Prof. Guowei Wei
Michigan State University, USA
Email: [email protected]
Qualifications
1996 Ph.D., University of British Columbia, Canada
1988 M.Sc., Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, China
Publications (Selected)
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Wee, J., Chen, J., & Wei, G. W. (2024). Preventing future zoonosis: SARS-CoV-2 mutations enhance human–animal cross-transmission. Computers in Biology and Medicine, 182, 109101.
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Suwayyid, F., & Wei, G. W. (2024). Persistent mayer dirac. Journal of Physics: Complexity, 5(4), 045005.
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Shen, L., Feng, H., Li, F., Lei, F., Wu, J., & Wei, G. W. (2024). Knot data analysis using multiscale Gauss link integral. Proceedings of the National Academy of Sciences, 121(42), e2408431121.
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Bhusal, G., Merkurjev, E., & Wei, G. W. (2024). Persistent Laplacian-enhanced algorithm for scarcely labeled data classification. Machine Learning, 113(10), 7267-7292.
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Jiang, J., Chen, L., Ke, L., Dou, B., Zhang, C., Feng, H., ... & Wei, G. (2024). A review of transformers in drug discovery and beyond. Journal of Pharmaceutical Analysis, 101081.
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Hozumi, Y., & Wei, G. W. (2024). Analyzing single cell RNA sequencing with topological nonnegative matrix factorization. Journal of Computational and Applied Mathematics, 445, 115842.
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Jiang, J., Ke, L., Chen, L., Dou, B., Zhu, Y., Liu, J., ... & Wei, G. W. (2024). Transformer technology in molecular science. Wiley Interdisciplinary Reviews: Computational Molecular Science, 14(4), e1725.
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Chen, D., Liu, J., & Wei, G. W. (2024). Multiscale topology-enabled structure-to-sequence transformer for protein–ligand interaction predictions. Nature Machine Intelligence, 6(7), 799-810.
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Wang, R., Feng, H., & Wei, G. W. (2023). ChatGPT in Drug Discovery: A Case Study on Anticocaine Addiction Drug Development with Chatbots. Journal of chemical information and modeling, 63(22), 7189-7209.
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Qiu, Y., & Wei, G. W. (2023). Artificial intelligence-aided protein engineering: from topological data analysis to deep protein language models. Briefings in bioinformatics, 24(5), bbad289.
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Hozumi, Y., Tanemura, K. A., & Wei, G. W. (2023). Preprocessing of single cell RNA sequencing data using correlated clustering and projection. Journal of chemical information and modeling, 64(7), 2829-2838.
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Dou, B., Zhu, Z., Merkurjev, E., Ke, L., Chen, L., Jiang, J., ... & Wei, G. W. (2023). Machine learning methods for small data challenges in molecular science. Chemical Reviews, 123(13), 8736-8780.
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Feng, H., Jiang, J., & Wei, G. W. (2023). Machine-learning repurposing of DrugBank compounds for opioid use disorder. Computers in biology and medicine, 160, 106921.
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Shen, L., Feng, H., Qiu, Y., & Wei, G. W. (2023). SVSBI: sequence-based virtual screening of biomolecular interactions. Communications biology, 6(1), 536.
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Wang, R., & Wei, G. W. (2023). Persistent path laplacian. Foundations of data science (Springfield, Mo.), 5(1), 26.
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Qiu, Y., & Wei, G. W. (2023). Persistent spectral theory-guided protein engineering. Nature computational science, 3(2), 149-163.
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Chen, J., Qiu, Y., Wang, R., & Wei, G. W. (2022). Persistent Laplacian projected Omicron BA. 4 and BA. 5 to become new dominating variants. Computers in Biology and Medicine, 151, 106262.
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Soares, T. A., Nunes-Alves, A., Mazzolari, A., Ruggiu, F., Wei, G. W., & Merz, K. (2022). The (Re)-Evolution of Quantitative Structure–Activity Relationship (QSAR) studies propelled by the surge of machine learning methods. Journal of Chemical Information and Modeling, 62(22), 5317-5320.
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Qiu, Y., & Wei, G. W. (2022). CLADE 2.0: evolution-driven cluster learning-assisted directed evolution. Journal of chemical information and modeling, 62(19), 4629-4641.
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Gao, K., Wang, R., Chen, J., Cheng, L., Frishcosy, J., Huzumi, Y., ... & Wei, G. W. (2022). Methodology-centered review of molecular modeling, simulation, and prediction of SARS-CoV-2. Chemical Reviews, 122(13), 11287-11368.
Profile Details
https://msu.edu/honoredfaculty/directory/wei-guowei.html
https://users.math.msu.edu/users/weig/
https://scholar.google.com.hk/citations?hl=zh-CN&user=If_mksUAAAAJ
WoS ResearcherID: E-1852-2011