Author

C.-G. Zhan

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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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Organism:human· 1 Assay:proteomics· 1 Approach:statistical model· 1 Organism:virus· 1

Frequent Co-Authors

A. Williams· 1 shared D. Wu· 1 shared H. Liu· 1 shared H.-B. Luo· 1 shared J. Cui· 1 shared L. Zhang· 1 shared L. Zhou· 1 shared R. Liu· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperBiophysics

A. Williams

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2 papers

Recent·Most cited

Computational Prediction of Binding Affinities of Human Angiotensin Converting Enzyme-2 with SARS-CoV-2 Spike Protein Variants: Omicron Variants and Potentially Deleterious Mutations

A. Williams, C.-G. Zhan

The paper predicts binding affinities of SARS-CoV-2 spike protein variants and mutations to ACE2 using a computational protocol, showing good agreement with experimental data.

bioRxiv · Oct 14, 2022 · PreprintBiophysics

Identify potent SARS-CoV-2 main protease inhibitors via accelerated free energy perturbation-based virtual screening of existing drugs

Z. Li, X. Li, Y.-Y. Huang, Y. Wu, L. Zhou, R. Liu, D. Wu, L. Zhang, H. Liu, X. Xu, Y. Zhang, J. Cui, C.-G. Zhan, X. Wang, H.-B. Luo

This paper identifies potent SARS-CoV-2 main protease inhibitors using accelerated free energy perturbation-based virtual screening of existing drugs, finding 15 inhibitors from 25 predicted drugs.

Proceedings of the National Academy of Sciences · Oct 13, 2020Peer-reviewedBiophysics