Author

yangxin Li

Soochow UniversityORCID 0000-0002-2364-3207Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

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

Tonggan LuiD· 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

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersCell Biology

Tonggan LuORCID

Mutual co-authors in cluster

Author profile →

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