Predicting G-protein-coupled receptors families using different physiochemical properties and pseudo amino acid composition

Methods in Enzymology

Volumn 522, Issue , 2013, Pages 61-79

  Rehman, Zia Ur ^a   Mirza, Muhammad Tayyeb ^a   Khan, Asifullah ^a   Xhaard, Henri ^b  

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

^b UNIVERSITY OF HELSINKI   (Finland)

Author keywords

Discrete wavelet transform; Hydrophobicity; Nearest neighbor; Pseudo amino acid; Support vector machine

Indexed keywords

AMINO ACID; CYCLIC AMP; CYCLIC AMP RECEPTOR; G PROTEIN COUPLED RECEPTOR; METABOTROPIC RECEPTOR; PHEROMONE RECEPTOR;

ACCURACY; ALGORITHM; AMINO ACID COMPOSITION; AMINO ACID SEQUENCE; ARTICLE; CELL MEMBRANE; CHROMOSOME MAP; CLASSIFIER; COMPUTER INTERFACE; CONVERGENT EVOLUTION; CORRELATION COEFFICIENT; GENOME; HIDDEN MARKOV MODEL; HUMAN; HYDROPHOBICITY; JACKKNIFE TEST; NONHUMAN; PERFORMANCE MEASUREMENT SYSTEM; PHYLOGENY; PHYSICAL CHEMISTRY; PREDICTION; PRIORITY JOURNAL; PROTEIN FAMILY; SENSITIVITY AND SPECIFICITY; SEQUENCE ALIGNMENT; SUPPORT VECTOR MACHINE;

EID: 84873391224     PISSN: 00766879     EISSN: 15577988     Source Type: Book Series    
DOI: 10.1016/B978-0-12-407865-9.00004-2     Document Type: Chapter

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