A sampling-based method for ranking protein structural models by integrating multiple scores and features

Current Protein and Peptide Science

Volumn 12, Issue 6, 2011, Pages 540-548

  Shi, Xiaohu ^a,b   Zhang, Jingfen ^b   He, Zhiquan ^b   Shang, Yi ^b   Xu, Dong ^a,b  

^a JILIN UNIVERSITY   (China)

^b UNIVERSITY OF MISSOURI   (United States)

Author keywords

Casp; Machine learning; Mufold; Protein structure prediction; Sampling; Scoring function; Structural model quality assessment

Indexed keywords

PROTEIN;

ARTICLE; MACHINE LEARNING; MATHEMATICAL MODEL; PREDICTION; PROTEIN SECONDARY STRUCTURE; PROTEIN STRUCTURE; SAMPLING; SCORING SYSTEM; STRUCTURE ANALYSIS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTATIONAL BIOLOGY; MODELS, MOLECULAR; NEURAL NETWORKS (COMPUTER); PROTEIN CONFORMATION; PROTEIN STRUCTURE, SECONDARY; PROTEIN STRUCTURE, TERTIARY; PROTEINS; REPRODUCIBILITY OF RESULTS; SOFTWARE;

EID: 80052251154     PISSN: 13892037     EISSN: 18755550     Source Type: Journal    
DOI: 10.2174/138920311796957658     Document Type: Article

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