RNABindRPlus: A predictor that combines machine learning and sequence homology-based methods to improve the reliability of predicted RNA-binding residues in proteins

PLoS ONE

Volumn 9, Issue 5, 2014, Pages

  Walia, Rasna R ^a,b   Xue, Li C ^c   Wilkins, Katherine ^d   El Manzalawy, Yasser ^e   Dobbs, Drena ^a   Honavar, Vasant ^c,f  

^a IOWA STATE UNIVERSITY   (United States)

^b Iowa State University   (United States)

^c PENNSYLVANIA STATE UNIVERSITY   (United States)

^d Department of Plant Pathology and Plant Microbe Biology Cornell University ^*  (United States)

^e Al Azhar University   (Egypt)

^f PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BINDING SITE; COMPLEX FORMATION; COMPUTER PROGRAM; CONTROLLED STUDY; INTERMETHOD COMPARISON; LOGISTIC REGRESSION ANALYSIS; PREDICTION; PROTEIN RNA BINDING; SEQUENCE HOMOLOGY; SUPPORT VECTOR MACHINE; ANIMAL; ARTIFICIAL INTELLIGENCE; GENETICS; HUMAN; PROCEDURES; SEQUENCE ANALYSIS; THEORETICAL MODEL;

RNA BINDING PROTEIN;

ANIMALS; ARTIFICIAL INTELLIGENCE; HUMANS; MODELS, THEORETICAL; RNA-BINDING PROTEINS; SEQUENCE ANALYSIS, PROTEIN; SEQUENCE ANALYSIS, RNA;

EID: 84901298266     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0097725     Document Type: Article

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