DeepCNF-D: Predicting protein order/disorder regions by weighted deep convolutional neural fields

International Journal of Molecular Sciences

Volumn 16, Issue 8, 2015, Pages 17315-17330

  Wang, Sheng ^a,b   Weng, Shunyan ^c   Ma, Jianzhu ^b   Tang, Qingming ^b  

^a UNIVERSITY OF CHICAGO   (United States)

^b TOYOTA TECHNOLOGICAL INSTITUTE AT CHICAGO   (United States)

^c SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Conditional neural field; Deep convolutional neural network; Deep learning; Intrinsically disordered proteins; Machine learning; Prediction of disordered regions

Indexed keywords

AMINO ACID; CASPASE 10; CASPASE 9; INTRINSICALLY DISORDERED PROTEIN; PROTEIN;

AREA UNDER THE CURVE; ARTICLE; ARTIFICIAL NEURAL NETWORK; DEEP CONVOLUTIONAL NEURAL FIELD; HUMAN; MACHINE LEARNING; MEASUREMENT ACCURACY; PREDICTION; PROTEIN SECONDARY STRUCTURE; RECEIVER OPERATING CHARACTERISTIC; X RAY DIFFRACTION; CHEMISTRY; PROCEDURES; SEQUENCE ANALYSIS; SOFTWARE;

INTRINSICALLY DISORDERED PROTEINS; SEQUENCE ANALYSIS, PROTEIN; SOFTWARE;

EID: 84938318602     PISSN: 16616596     EISSN: 14220067     Source Type: Journal    
DOI: 10.3390/ijms160817315     Document Type: Article

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