Prediction of lipid-interacting amino acid residues from sequence features

International Journal of Computational Biology and Drug Design

Volumn 1, Issue 1, 2008, Pages 14-25

  Wang, Liangjiang ^a   Irausquin, Stephanie J ^a   Yang, Jack Y ^b  

^a CLEMSON UNIVERSITY   (United States)

^b HARVARD UNIVERSITY   (United States)

Author keywords

biochemical features; lipid interacting residues; machine learning; sequence based prediction; Support Vector Machines; SVMs

Indexed keywords

AMINO ACID; LIPID; MEMBRANE PROTEIN;

AMINO ACID SEQUENCE; ARTICLE; ARTIFICIAL INTELLIGENCE; BINDING SITE; BIOLOGY; CHEMICAL STRUCTURE; CHEMISTRY; COMPUTER SIMULATION; DRUG DEVELOPMENT; LIPID METABOLISM; METABOLISM; PROTEIN DATABASE; PROTEIN TERTIARY STRUCTURE; RECEIVER OPERATING CHARACTERISTIC; VALIDATION STUDY;

AMINO ACID SEQUENCE; AMINO ACIDS; ARTIFICIAL INTELLIGENCE; BINDING SITES; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; DATABASES, PROTEIN; DRUG DISCOVERY; LIPID METABOLISM; LIPIDS; MEMBRANE PROTEINS; MODELS, MOLECULAR; PROTEIN STRUCTURE, TERTIARY; ROC CURVE;

EID: 77449099952     PISSN: 17560756     EISSN: 17560764     Source Type: Journal    
DOI: 10.1504/IJCBDD.2008.018707     Document Type: Article

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