Prediction of protein structural classes using hybrid properties

Molecular Diversity

Volumn 12, Issue 3-4, 2008, Pages 171-179

  Li, Wenjin ^a   Lin, Kao ^a   Feng, Kaiyan ^b   Cai, Yudong ^a  

^a Shanghai Jiao Tong University Affiliated Sixth People s Hospital   (China)

^b UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

Amino acid compositions; MRMR (Minimum Redundancy, Maximum Relevance); Nearest neighbor algorithm; Physiochemical properties; Protein structural class

Indexed keywords

HYBRID PROTEIN; AMINO ACID; PROTEIN;

ALGORITHM; AMINO ACID COMPOSITION; AMINO ACID SEQUENCE; ARTICLE; MATHEMATICAL MODEL; PRIORITY JOURNAL; PROTEIN STRUCTURE; REDUNDANCY ANALYSIS; STATISTICAL SIGNIFICANCE; CHEMISTRY; CLASSIFICATION; HYDROPHOBICITY; PHYSICAL CHEMISTRY; PROTEIN DATABASE;

ALGORITHMS; AMINO ACIDS; CHEMISTRY, PHYSICAL; DATABASES, PROTEIN; HYDROPHOBICITY; PROTEINS;

EID: 60549098659     PISSN: 13811991     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11030-008-9093-9     Document Type: Article

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