Author

Jiashun Mao

Yonsei UniversityORCID 0000-0002-3545-354XUnclaimed 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· 3 Research Focus:benchmarking· 2 Assay:protein structure· 2 Research Focus:protein structure prediction· 2 Research Focus:software / tool· 2 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Approach:diffusion model· 1

Frequent Co-Authors

Jianmin WangiD· 3 shared Kyoung Tai NoiD· 3 shared Chunyan LiiD· 2 shared Xiangxiang ZengiD· 2 shared Xun WangiD· 2 shared Amir ZebiD· 1 shared Hongxin XiangiD· 1 shared Shuang WangiD· 1 shared

Activity by Year

2023-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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3 shared papersBioinformatics

Jianmin WangORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Interface-aware molecular generative framework for protein-protein interaction modulators

Jianmin Wang, Jiashun Mao, Chunyan Li, Hongxin Xiang, Xun Wang, Shuang Wang, Zixu Wang, Yangyang Chen, Yuquan Li, Kyoung Tai No, Tao Song, Xiangxiang Zeng

This paper introduces GENiPPI, a molecular generative framework for PPI interfaces, which generates novel compounds targeting PPIs and demonstrates its effectiveness in capturing interface-molecule relationships.

Journal of Cheminformatics · Dec 20, 2024Peer-reviewedBioinformatics

Exploring the conformational ensembles of protein-protein complex with transformer-based generative model

Jianmin Wang, Xun Wang, Yanyi Chu, Chunyan Li, Xue Li, Xiangyu Meng, Yitian Fang, Kyoung Tai No, Jiashun Mao, Xiangxiang Zeng

This study uses a transformer-based generative model to generate novel protein-protein complex conformations from molecular dynamics simulations, enhancing conformational exploration.

Journal of Chemical Theory and Computation · May 30, 2024Peer-reviewedBioinformatics

Multimodal generation of astrocyte by integrating single-cell multi-omics data via deep learning

Jiashun Mao, Jianmin Wang, Amir Zeb, Kyoung Tai No

The paper introduces ACGDC, a deep learning model that generates synthetic single-cell multi-omics samples to aid in brain disease research.

bioRxiv · Nov 30, 2023 · PreprintBioinformatics