FFAS-3D: Improving fold recognition by including optimized structural features and template re-ranking

Bioinformatics

Volumn 30, Issue 5, 2014, Pages 660-667

  Xu, Dong ^a   Jaroszewski, Lukasz ^a,b   Li, Zhanwen ^a   Godzik, Adam ^a,b,c  

^a BURNHAM INSTITUTE   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c KING ABDULAZIZ UNIVERSITY   (Saudi Arabia)

Author keywords

[No Author keywords available]

Indexed keywords

PROTEIN;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMISTRY; CLASSIFICATION; PROTEIN CONFORMATION; PROTEIN DATABASE; PROTEIN FOLDING; PROTEIN SECONDARY STRUCTURE; PROTEIN TERTIARY STRUCTURE; SEQUENCE ALIGNMENT; SEQUENCE HOMOLOGY;

ALGORITHMS; DATABASES, PROTEIN; NEURAL NETWORKS (COMPUTER); PROTEIN CONFORMATION; PROTEIN FOLDING; PROTEIN STRUCTURE, SECONDARY; PROTEIN STRUCTURE, TERTIARY; PROTEINS; SEQUENCE ALIGNMENT; SEQUENCE HOMOLOGY, AMINO ACID;

EID: 84897692613     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btt578     Document Type: Article

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