Author

Lupeng Kong

Chinese Academy of SciencesORCID 0000-0002-0963-1293Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:protein sequence· 2 Research Focus:protein structure prediction· 2

Frequent Co-Authors

Dongbo BuiD· 2 shared Fusong JuiD· 2 shared Jianwei ZhuiD· 2 shared Wei‐Mou ZhengiD· 2 shared Bin ShaoiD· 1 shared Jinbo XuiD· 1 shared Shiwei SuniD· 1 shared Tie‐Yan LiuiD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

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8 top collaborators · 24 mutual co-author links

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2 shared papersBioinformatics

Dongbo BuORCID

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2 papers

Recent·Most cited

BioinformaticsJournal of Computational BiologyPeer-reviewedJan 24, 2022

ProALIGN: Directly learning alignments for protein structure prediction via exploiting context-specific alignment motifs

Lupeng Kong, Fusong Ju, Wei‐Mou Zheng…·Dongbo Bu

ProALIGN improves protein structure prediction by learning optimal sequence-template alignments using deep learning, outperforming existing methods on multiple datasets.

16 citations

protein sequencedeep learning

𝕏 PostBluesky

BioinformaticsNature CommunicationsPeer-reviewedMay 5, 2021

CopulaNet: Learning residue co-evolution directly from multiple sequence alignment for protein structure prediction

Fusong Ju, Jianwei Zhu, Bin Shao…·Dongbo Bu

CopulaNet directly learns residue co-evolution from multiple sequence alignments to improve protein structure prediction accuracy and efficiency.

84 citationstop 2%

protein sequencedeep learning

𝕏 PostBluesky