Computational identification of MoRFs in protein sequences using Hierarchical application of bayes rule

PLoS ONE

Volumn 10, Issue 10, 2015, Pages

  Malhis, Nawar ^a   Wong, Eric T C ^a   Nassar, Roy ^a   Gsponer, Jorg ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

AMINO ACID COMPOSITION; AMINO ACID SEQUENCE; CONTROLLED STUDY; MOLECULAR RECOGNITION; PHOTOSYSTEM I; PLANT LEAF; PREDICTION; PROPENSITY SCORE; VELOCITY; BAYES THEOREM; BIOLOGY; CHEMISTRY; GENETICS; HUMAN; METABOLISM; PROCEDURES; PROTEIN DATABASE; PROTEIN TERTIARY STRUCTURE; SEQUENCE HOMOLOGY;

PROTEIN;

AMINO ACID SEQUENCE; BAYES THEOREM; COMPUTATIONAL BIOLOGY; DATABASES, PROTEIN; HUMANS; PROPENSITY SCORE; PROTEIN STRUCTURE, TERTIARY; PROTEINS; SEQUENCE HOMOLOGY, AMINO ACID;

EID: 84951014813     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0141603     Document Type: Article

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