Improving prediction of secondary structure, local backbone angles, and solvent accessible surface area of proteins by iterative deep learning

Scientific Reports

Volumn 5, Issue , 2015, Pages

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

^a GRIFFITH UNIVERSITY   (Australia)

^b GRIFFITH UNIVERSITY   (Australia)

^c UNIVERSITY OF THE SOUTH PACIFIC   (Fiji)

^d DEZHOU UNIVERSITY   (China)

^e CSIRO   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

AMINO ACID; PROTEIN; SOLVENT;

ALGORITHM; CHEMISTRY; MACHINE LEARNING; MOLECULAR MODEL; PROTEIN DATABASE; PROTEIN SECONDARY STRUCTURE;

ALGORITHMS; AMINO ACIDS; DATABASES, PROTEIN; MACHINE LEARNING; MODELS, MOLECULAR; PROTEIN STRUCTURE, SECONDARY; PROTEINS; SOLVENTS;

EID: 84934966065     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/srep11476     Document Type: Article

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