A Blueprint for High Affinity SARS-CoV-2 Mpro Inhibitors from Activity-Based Compound Library Screening Guided by Analysis of Protein Dynamics

Abstract:
No abstract specified

SEEK ID: https://publications.h-its.org/publications/1253

DOI: 10.1021/acsptsci.0c00215

Research Groups: Molecular and Cellular Modeling

Publication type: Journal

Journal: ACS Pharmacology & Translational Science

Citation: ACS Pharmacol. Transl. Sci. 4(3):1079-1095

Date Published: 11th Jun 2021

Registered Mode: by DOI

Authors: Jonas Gossen, Simone Albani, Anton Hanke, Benjamin P. Joseph, Cathrine Bergh, Maria Kuzikov, Elisa Costanzi, Candida Manelfi, Paola Storici, Philip Gribbon, Andrea R. Beccari, Carmine Talarico, Francesca Spyrakis, Erik Lindahl, Andrea Zaliani, Paolo Carloni, Rebecca C. Wade, Francesco Musiani, Daria B. Kokh, Giulia Rossetti

Citation
Gossen, J., Albani, S., Hanke, A., Joseph, B. P., Bergh, C., Kuzikov, M., Costanzi, E., Manelfi, C., Storici, P., Gribbon, P., Beccari, A. R., Talarico, C., Spyrakis, F., Lindahl, E., Zaliani, A., Carloni, P., Wade, R. C., Musiani, F., Kokh, D. B., & Rossetti, G. (2021). A Blueprint for High Affinity SARS-CoV-2 Mpro Inhibitors from Activity-Based Compound Library Screening Guided by Analysis of Protein Dynamics. In ACS Pharmacology & Translational Science (Vol. 4, Issue 3, pp. 1079–1095). American Chemical Society (ACS). https://doi.org/10.1021/acsptsci.0c00215
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Created: 29th Mar 2021 at 08:50

Last updated: 5th Mar 2024 at 21:24

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