Context-based features enhance protein secondary structure prediction accuracy

Journal of Chemical Information and Modeling

Volumn 54, Issue 3, 2014, Pages 992-1002

  Yaseen, Ashraf ^a,b   Li, Yaohang ^a  

^a Old Dominion University   (United States)

^b CENTRAL STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

NEURAL NETWORKS; PROTEINS;

ACCURACY IMPROVEMENT; COMPUTATIONAL RESULTS; INTER-RESIDUE INTERACTIONS; PREDICTION ACCURACY; PROTEIN SECONDARY-STRUCTURE PREDICTION; SECONDARY STRUCTURE PREDICTION; SECONDARY STRUCTURES; SEQUENCE IDENTITY;

FORECASTING;

PROTEIN;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; CHEMICAL MODEL; CHEMISTRY; COMPUTER SIMULATION; PROTEIN DATABASE; PROTEIN SECONDARY STRUCTURE;

ALGORITHMS; COMPUTER SIMULATION; DATABASES, PROTEIN; MODELS, CHEMICAL; NEURAL NETWORKS (COMPUTER); PROTEIN STRUCTURE, SECONDARY; PROTEINS;

EID: 84896921968     PISSN: 15499596     EISSN: 1549960X     Source Type: Journal    
DOI: 10.1021/ci400647u     Document Type: Article

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