute_ ( )

protected

◆ applyTransformation2System()

void BALL::PoseClustering::applyTransformation2System	(	Index	i,
		System &	target_system
	)

apply a transformation to a given system

◆ BALL_CREATE()

BALL::PoseClustering::BALL_CREATE ( PoseClustering )

◆ clear_()

void BALL::PoseClustering::clear_ ( )

protected

◆ clinkInner_()

void BALL::PoseClustering::clinkInner_ ( int current_level )

protected

◆ collectClusterBelow_()

std::set<Index> BALL::PoseClustering::collectClusterBelow_ ( ClusterTreeNode const & v )

protected

◆ compute()

bool BALL::PoseClustering::compute ( )

start method.

◆ computeCenterOfMasses_()

void BALL::PoseClustering::computeCenterOfMasses_ ( )

protected

◆ computeCompleteLinkageRMSD()

float BALL::PoseClustering::computeCompleteLinkageRMSD	(	Index	i,
		Options	options,
		bool	initialize = `true`
	)

returns the complete linkage RMSD of cluster i

◆ computeCovarianceMatrix()

static Eigen::Matrix3f BALL::PoseClustering::computeCovarianceMatrix	(	System const &	system,
		Index	rmsd_level_of_detail = `C_ALPHA`
	)

static

Compute the covariance matrix for the given system

◆ computeWardDistance_()

float BALL::PoseClustering::computeWardDistance_	(	ClusterTreeNode	i,
		ClusterTreeNode	j,
		Index	rmsd_type
	)

protected

◆ convertSnaphots2Transformations()

void BALL::PoseClustering::convertSnaphots2Transformations ( )

convert the poses to rigid transformations

◆ convertTransformations2Snaphots()

void BALL::PoseClustering::convertTransformations2Snaphots ( )

convert the poses to SnapShots

◆ deserializeWardClusterTree()

void BALL::PoseClustering::deserializeWardClusterTree	(	std::istream &	in,
		bool	binary = `false`
	)

Import the cluster tree from boost::serialize format.

◆ exportClusterTreeToJSON()

void BALL::PoseClustering::exportClusterTreeToJSON ( std::ostream & out )

Export the cluster tree in JSON format.

◆ exportToJSONDFS_()

void BALL::PoseClustering::exportToJSONDFS_	(	ClusterTreeNode const &	current,
		String &	result
	)

protected

◆ exportWardClusterTreeToGraphViz()

void BALL::PoseClustering::exportWardClusterTreeToGraphViz ( std::ostream & out )

Export the cluster tree in graphviz format.

◆ extractClustersForThreshold()

std::vector<std::set<Index> > BALL::PoseClustering::extractClustersForThreshold	(	float	threshold,
		Size	min_size = `0`
	)

Extract clusters wrt a threshold if a complete clustering was performed Note: the Ward distance does not equal the rmsd. We use threshold = sqrt(ward_dist / number_of_selected_atoms). see NEAREST_NEIGHBOR_CHAIN_WARD

◆ extractNBestClusters()

std::vector<std::set<Index> > BALL::PoseClustering::extractNBestClusters ( Size n )

returns the first up to n clusters if previously a complete clustering was performed see NEAREST_NEIGHBOR_CHAIN_WARD

◆ filterClusters()

std::vector<std::set<Index> > BALL::PoseClustering::filterClusters ( Size min_size = 1 )

filters the current cluster set wrt to a minimal cluster size see NEAREST_NEIGHBOR_CHAIN_WARD

◆ findClusterRepresentative()

Index BALL::PoseClustering::findClusterRepresentative ( Index i )

returns the index of the cluster representative

◆ getAtomBijection() [1/2]

AtomBijection& BALL::PoseClustering::getAtomBijection ( )

inline

returns a reference to the cached AtomBijection

Definition at line 373 of file poseClustering.h.

◆ getAtomBijection() [2/2]

AtomBijection const& BALL::PoseClustering::getAtomBijection ( ) const

inline

returns a const reference to the cached AtomBijection

Definition at line 376 of file poseClustering.h.

◆ getCentersOfMass() [1/2]

std::vector<Vector3>& BALL::PoseClustering::getCentersOfMass ( )

inline

returns the centers of mass-vector (non-empty only for CENTER_OF_MASS_DISTANCE)

Definition at line 338 of file poseClustering.h.

◆ getCentersOfMass() [2/2]

std::vector<Vector3> const& BALL::PoseClustering::getCentersOfMass ( ) const

inline

returns the centers of mass-vector, const version (non-empty only for CENTER_OF_MASS_DISTANCE)

Definition at line 341 of file poseClustering.h.

◆ getCluster() [1/2]

std::set<Index>& BALL::PoseClustering::getCluster ( Index i )

returns indices of all poses assigned to cluster i Note: enumeration starts with 0

◆ getCluster() [2/2]

const std::set<Index>& BALL::PoseClustering::getCluster ( Index i ) const

returns indices of all poses assigned to cluster i Note: enumeration starts with 0

◆ getClusterConformationSet()

boost::shared_ptr<ConformationSet> BALL::PoseClustering::getClusterConformationSet ( Index i )

returns cluster i as ConformationSet

◆ getClusterRepresentative()

boost::shared_ptr<System> BALL::PoseClustering::getClusterRepresentative ( Index i )

returns the "central cluster" conformation of cluster i as system

◆ getClusterRMSD_()

float BALL::PoseClustering::getClusterRMSD_	(	Index	i,
		Index	j,
		Index	rmsd_type
	)

protected

◆ getClusterScore()

float BALL::PoseClustering::getClusterScore ( Index i ) const

returns the score of cluster i

◆ getClusterSize()

Size BALL::PoseClustering::getClusterSize ( Index i ) const

returns the size of cluster i

◆ getConformationSet() [1/2]

ConformationSet* BALL::PoseClustering::getConformationSet ( )

inline

returns the poses to be clustered as ConformationSet

Definition at line 332 of file poseClustering.h.

◆ getConformationSet() [2/2]

const ConformationSet* BALL::PoseClustering::getConformationSet ( ) const

inline

returns the poses to be clustered as ConformationSet

Definition at line 329 of file poseClustering.h.

◆ getNumberOfClusters()

Size BALL::PoseClustering::getNumberOfClusters ( ) const

inline

returns the number of clusters found

Definition at line 353 of file poseClustering.h.

◆ getNumberOfPoses()

Size BALL::PoseClustering::getNumberOfPoses ( ) const

inline

returns the number of poses

Definition at line 350 of file poseClustering.h.

◆ getPose()

boost::shared_ptr<System> BALL::PoseClustering::getPose ( Index i ) const

returns the complete linkage RMSD of a pose set

returns the pose i as system

◆ getPoses()

std::vector<PosePointer> const& BALL::PoseClustering::getPoses ( ) const

inline

returns poses as PosePointer

Definition at line 397 of file poseClustering.h.

◆ getReducedConformationSet()

boost::shared_ptr<ConformationSet> BALL::PoseClustering::getReducedConformationSet ( )

returns a ConformationSet containing one structure per cluster

◆ getRigidRMSD()

static float BALL::PoseClustering::getRigidRMSD	(	Eigen::Vector3f const &	t_ab,
		Eigen::Matrix3f const &	M_ab,
		Eigen::Matrix3f const &	covariance_matrix
	)

static

Compute the root mean square deviation due to a rigid transformation of a point cloud (here, atoms)

Parameters

t_ab	difference vector between the transformations to be compared
M_ab	difference of the rotation matrices between the transformations to be compared
covariance_matrix	the covariance matrix of the atom positions

◆ getRigidTransformations()

const std::vector<RigidTransformation>& BALL::PoseClustering::getRigidTransformations ( ) const

inline

returns the poses as rigid transformations

Definition at line 335 of file poseClustering.h.

◆ getRMSD_()

float BALL::PoseClustering::getRMSD_	(	Index	i,
		Index	j,
		Index	rmsd_type
	)

protected

◆ getScore()

float BALL::PoseClustering::getScore	(	const System	sys_a,
		const System	sys_b,
		Options	options
	)		const

returns the score between two poses given as systems

◆ getSquaredRigidRMSD()

static float BALL::PoseClustering::getSquaredRigidRMSD	(	Eigen::Vector3f const &	t_ab,
		Eigen::Matrix3f const &	M_ab,
		Eigen::Matrix3f const &	covariance_matrix
	)

static

Compute the mean square deviation due to a rigid transformation of a point cloud (here, atoms)

Parameters

t_ab	difference vector between the transformations to be compared
M_ab	difference of the rotation matrices between the transformations to be compared
covariance_matrix	the covariance matrix of the atom positions

◆ getSystem() [1/2]

System& BALL::PoseClustering::getSystem ( )

returns the reference pose

◆ getSystem() [2/2]

const System& BALL::PoseClustering::getSystem ( ) const

returns the reference pose

◆ initWardDistance_()

void BALL::PoseClustering::initWardDistance_ ( Index rmsd_type )

protected

◆ isExcludedByLevelOfDetail_()

static bool BALL::PoseClustering::isExcludedByLevelOfDetail_	(	Atom const *	atom,
		Index	rmsd_level_of_detail
	)

staticprotected

◆ linearSpaceCompute_()

bool BALL::PoseClustering::linearSpaceCompute_ ( )

protected

◆ nearestNeighborChainCompute_()

bool BALL::PoseClustering::nearestNeighborChainCompute_ ( )

protected

◆ precomputeAtomBijection_()

void BALL::PoseClustering::precomputeAtomBijection_ ( )

protected

◆ printCluster_()

void BALL::PoseClustering::printCluster_	(	Size	i,
		std::ostream &	out = `std::cout`
	)		const

protected

◆ printClusters()

void BALL::PoseClustering::printClusters ( std::ostream & out = std::cout ) const

print the clusters as set of pose indices Note: start counting with 0

◆ printClusterScores()

void BALL::PoseClustering::printClusterScores ( std::ostream & out = std::cout )

print clusters of pose indices with RMSD between clusters Note: start counting with 0

◆ printVariables_()

void BALL::PoseClustering::printVariables_	(	int	a,
		int	b,
		double	c,
		int	d,
		double	e,
		int	current_level
	)

protected

◆ readTransformationsFromFile_()

bool BALL::PoseClustering::readTransformationsFromFile_ ( String filename )

protected

◆ refineClustering()

bool BALL::PoseClustering::refineClustering ( Options const & refined_options )

Refine a given clustering. This function can be used to refine a precomputed clustering further. An important use case would be to pre-cluster using an efficient rmsd implementation (e.g., center of mass or rigid rmsd), and then refine the resulting clusters with the general (i.e., snapshot based) rmsd.

NOTE: This function requires that clusters have already been computed. In the case of a full hierarchical clustering, extractClustersForThreshold or extractNBestClusters must have been called previously.

Parameters

refined_options The parameters for the refinment step.

◆ serializeWardClusterTree()

void BALL::PoseClustering::serializeWardClusterTree	(	std::ostream &	out,
		bool	binary = `false`
	)

Export the cluster tree to boost::serialize format.

◆ setBaseSystemAndPoses()

void BALL::PoseClustering::setBaseSystemAndPoses	(	System const &	base_system,
		std::vector< PosePointer > const &	poses
	)

Set a vector of PosePointers to be clustered Poses (RigidTransformations or SnapShots) can live outside of this class and will not be destroyed.

◆ setBaseSystemAndTransformations()

void BALL::PoseClustering::setBaseSystemAndTransformations	(	System const &	base_system,
		String	transformation_file_name
	)

reads the poses given as transformations from a file and update the covariance matrix
Note: the given system will be taken as reference, e.g. all transformations

◆ setConformationSet()

void BALL::PoseClustering::setConformationSet	(	ConformationSet *	new_set,
		bool	precompute_atombijection = `false`
	)

sets the poses to be clustered, the conformation set's reference system will the base system

◆ setDefaultOptions()

void BALL::PoseClustering::setDefaultOptions ( )

reset the options to default values

◆ slinkInner_()

void BALL::PoseClustering::slinkInner_ ( int current_level )

protected

◆ storeSnapShotReferences_()

void BALL::PoseClustering::storeSnapShotReferences_ ( )

protected

◆ trivialCompute_()

bool BALL::PoseClustering::trivialCompute_ ( )

protected

◆ updateWardDistance_()

void BALL::PoseClustering::updateWardDistance_	(	ClusterTreeNode	parent,
		ClusterTreeNode	i,
		ClusterTreeNode	j,
		Index	rmsd_type
	)

protected

Member Data Documentation

◆ atom_bijection_

AtomBijection BALL::PoseClustering::atom_bijection_

protected

Definition at line 733 of file poseClustering.h.

◆ base_conformation_

SnapShot BALL::PoseClustering::base_conformation_

protected

Definition at line 698 of file poseClustering.h.

◆ base_system_

System BALL::PoseClustering::base_system_

protected

Definition at line 695 of file poseClustering.h.

◆ cluster_representatives_

std::vector< Index > BALL::PoseClustering::cluster_representatives_

protected

Definition at line 676 of file poseClustering.h.

◆ cluster_scores_

std::vector< float > BALL::PoseClustering::cluster_scores_

protected

the scores of the clusters

Definition at line 679 of file poseClustering.h.

◆ cluster_tree_

ClusterTree BALL::PoseClustering::cluster_tree_

protected

The tree built during hierarchical clustering.

Definition at line 740 of file poseClustering.h.

◆ clusters_

std::vector< std::set<Index> > BALL::PoseClustering::clusters_

protected

the clusters: sets of pose indices

Definition at line 674 of file poseClustering.h.

◆ com_

std::vector<Vector3> BALL::PoseClustering::com_

protected

Definition at line 726 of file poseClustering.h.

◆ covariance_matrix_

Eigen::Matrix3f BALL::PoseClustering::covariance_matrix_

protected

Definition at line 692 of file poseClustering.h.

◆ current_set_

ConformationSet* BALL::PoseClustering::current_set_

protected

the ConformationSet we wish to cluster

Definition at line 671 of file poseClustering.h.

◆ delete_conformation_set_

bool BALL::PoseClustering::delete_conformation_set_

protected

Definition at line 705 of file poseClustering.h.

◆ has_rigid_transformations_

bool BALL::PoseClustering::has_rigid_transformations_

protected

Definition at line 701 of file poseClustering.h.

◆ lambda_

std::vector<double> BALL::PoseClustering::lambda_

protected

Definition at line 711 of file poseClustering.h.

◆ mu_

std::vector<double> BALL::PoseClustering::mu_

protected

Definition at line 717 of file poseClustering.h.

◆ number_of_selected_atoms_

Size BALL::PoseClustering::number_of_selected_atoms_

protected

Definition at line 721 of file poseClustering.h.

◆ options

Options BALL::PoseClustering::options

options

Definition at line 432 of file poseClustering.h.

◆ pairwise_scores_

Eigen::MatrixXd BALL::PoseClustering::pairwise_scores_

protected

Definition at line 668 of file poseClustering.h.

◆ pi_

std::vector<int> BALL::PoseClustering::pi_

protected

Definition at line 715 of file poseClustering.h.

◆ poses_

std::vector<PosePointer> BALL::PoseClustering::poses_

protected

Definition at line 687 of file poseClustering.h.

◆ rmsd_level_of_detail_

Index BALL::PoseClustering::rmsd_level_of_detail_

protected

the RMSD definition used for clustering

Definition at line 682 of file poseClustering.h.

◆ system_i_

System BALL::PoseClustering::system_i_

protected

Definition at line 736 of file poseClustering.h.

◆ system_j_

System BALL::PoseClustering::system_j_

protected

Definition at line 737 of file poseClustering.h.

◆ transformations_

std::vector<RigidTransformation> BALL::PoseClustering::transformations_

protected

Definition at line 690 of file poseClustering.h.

Classes

Public Member Functions

Static Public Member Functions

Constant Definitions

Public Attributes

methods given a full clustering

Detailed Description

Member Typedef Documentation

◆ ClusterTree

◆ ClusterTreeNode

Constructor & Destructor Documentation

◆ PoseClustering() [1/3]

◆ PoseClustering() [2/3]

◆ PoseClustering() [3/3]

◆ ~PoseClustering()

Member Function Documentation

◆ althausCompute_()

◆ applyTransformation2System()

◆ BALL_CREATE()

◆ clear_()

◆ clinkInner_()

◆ collectClusterBelow_()

◆ compute()

◆ computeCenterOfMasses_()

◆ computeCompleteLinkageRMSD()

◆ computeCovarianceMatrix()

◆ computeWardDistance_()

◆ convertSnaphots2Transformations()

◆ convertTransformations2Snaphots()

◆ deserializeWardClusterTree()

◆ exportClusterTreeToJSON()

◆ exportToJSONDFS_()

◆ exportWardClusterTreeToGraphViz()

◆ extractClustersForThreshold()

◆ extractNBestClusters()

◆ filterClusters()

◆ findClusterRepresentative()

◆ getAtomBijection() [1/2]

◆ getAtomBijection() [2/2]

◆ getCentersOfMass() [1/2]

◆ getCentersOfMass() [2/2]

◆ getCluster() [1/2]

◆ getCluster() [2/2]

◆ getClusterConformationSet()

◆ getClusterRepresentative()

◆ getClusterRMSD_()

◆ getClusterScore()

◆ getClusterSize()

◆ getConformationSet() [1/2]

◆ getConformationSet() [2/2]

◆ getNumberOfClusters()

◆ getNumberOfPoses()

◆ getPose()

◆ getPoses()

◆ getReducedConformationSet()

◆ getRigidRMSD()

◆ getRigidTransformations()

◆ getRMSD_()

◆ getScore()

◆ getSquaredRigidRMSD()

◆ getSystem() [1/2]

◆ getSystem() [2/2]

◆ initWardDistance_()

◆ isExcludedByLevelOfDetail_()

◆ linearSpaceCompute_()

◆ nearestNeighborChainCompute_()

◆ precomputeAtomBijection_()

◆ printCluster_()

◆ printClusters()

◆ printClusterScores()

◆ printVariables_()

◆ readTransformationsFromFile_()

◆ refineClustering()

◆ serializeWardClusterTree()

◆ setBaseSystemAndPoses()

◆ setBaseSystemAndTransformations()

◆ setConformationSet()

◆ setDefaultOptions()

◆ slinkInner_()

◆ storeSnapShotReferences_()