Bridging neuropeptidomics and genomics with bioinformatics: Prediction of mammalian neuropeptide prohormone processing

Journal of Proteome Research

Volumn 5, Issue 5, 2006, Pages 1162-1167

  Amare, Andinet ^a   Hummon, Amanda B ^a   Southey, Bruce R ^a   Zimmerman, Tyler A ^a   Rodriguez Zas, Sandra L ^a   Sweedler, Jonathan V ^a  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

Binary logistic regression; Mammalian prohormones; Neuropeptide; Prohormone processing prediction; Statistical methods

Indexed keywords

HORMONE PRECURSOR; NEUROPEPTIDE;

ALGORITHM; APLYSIA; ARTICLE; BIOINFORMATICS; CONTROLLED STUDY; COW; GENOMICS; HUMAN; LOGISTIC REGRESSION ANALYSIS; MAMMAL; MOLLUSC; MOUSE; NONHUMAN; PHYLUM; PREDICTION; PRIORITY JOURNAL; PROTEIN PROCESSING; RAT; STATISTICAL ANALYSIS; SWINE;

ALGORITHMS; AMINO ACID SEQUENCE; ANIMALS; COMPUTATIONAL BIOLOGY; GENOMICS; HORMONES; HUMANS; LOGISTIC MODELS; MAMMALS; MODELS, BIOLOGICAL; MOLECULAR SEQUENCE DATA; NEUROPEPTIDES; PROTEIN PRECURSORS; PROTEIN PROCESSING, POST-TRANSLATIONAL;

MAMMALIA;

EID: 33646543701     PISSN: 15353893     EISSN: None     Source Type: Journal    
DOI: 10.1021/pr0504541     Document Type: Article

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