Author

Lifan Chen

Chinese Academy of SciencesORCID 0000-0002-3007-7215Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Approach:graph neural network· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Research Focus:sequence-to-function modeling· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Mingyue ZhengiD· 2 shared Sulin ZhangiD· 2 shared Xiaomin LuoiD· 2 shared Chen Zheng· 1 shared Chenghao LuiD· 1 shared Chenmao Zhou· 1 shared Duanhua CaoiD· 1 shared Feisheng ZhongiD· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersBioinformatics

Mingyue ZhengORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJun 18, 2023

EquiScore: A generic protein-ligand interaction scoring method integrating physical prior knowledge with data augmentation modeling

Duanhua Cao, Geng Chen, Jiaxin Jiang…·Mingyue Zheng

EquiScore is a protein-ligand interaction scoring method that outperforms existing methods on external test sets and shows potential for lead compound optimization.

4 citations

protein structuregraph neural network

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Molecular BiologybioRxivPreprintMar 26, 2022

Drug design and repurposing with a sequence-to-drug paradigm

Lifan Chen, Zisheng Fan, Jie Chang…·Mingyue Zheng

This paper introduces a sequence-to-drug paradigm using TransformerCPI2.0 to discover drug-like molecules from protein sequences and validates its effectiveness for three targets.

1 citation

protein sequencedeep learning

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