Prediction of protein structural class based on gapped-dipeptides and a recursive feature selection approach

International Journal of Molecular Sciences

Volumn 17, Issue 1, 2016, Pages

  Liu, Taigang ^a   Qin, Yufang ^a   Wang, Yongjie ^a   Wang, Chunhua ^a  

^a SHANGHAI OCEAN UNIVERSITY   (China)

Author keywords

Feature selection; Gapped dipeptide; Position specific score matrix; Protein structural class; Recursive feature elimination; Support vector machine

Indexed keywords

DIPEPTIDE;

AMINO ACID COMPOSITION; AMINO ACID SEQUENCE; ARTICLE; INFORMATION PROCESSING; MATHEMATICAL COMPUTING; PATTERN RECOGNITION; POSITION SPECIFIC SCORE MATRIX; PROTEIN DOMAIN; PROTEIN TERTIARY STRUCTURE; RECURSIVE FEATURE ELIMINATION; SEQUENCE HOMOLOGY; STRUCTURAL BIOINFORMATICS; SUPPORT VECTOR MACHINE; VALIDATION PROCESS; CHEMISTRY; PROCEDURES; PROTEIN CONFORMATION; SEQUENCE ANALYSIS; SOFTWARE;

DIPEPTIDES; PROTEIN CONFORMATION; SEQUENCE ANALYSIS, PROTEIN; SOFTWARE;

EID: 84951757220     PISSN: 16616596     EISSN: 14220067     Source Type: Journal    
DOI: 10.3390/ijms17010015     Document Type: Article

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