International Journal of Molecular Sciences | |
DeepCNF-D: Predicting Protein Order/Disorder Regions by Weighted Deep Convolutional Neural Fields | |
Sheng Wang3  Shunyan Weng4  Jianzhu Ma1  Qingming Tang1  Lukasz Kurgan2  | |
[1] Toyota Technological Institute at Chicago, Chicago, IL 60637, USA; E-Mails:;id="af1-ijms-16-17315">Department of Human Genetics, University of Chicago, Chicago, IL 60637, U;Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA;MoE Key Laboratory of Developmental Genetics and Neuropsychiatric Diseases, Bio-X Center, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China; E-Mail: | |
关键词: intrinsically disordered proteins; prediction of disordered regions; machine learning; deep learning; deep convolutional neural network; conditional neural field; | |
DOI : 10.3390/ijms160817315 | |
来源: mdpi | |
【 摘 要 】
Intrinsically disordered proteins or protein regions are involved in key biological processes including regulation of transcription, signal transduction, and alternative splicing. Accurately predicting order/disorder regions
【 授权许可】
CC BY
© 2015 by the authors; licensee MDPI, Basel, Switzerland.
【 预 览 】
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