Two-stage support vector regression approach for predicting accessible surface areas of amino acids

Proteins: Structure, Function and Genetics

Volumn 63, Issue 3, 2006, Pages 542-550

  Nguyen, Minh N ^a   Rajapakse, Jagath C ^a,b  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Accessible surface area; Protein structure prediction; PSI BLAST; Solvent accessibility; Support vector regression

Indexed keywords

AMINO ACID; SOLVENT;

AMINO ACID SEQUENCE; ANALYTICAL ERROR; ARTICLE; ARTIFICIAL NEURAL NETWORK; CLIENT SERVER APPLICATION; CORRELATION COEFFICIENT; DATA BASE; INTERNET; PREDICTION; PRIORITY JOURNAL; PROTEIN PROTEIN INTERACTION; SCORING SYSTEM; SUPPORT VECTOR MACHINE; SURFACE AREA; SURFACE PROPERTY;

AMINO ACIDS; DATABASES, PROTEIN; FORECASTING; SURFACE PROPERTIES;

EID: 33646036734     PISSN: 08873585     EISSN: 10970134     Source Type: Journal    
DOI: 10.1002/prot.20883     Document Type: Article

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