Predicting rRNA-, RNA-, and DNA-binding proteins from primary structure with support vector machines

Journal of Theoretical Biology

Volumn 240, Issue 2, 2006, Pages 175-184

  Yu, Xiaojing ^a   Cao, Jianping ^b   Cai, Yudong ^c   Shi, Tieliu ^a   Li, Yixue ^a  

^a Shanghai Jiao Tong University Affiliated Sixth People s Hospital   (China)

^b UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

^c UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

DNA binding protein; Protein function prediction; RNA binding protein; rRNA binding protein; Support vector machines (SVMs)

Indexed keywords

DNA BINDING PROTEIN; RIBOSOME RNA; RNA BINDING PROTEIN;

BIOINFORMATICS; DNA; GENOME; PHYSICOCHEMICAL PROPERTY; PROTEIN; RNA;

ACCURACY; AMINO ACID COMPOSITION; AMINO ACID SEQUENCE; ANALYTIC METHOD; ARTICLE; CELL ACTIVITY; DNA BINDING; LABORATORY TEST; MEDICAL INFORMATION; MOLECULAR MODEL; OPTICS; PRIORITY JOURNAL; PROTEIN ANALYSIS; PROTEIN FUNCTION; RNA BINDING; VECTOR CONTROL;

AMINO ACID SEQUENCE; ANIMALS; BASE SEQUENCE; COMPUTATIONAL BIOLOGY; DATABASES, GENETIC; DNA-BINDING PROTEINS; MODELS, GENETIC; MOLECULAR SEQUENCE DATA; PATTERN RECOGNITION, AUTOMATED; PROTEIN STRUCTURE, TERTIARY; RNA, RIBOSOMAL; RNA-BINDING PROTEINS; SEQUENCE ANALYSIS, PROTEIN; STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 33646510075     PISSN: 00225193     EISSN: 10958541     Source Type: Journal    
DOI: 10.1016/j.jtbi.2005.09.018     Document Type: Article

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