Author

Tao Song

China University of Petroleum, East ChinaORCID 0000-0002-0130-3340Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:deep learning· 2 Assay:protein structure· 2 Research Focus:protein structure prediction· 2 Approach:contrastive learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:graph neural network· 1

Frequent Co-Authors

Jianmin WangiD· 2 shared Ben CaoiD· 1 shared Chunyan LiiD· 1 shared Enrico G. PetrettoiD· 1 shared Hongxin XiangiD· 1 shared Jiashun MaoiD· 1 shared Kyoung Tai NoiD· 1 shared Shuang WangiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersBioinformatics

Jianmin WangORCID

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2 papers

Recent·Most cited

Predicting mutation-disease associations through protein interactions via deep learning

Xue Li, Ben Cao, Jianmin Wang, Xiangyu Meng, Shuang Wang, Yu Huang, Enrico G. Petretto, Tao Song

This paper constructs a mutation-disease dataset and proposes CGM to predict mutation-disease associations, identifying 22 unknown protein interaction pairs.

IEEE Journal of Biomedical and Health Informatics · Feb 13, 2025Peer-reviewedBioinformatics

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