Fine-grained protein fold assignment by support vector machines using generalized npeptide coding schemes and jury voting from multiple-parameter sets

Proteins: Structure, Function and Genetics

Volumn 50, Issue 4, 2003, Pages 531-536

  Yu, Chin Sheng ^a   Wang, Jung Ying ^b   Yang, Jinn Moon ^a   Lyu, Ping Chiang ^c   Lin, Chih Jen ^b   Hwang, Jenn Kang ^a  

^a NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

^b NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^c NATIONAL TSING HUA UNIVERSITY   (Taiwan)

Author keywords

Fine grained fold prediction; Global sequence coding scheme; N peptide; Support vector machines

Indexed keywords

PEPTIDE;

AMINO ACID COMPOSITION; AMINO ACID SEQUENCE; ARTICLE; HYDROPHOBICITY; MATHEMATICAL MODEL; PRIORITY JOURNAL; PROTEIN FOLDING; PROTEIN SECONDARY STRUCTURE; PROTEIN STRUCTURE;

ANIMALS; HYDROPHOBICITY; PEPTIDES; PROTEIN FOLDING; PROTEIN STRUCTURE, SECONDARY; PROTEINS; REPRODUCIBILITY OF RESULTS; SEQUENCE ANALYSIS, PROTEIN;

EID: 0037341893     PISSN: 08873585     EISSN: None     Source Type: Journal    
DOI: 10.1002/prot.10313     Document Type: Article

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