A compound-based computational approach for the accurate determination of hot spots

Protein Science

Volumn 22, Issue 8, 2013, Pages 1060-1070

  Wang, Lincong ^a   Hou, Yaqin ^b   Quan, Haihua ^b   Xu, Weiwei ^b   Bao, Yongli ^b   Li, Yuxin ^b   Fu, Yuan ^a   Zou, Shuxue ^a  

^a JILIN UNIVERSITY   (China)

^b NORTHEAST NORMAL UNIVERSITY   (China)

Author keywords

Activin receptor; Activin signal pathway and nodal signal pathway; Cripto I; Hot spot; Hot spot prediction; Protein ligand docking; Protein protein docking; Protein protein interaction; Scoring function

Indexed keywords

ACTIVIN RECEPTOR; ALANINE; ALANTOLACTONE;

ACCURACY; ARTICLE; BINDING SITE; MOLECULAR DOCKING; MOLECULE; MUTAGENESIS; POINT MUTATION; PRIORITY JOURNAL; PROTEIN ANALYSIS; PROTEIN PROTEIN INTERACTION; SIGNAL TRANSDUCTION; STRUCTURE BASED COMPUTATIONAL APPROACH;

ACTIVIN RECEPTOR; ACTIVIN SIGNAL PATHWAY AND NODAL SIGNAL PATHWAY; CRIPTO-I; HOT SPOT; HOT-SPOT PREDICTION; PROTEIN-LIGAND DOCKING; PROTEIN-PROTEIN DOCKING; PROTEIN-PROTEIN INTERACTION; SCORING FUNCTION;

ACTIVIN RECEPTORS, TYPE II; ACTIVINS; AMINO ACID SEQUENCE; BINDING SITES; DATABASES, PROTEIN; GPI-LINKED PROTEINS; HEK293 CELLS; HUMANS; INTERCELLULAR SIGNALING PEPTIDES AND PROTEINS; MODELS, MOLECULAR; MOLECULAR DOCKING SIMULATION; MOLECULAR SEQUENCE DATA; NEOPLASM PROTEINS; PROTEIN BINDING; PROTEIN CONFORMATION; PROTEIN INTERACTION MAPPING; SEQUENCE ALIGNMENT; SIGNAL TRANSDUCTION;

EID: 84881285169     PISSN: 09618368     EISSN: 1469896X     Source Type: Journal    
DOI: 10.1002/pro.2296     Document Type: Article

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