Accurate prediction of hot spot residues through physicochemical characteristics of amino acid sequences

Proteins: Structure, Function and Bioinformatics

Volumn 81, Issue 8, 2013, Pages 1351-1362

  Chen, Peng ^a   Li, Jinyan ^b   Wong, Limsoon ^c   Kuwahara, Hiroyuki ^a   Huang, Jianhua Z ^d   Gao, Xin ^a  

^a KING ABDULLAH UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Saudi Arabia)

^b UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

^c NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^d TEXAS A AND M UNIVERSITY   (United States)

Author keywords

Classification; Feature selection; Hot spot residue; Physicochemical characteristic; Protein protein interaction

Indexed keywords

AMINO ACID;

ACCURACY; AMINO ACID SEQUENCE; ARTICLE; BETA TURN; CLASSIFICATION ALGORITHM; CLASSIFIER; COMPARATIVE STUDY; CONTROLLED STUDY; EVALUATION; HYDROPHOBICITY; K NEAREST NEIGHBOR; PHYSICAL CHEMISTRY; PREDICTION; PRIORITY JOURNAL; PROTEIN SECONDARY STRUCTURE;

CLASSIFICATION; FEATURE SELECTION; HOT SPOT RESIDUE; PHYSICOCHEMICAL CHARACTERISTIC; PROTEIN-PROTEIN INTERACTION;

ALGORITHMS; AMINO ACID SEQUENCE; AMINO ACIDS; ANIMALS; ARTIFICIAL INTELLIGENCE; DATABASES, PROTEIN; DROSOPHILA; DROSOPHILA PROTEINS; HUMANS; JUVENILE HORMONES; MODELS, MOLECULAR; PROTEIN INTERACTION MAPS; PROTEINS; RECEPTORS, ERYTHROPOIETIN;

EID: 84880667308     PISSN: 08873585     EISSN: 10970134     Source Type: Journal    
DOI: 10.1002/prot.24278     Document Type: Article

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