Author

Minghui Li

Soochow UniversityORCID 0000-0002-7657-6589Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 2 Assay:protein sequence· 2 Research Focus:variant effect prediction· 2 Approach:deep learning· 1 Assay:DNA methylation· 1 Organism:human· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Yan YangiD· 2 shared Feifan Zheng· 1 shared Haoyu Lu· 1 shared Jian ZhangiD· 1 shared Ning ZhangiD· 1 shared Qing YangiD· 1 shared Shuqin WangiD· 1 shared Weikang Sun· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 15 mutual co-author links

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2 shared papersBioinformatics

Yan YangORCID

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3 papers

Recent·Most cited

An interpretable molecular framework for predicting cancer driver missense mutations

Yan Yang, Weikang Sun, Yang Liu, Jian Zhang, Minghui Li

The paper develops MutaPheno, a model that predicts cancer driver missense mutations using molecular features, achieving strong accuracy and outperforming existing tools.

Proceedings of the National Academy of Sciences · Feb 3, 2026Peer-reviewedBioinformatics

Systematic Investigation of Machine Learning on Limited Data: A Study on Predicting Protein-Protein Binding Strength

Feifan Zheng, Xin Jiang, Yuhao Wen, Yan Yang, Minghui Li

This study develops and evaluates machine learning models for predicting protein-protein binding affinity using limited data, achieving significant improvements over existing predictors.

Computational and Structural Biotechnology Journal · Dec 20, 2023Peer-reviewedBioinformatics

PremPRI: Predicting the Effects of Single Mutations on Protein-RNA Interactions

Ning Zhang, Haoyu Lu, Yuting Chen, Zefeng Zhu, Qing Yang, Shuqin Wang, Minghui Li

PremPRI predicts the effects of single mutations on protein-RNA interactions using a regression model trained on experimental data, achieving high correlation with experimental binding affinity changes.

International Journal of Molecular Sciences · Aug 3, 2020Peer-reviewedBioinformatics