Prediction of transporter family from protein sequence by support vector machine approach

Proteins: Structure, Function and Genetics

Volumn 62, Issue 1, 2006, Pages 218-231

  Lin, H H ^a   Han, L Y ^a   Cai, C Z ^a   Ji, Z L ^b   Chen, Y Z ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b XIAMEN UNIVERSITY   (China)

Author keywords

Channel; Support vector machine; Transporter

Indexed keywords

ACCURACY; AMINO ACID SEQUENCE; ARTICLE; CELL METABOLISM; CELL TRANSPORT; COMPUTER PROGRAM; DRUG DELIVERY SYSTEM; PREDICTION; PRIORITY JOURNAL; PROTEIN ANALYSIS; PROTEIN FAMILY; PROTEIN FUNCTION; SEQUENCE ALIGNMENT; SEQUENCE HOMOLOGY; SUPPORT VECTOR MACHINE;

AMINO ACID SEQUENCE; CARRIER PROTEINS; KINETICS; MODELS, MOLECULAR; MOLECULAR SEQUENCE DATA; PROBABILITY; PROTEIN CONFORMATION; PROTEIN-TYROSINE KINASES; SEQUENCE ALIGNMENT; SEQUENCE HOMOLOGY, AMINO ACID;

EID: 30344471071     PISSN: 08873585     EISSN: None     Source Type: Journal    
DOI: 10.1002/prot.20605     Document Type: Article

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