Improving prediction of protein secondary structure, backbone angles, solvent accessibility and contact numbers by using predicted contact maps and an ensemble of recurrent and residual convolutional neural networks - researchr publication related

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Jack Hanson, Kuldip K. Paliwal, Thomas Litfin, Yuedong Yang, Yaoqi Zhou. Improving prediction of protein secondary structure, backbone angles, solvent accessibility and contact numbers by using predicted contact maps and an ensemble of recurrent and residual convolutional neural networks. Bioinformatics, 35(14):2403-2410, 2019. [doi]

The following publications are possibly variants of this publication:

Capturing non-local interactions by long short-term memory bidirectional recurrent neural networks for improving prediction of protein secondary structure, backbone angles, contact numbers and solvent accessibilityRhys Heffernan, Yuedong Yang, Kuldip K. Paliwal, Yaoqi Zhou. bioinformatics, 33(18):2842-2849, 2017. [doi]

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