TargetATPsite: A template-free method for ATP-binding sites prediction with residue evolution image sparse representation and classifier ensemble

Journal of Computational Chemistry

Volumn 34, Issue 11, 2013, Pages 974-985

  Yu, Dong Jun ^a,c   Hu, Jun ^a   Huang, Yan ^b   Shen, Hong Bin ^c,d   Qi, Yong ^a   Tang, Zhen Min ^a   Yang, Jing Yu ^a  

^a NANJING UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b SHANGHAI INSTITUTE OF TECHNICAL PHYSICS   (China)

^c SHANGHAI JIAO TONG UNIVERSITY   (China)

^d UNIVERSITY OF MICHIGAN MEDICAL SCHOOL   (United States)

Author keywords

classifier ensemble; protein functional annotation; protein ATP binding sites prediction; residue evolution image; sparse representation

Indexed keywords

BENCHMARK DATASETS; CLASSIFIER ENSEMBLES; ENSEMBLE CLASSIFIERS; FUNCTIONAL ANNOTATION; PROTEIN FUNCTION ANNOTATION; RESIDUE EVOLUTION IMAGE; SPARSE REPRESENTATION; TEMPLATE FREE METHOD;

CLUSTERING ALGORITHMS; PROTEINS; SUPPORT VECTOR MACHINES;

FORECASTING;

ADENOSINE TRIPHOSPHATE; LIGAND; PROTEIN;

ARTICLE; BINDING SITE; CHEMISTRY; COMPUTER PROGRAM; DRUG DESIGN; HUMAN; MOLECULAR DYNAMICS; PROTEIN BINDING; PROTEIN DATABASE; SUPPORT VECTOR MACHINE; THERMODYNAMICS;

ADENOSINE TRIPHOSPHATE; BINDING SITES; DATABASES, PROTEIN; DRUG DESIGN; HUMANS; LIGANDS; MOLECULAR DYNAMICS SIMULATION; PROTEIN BINDING; PROTEINS; SOFTWARE; SUPPORT VECTOR MACHINES; THERMODYNAMICS;

EID: 84875365172     PISSN: 01928651     EISSN: 1096987X     Source Type: Journal    
DOI: 10.1002/jcc.23219     Document Type: Article

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