Author

Runchang Jia

Northwest A&F UniversityORCID 0000-0002-7478-5125Unclaimed 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· 1 Approach:graph neural network· 1 Organism:human· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Fuyi LiiD· 2 shared Cong Wang· 1 shared Cong WangiD· 1 shared Heyun SuniD· 1 shared Jiangning SongiD· 1 shared Lukasz KurganiD· 1 shared Qi ZhangiD· 1 shared Tong PaniD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersBioinformatics

Fuyi LiORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintApr 10, 2026

Structure-aware geometric graph learning for modeling protease-substrate specificity at scale

Xudong Guo, Yue Bi, Zixu Ran…·Fuyi Li

OmniCleave models protease-substrate specificity using a geometric graph framework, outperforming existing methods and identifying novel substrates.

1 citation

proteomicsgraph neural network

𝕏 PostBluesky

BioinformaticsIEEE Transactions on Computational Biology and BioinformaticsPeer-reviewedSep 25, 2024

MetalPrognosis: a Biological Language Model-based Approach for Disease-Associated Mutations in Metal-Binding Site prediction

Runchang Jia, Zhijie He, Cong Wang…·Fuyi Li

MetalPrognosis predicts disease-associated mutations in metal-binding sites using a biological language model and convolutional neural network, outperforming existing methods.

8 citations

humanprotein sequence

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