Author

Yongchang Xu

University of Shanghai for Science and TechnologyORCID 0000-0001-9554-7102Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Ngaam J. Cheung· 1 shared Tian-Jun ShangGuan· 1 shared Xueming Ding· 1 shared

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2021-2021 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Ngaam J. Cheung

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1 paper

Recent·Most cited

Accurate prediction of protein torsion angles using evolutionary signatures and recurrent neural network

Yongchang Xu, Tian-Jun ShangGuan, Xueming Ding, Ngaam J. Cheung

This paper introduces ESIDEN, a recurrent neural network that uses evolutionary signatures to predict protein torsion angles with high accuracy, improving upon existing methods.

Scientific Reports · Oct 26, 2021Peer-reviewedBioinformatics