Author

Tonggan Lu

Soochow UniversityORCID 0009-0007-4708-2903Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:protein folding & dynamics· 2 Research Focus:cell type annotation· 1 Assay:protein structure· 1 Assay:proteomics· 1 Approach:statistical model· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

yangxin LiiD· 2 shared Mengmei Wang· 1 shared Yao-hua Song· 1 shared Yuxin DingiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

4 top collaborators · 4 mutual co-author links

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2 shared papersCell Biology

yangxin LiORCID

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2 papers

Recent·Most cited

Cell BiologybioRxivPreprintApr 21, 2026

Physics-Guided Deep Neural Networks: Correcting Physical Distortions in Protein Phase Separation Prediction

Mengmei Wang, Tonggan Lu, Yao-hua Song, yangxin Li

This paper develops physics-guided deep neural networks to improve protein phase separation predictions by addressing AI dominance over physical laws.

DOI 10.64898/2026.04.18.719364

protein structuredeep learning

𝕏 PostBluesky

Cell BiologybioRxivPreprintApr 2, 2026

AI-Driven Reconstruction of the Research Paradigm for Phase Separation in Membraneless Organelle

Yuxin Ding, Tonggan Lu, Yangxin Li

This paper introduces an AI-driven paradigm to predict and analyze protein phase separation propensity, identifying novel membraneless organelle candidates through integration of physical mechanisms and machine learning.

DOI 10.64898/2026.03.31.715491

proteomicsdeep learning

𝕏 PostBluesky