Feature selection and classification of protein-protein complexes based on their binding affinities using machine learning approaches

Proteins: Structure, Function and Bioinformatics

Volumn 82, Issue 9, 2014, Pages 2088-2096

  Yugandhar, K ^a   Gromiha, M Michael ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY MADRAS   (India)

Author keywords

Binding affinity; Discrimination; Feature selection; Machine learning techniques; Protein protein interactions

Indexed keywords

AMINO ACID; LIGAND; PROTEIN; PROTEIN PROTEIN COMPLEX; UNCLASSIFIED DRUG; MULTIPROTEIN COMPLEX; PROTEIN BINDING;

AMINO ACID SEQUENCE; AREA UNDER THE CURVE; ARTICLE; BINDING AFFINITY; BINDING SITE; HOST PATHOGEN INTERACTION; PH; PRIORITY JOURNAL; PROTEIN BINDING; PROTEIN PROTEIN INTERACTION; PROTEIN SECONDARY STRUCTURE; RANDOM FOREST; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE; TEMPERATURE; ALGORITHM; ARTIFICIAL INTELLIGENCE; BIOLOGY; CHEMICAL STRUCTURE; CLASSIFICATION; METABOLISM; PROTEIN DATABASE;

ALGORITHMS; AMINO ACID SEQUENCE; ARTIFICIAL INTELLIGENCE; COMPUTATIONAL BIOLOGY; DATABASES, PROTEIN; MODELS, MOLECULAR; MULTIPROTEIN COMPLEXES; PROTEIN BINDING; PROTEINS; SUPPORT VECTOR MACHINES;

EID: 84906310378     PISSN: 08873585     EISSN: 10970134     Source Type: Journal    
DOI: 10.1002/prot.24564     Document Type: Article

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