Journal
Chemical Science
Publication Date
3-30-2022
Volume
13
Issue
13
First Page
3674
Last Page
3687
Document Type
Open Access Publication
DOI
10.1039/d1sc05892d
Rights and Permissions
El Khoury L, Jing Z, Cuzzolin A, Deplano A, Loco D, Sattarov B, Hédin F, Wendeborn S, Ho C, El Ahdab D, Jaffrelot Inizan T, Sturlese M, Sosic A, Volpiana M, Lugato A, Barone M, Gatto B, Macchia ML, Bellanda M, Battistutta R, Salata C, Kondratov I, Iminov R, Khairulin A, Mykhalonok Y, Pochepko A, Chashka-Ratushnyi V, Kos I, Moro S, Montes M, Ren P, Ponder JW, Lagardère L, Piquemal JP, Sabbadin D. Computationally driven discovery of SARS-CoV-2 Mpro inhibitors: from design to experimental validation. Chem Sci. 2022 Feb 10;13(13):3674-3687. doi: 10.1039/d1sc05892d. © 2022 The Author(s). Published by the Royal Society of Chemistry CC-BY
Recommended Citation
El Khoury, Léa; Ponder, Jay W; and et al, "Computationally driven discovery of SARS-CoV-2 M pro inhibitors: From design to experimental validation." Chemical Science. 13, 13. 3674 - 3687. (2022).
https://digitalcommons.wustl.edu/oa_4/262
