SCOPUS 정보 검색 플랫폼

Volumn 32, Issue 9-10, 2013, Pages 783-792

Development of qsar-improved statistical potential for the structure-based analysis of protein peptide binding affinities

(3) Han, Ke Qiang a Wu, Gang b Lv, Fenglin c

a THIRD MILITARY MEDICAL UNIVERSITY (China)

b THIRD MILITARY MEDICAL UNIVERSITY (China)

c CHONGQING UNIVERSITY (China)

Author keywords

Binding affinity; Knowledge based statistical potential; Protein peptide interaction; Quantitative structure activity relationship

Indexed keywords

BINDING ENERGY; COMPLEX NETWORKS; COMPUTATIONAL CHEMISTRY; CRYSTAL STRUCTURE; DIAGNOSIS; DISSOCIATION; KNOWLEDGE BASED SYSTEMS; LEAST SQUARES APPROXIMATIONS; SIGNALING; STATISTICS;

BINDING AFFINITIES; KNOWLEDGE BASED; KNOWLEDGE-BASED STATISTICAL POTENTIAL; PEPTIDE COMPLEX; PROTEIN-PEPTIDE BINDING; PROTEIN-PEPTIDE INTERACTIONS; PROTEINS PEPTIDES; QUANTITATIVE STRUCTURE ACTIVITY RELATIONSHIP; STATISTICAL POTENTIAL; STRUCTURE-BASED;

PEPTIDES;

ARTICLE; BINDING AFFINITY; CRYSTAL STRUCTURE; HYDROGEN BOND; INTRACELLULAR SIGNALING; MOLECULAR DOCKING; MOLECULAR MECHANICS; MONTE CARLO METHOD; PARTIAL LEAST SQUARES REGRESSION; PREDICTION; PRIORITY JOURNAL; PROTEIN ANALYSIS; PROTEIN PROTEIN INTERACTION; PROTEIN STRUCTURE; QUANTITATIVE STRUCTURE ACTIVITY RELATION;

EID: 84898774102 PISSN: 18681743 EISSN: 18681751 Source Type: Journal
DOI: 10.1002/minf.201300064 Document Type: Article

Times cited : (23)

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