Protein-protein binding affinity prediction based on an SVR ensemble

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7389 LNCS, Issue , 2012, Pages 145-151

  Li, Xueling ^a   Zhu, Min ^a   Li, Xiaolai ^a   Wang, Hong Qiang ^a   Wang, Shulin ^b  

^a INSTITUTE OF INTELLIGENT MACHINES   (China)

^b HUNAN UNIVERSITY   (China)

Author keywords

machine learning; potential of mean force; Protein protein interaction affinity; two layer support vector machine

Indexed keywords

DESCRIPTORS; HETEROGENEOUS DATA; INPUT FEATURES; LEAVE-ONE-OUT; MACHINE LEARNING METHODS; POTENTIAL OF MEAN FORCE; PREDICTION-BASED; PROTEIN DOCKING; PROTEIN-PROTEIN BINDING; PROTEIN-PROTEIN INTERACTIONS; SECOND LAYER; STATE-OF-ART METHODS; SUBNETWORKS; SUPPORT VECTOR REGRESSION (SVR);

BINDING ENERGY; BIOCHEMISTRY; FORECASTING; INTELLIGENT COMPUTING; LEARNING SYSTEMS;

PROTEINS;

EID: 84865305788     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-31588-6_19     Document Type: Conference Paper

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