BindN+ for accurate prediction of DNA and RNA-binding residues from protein sequence features

BMC Systems Biology

Volumn 4, Issue SUPPL. 1, 2010, Pages

  Wang, Liangjiang ^a,b   Huang, Caiyan ^a   Yang, Mary Q ^c,d   Yang, Jack Y ^c,d,e  

^a CLEMSON UNIVERSITY   (United States)

^b GREENWOOD GENETIC CENTER   (United States)

^c PURDUE UNIVERSITY   (United States)

^d INDIANA UNIVERSITY SCHOOL OF MEDICINE   (United States)

^e UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DNA; PROTEIN; RNA;

AMINO ACID SEQUENCE; ARTICLE; ARTIFICIAL INTELLIGENCE; CHEMISTRY; GENETICS; INTERNET; METABOLISM; METHODOLOGY; MOLECULAR EVOLUTION; MOLECULAR GENETICS; PROTEIN BINDING; PROTEIN DATABASE; RECEIVER OPERATING CHARACTERISTIC; SYSTEMS BIOLOGY;

AMINO ACID SEQUENCE; ARTIFICIAL INTELLIGENCE; DATABASES, PROTEIN; DNA; EVOLUTION, MOLECULAR; INTERNET; MOLECULAR SEQUENCE DATA; PROTEIN BINDING; PROTEINS; RNA; ROC CURVE; SYSTEMS BIOLOGY;

EID: 77953886400     PISSN: None     EISSN: 17520509     Source Type: Journal    
DOI: 10.1186/1752-0509-4-S1-S3     Document Type: Article

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