Author

Song Xia

ORCID 0000-0002-6077-1718Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Approach:machine learning (classical)· 2 Research Focus:protein folding & dynamics· 2 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Assay:multiome· 1 Assay:protein structure· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Deqiang ZhangiD· 2 shared Jinbo XuiD· 1 shared Shang XuiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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2 shared papersBiochemistry

Deqiang ZhangORCID

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2 papers

Recent·Most cited

BiochemistrybioRxivPreprintSep 28, 2025

Cinematic Simulation of Substrate-to-Product Chemical Reactions with Chemical Accuracy Using QuantaMind MD

Song Xia, Deqiang Zhang

This study uses a deep learning-based MLFF to simulate the PETase-catalyzed reaction with DFT-level accuracy, capturing key events and free energy barriers consistent with experiments and previous QM/MM studies.

DOI 10.1101/2025.09.28.679094

multiomedeep learning

𝕏 PostBluesky

BiochemistrybioRxivPreprintSep 1, 2025

QuantaMind MD enables protein modeling with ab initio accuracy

Song Xia, Deqiang Zhang, Shang Xu, Jinbo Xu

QuantaMind MD provides quantum-accurate molecular dynamics simulations for proteins, enabling accurate structure optimization and ligand interaction modeling.

1 citation

protein structuremachine learning (classical)

𝕏 PostBluesky