Identifying GPCRs and their types with Chou's pseudo amino acid composition: An approach from multi-scale energy representation and position specific scoring matrix

Protein and Peptide Letters

Volumn 19, Issue 8, 2012, Pages 890-903

  Zia ur Rehman, ^a   Khan, Asifullah ^a  

^a PAKISTAN INSTITUTE OF ENGINEERING AND APPLIED SCIENCES   (Pakistan)

Author keywords

GPCR prediction; Grey incidence degree; Nearest neighbor; Position specific scoring matrix; Probabilistic neural network; Support vector machine

Indexed keywords

G PROTEIN COUPLED RECEPTOR;

AMINO ACID SEQUENCE; ARTICLE; ARTIFICIAL NEURAL NETWORK; CLASSIFICATION ALGORITHM; CONTROLLED STUDY; EVOLUTIONARY ALGORITHM; GENETIC ALGORITHM; INTERMETHOD COMPARISON; JACKKNIFE TEST; K NEAREST NEIGHBOR; MULTISCALE ENERGY REPRESENTATION TECHNIQUE; POSITION WEIGHT MATRIX; PREDICTION; PROCESS DEVELOPMENT; PROCESS OPTIMIZATION; PROTEIN DETERMINATION; PSEUDO AMINO ACID COMPOSITION TECHNIQUE; SUPPORT VECTOR MACHINE; VALIDATION PROCESS;

ALGORITHMS; AMINO ACIDS; COMPUTATIONAL BIOLOGY; DATABASES, PROTEIN; EVOLUTION, MOLECULAR; NEURAL NETWORKS (COMPUTER); POSITION-SPECIFIC SCORING MATRICES; RECEPTORS, G-PROTEIN-COUPLED; SEQUENCE ANALYSIS, PROTEIN; SOFTWARE; SUPPORT VECTOR MACHINES;

EID: 84865373769     PISSN: 09298665     EISSN: None     Source Type: Journal    
DOI: 10.2174/092986612801619589     Document Type: Article

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