Support vector machines for learning to identify the critical positions of a protein

Journal of Theoretical Biology

Volumn 234, Issue 3, 2005, Pages 351-361

  Dubey, Anshul ^a   Realff, Matthew J ^a   Lee, Jay H ^a   Bommarius, Andreas S ^a  

^a Georgia Institute of Technology   (United States)

Author keywords

Amino acid sequence; Directed evolution; Identifying critical positions; Machine learning; Support vector machines; Lactamase

Indexed keywords

BETA LACTAMASE;

AMINO ACID; ENZYME; IDENTIFICATION METHOD;

ALGORITHM; AMINO ACID SEQUENCE; ANALYTIC METHOD; ARTICLE; COMPUTER MODEL; GENETIC RECOMBINATION; MATHEMATICAL ANALYSIS; MUTAGENESIS; PRIORITY JOURNAL; PROTEIN VARIANT; VALIDATION PROCESS;

EID: 15244358006     PISSN: 00225193     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jtbi.2004.11.037     Document Type: Article

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