Author

Guang Lin

Purdue University West LafayetteORCID 0009-0000-1040-4197Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biochemistry· 2

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Approach:deep learning· 2 Research Focus:protein folding & dynamics· 2 Assay:protein structure· 2 Research Focus:protein structure prediction· 1 Approach:simulation· 1 Research Focus:software / tool· 1 Approach:transformer / foundation model· 1 Approach:variational autoencoder· 1

Frequent Co-Authors

Ming CheniD· 2 shared Yikai LiuiD· 2 shared

Activity by Year

2026-2026 · peak 2/yr

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2 shared papersBiochemistry

Ming ChenORCID

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2 papers

Recent·Most cited

BiochemistrybioRxivPreprintJul 20, 2026

✦ In-depth digest

UniFlow: Unifying protein conformational ensemble generation and machine-learned force fields with a scalable normalizing Flow

Yikai Liu, Ming Chen, Guang Lin

A normalizing flow over backbone internal-coordinate angles generates protein ensembles comparable to BioEmu in one step and doubles as a differentiable coarse-grained potential for Langevin dynamics.

DOI 10.64898/2026.07.17.739266

protein structuredeep learning

𝕏 PostBluesky

BiochemistrybioRxivPreprintJul 2, 2026

ConformFlow: scalable normalizing flow for protein conformational ensemble generation

Yikai Liu, Guang Lin, Ming Chen

ConformFlow generates protein conformational ensembles using a scalable normalizing flow framework, outperforming diffusion-based methods in speed and generalization.

DOI 10.64898/2026.06.12.731927

protein structuredeep learning

𝕏 PostBluesky