Author

Q. Pei

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biochemistry· 1

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:large language model· 1 Research Focus:perturbation response prediction· 1 Research Focus:sequence-to-function modeling· 1

Frequent Co-Authors

C.-K. Chan· 1 shared H. Guo· 1 shared H. Liu· 1 shared J. Guo· 1 shared J. Wu· 1 shared K. Wu· 1 shared L. Wu· 1 shared L. Zhou· 1 shared

Activity by Year

2024-2024 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBiochemistry

C.-K. Chan

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1 paper

Recent·Most cited

Target-aware Molecule Generation for Drug Design Using a Chemical Language Model

Y. Xia, K. Wu, P. Deng, R. Liu, Y. Zhang, H. Guo, Y. Cui, Q. Pei, L. Wu, S. Xie, S. Chen, X. Lu, S. Hu, J. Wu, C.-K. Chan, , T.-Y. Liu

This paper introduces TamGen, a chemical language model for target-aware molecule generation, and shows it produces high-quality compounds with inhibitory activity against Tuberculosis ClpP protease.

bioRxiv · Jan 8, 2024 · PreprintBiochemistry