Author

Endi Yang

Zhongnan University of Economics and LawORCID 0009-0005-4048-7444Unclaimed 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 Research Focus:protein design· 1 Assay:protein sequence· 1

Frequent Co-Authors

Haipeng GongiD· 1 shared Jian HuiD· 1 shared Shize YuiD· 1 shared Weizhe WangiD· 1 shared Yunxin XuiD· 1 shared Zimu YuiD· 1 shared Ziyu ShiiD· 1 shared

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2026-2026 · peak 1/yr

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1 shared paperBioinformatics

Haipeng GongORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintSep 24, 2026

From single-sequence structure prediction to protein fitness landscape through a composable, epistasis-aware mutation atlas

Weizhe Wang, Zimu Yu, Endi Yang…·Haipeng Gong

The paper introduces Cerebra-Epistasis, a framework that improves multi-mutant fitness prediction by modeling epistatic effects and integrating structure-aware sequence analysis.

DOI 10.64898/2026.09.24.753701

protein sequencedeep learning

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