Predicting backbone Cα angles and dihedrals from protein sequences by stacked sparse auto-encoder deep neural network

Journal of Computational Chemistry

Volumn 35, Issue 28, 2014, Pages 2040-2046

  Lyons, James ^a   Dehzangi, Abdollah ^a,b   Heffernan, Rhys ^a   Sharma, Alok ^a,c   Paliwal, Kuldip ^a   Sattar, Abdul ^a,b   Zhou, Yaoqi ^a   Yang, Yuedong ^a  

^a GRIFFITH UNIVERSITY   (Australia)

^b CSIRO   (Australia)

^c UNIVERSITY OF THE SOUTH PACIFIC   (Fiji)

Author keywords

deep learning; fold recognition; fragment structure prediction; local structure prediction; neural network; protein structure prediction; secondary structure prediction

Indexed keywords

AMINO ACIDS; ARTIFICIAL INTELLIGENCE; DIHEDRAL ANGLE; FORECASTING; LEARNING ALGORITHMS; LEARNING SYSTEMS; NEURAL NETWORKS; PROTEINS; STRUCTURAL PROPERTIES;

DEEP LEARNING; FOLD RECOGNITION; LOCAL STRUCTURE; PROTEIN STRUCTURE PREDICTION; SECONDARY STRUCTURE PREDICTION; STRUCTURE PREDICTION;

C (PROGRAMMING LANGUAGE);

PROTEIN;

ARTIFICIAL NEURAL NETWORK; CHEMISTRY;

NEURAL NETWORKS (COMPUTER); PROTEINS;

EID: 84927770389     PISSN: 01928651     EISSN: 1096987X     Source Type: Journal    
DOI: 10.1002/jcc.23718     Document Type: Article

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