Exploiting three kinds of interface propensities to identify protein binding sites

Computational Biology and Chemistry

Volumn 33, Issue 4, 2009, Pages 303-311

  Liu, Bin ^a   Wang, Xiaolong ^a   Lin, Lei ^a   Dong, Qiwen ^a   Wang, Xuan ^a  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Profile; Protein binding sites; Support vector machines

Indexed keywords

ACCESSIBLE SURFACE AREAS; BUILDING BLOCKES; COMPUTATIONAL BIOLOGY; DOMAIN BOUNDARY; EVOLUTIONARY INFORMATION; FREQUENCY PROFILES; PROFILE; PROTEIN BINDING SITES; PROTEIN SEQUENCES; REMOTE HOMOLOGY; SEQUENCE ALIGNMENTS; TRANSIENT COMPLEXES;

BINDING ENERGY; BIOCHEMISTRY; BIOINFORMATICS; BIOLOGY; IMAGE RETRIEVAL; KNOWLEDGE BASED SYSTEMS; LASER PULSES; PROTEINS; SUPPORT VECTOR MACHINES;

BINDING SITES;

PROTEIN;

AMINO ACID SEQUENCE; ARTICLE; BINDING SITE; CHEMICAL STRUCTURE; CHEMISTRY; COMPUTER SIMULATION; GENETICS; METABOLISM; MOLECULAR GENETICS; PROTEIN BINDING; SEQUENCE ALIGNMENT;

AMINO ACID SEQUENCE; BINDING SITES; COMPUTER SIMULATION; MODELS, MOLECULAR; MOLECULAR SEQUENCE DATA; PROTEIN BINDING; PROTEINS; SEQUENCE ALIGNMENT;

EID: 68749110968     PISSN: 14769271     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiolchem.2009.07.001     Document Type: Article

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