Iterative computational design and crystallographic screening identifies potent inhibitors targeting the Nsp3 Macrodomain of SARS-CoV-2. | UCSF Helen Diller Family Comprehensive Cancer Center

Author List

Gahbauer S, Correy GJ, Schuller M, Ferla MP, Doruk YU, Rachman M, Wu T, Diolaiti M, Wang S, Neitz RJ, Fearon D, Radchenko D, Moroz Y, Irwin JJ, Renslo AR, Taylor JC, Gestwicki JE, von Delft F, Ashworth A, Ahel I, Shoichet BK, Fraser JS

Publication

bioRxiv : the preprint server for biology

Publication ID (Profile URL)

https://researcherprofiles.org/profile/313213956

Publication Year

2022

PubMed ID

35794891

Publication Title

Gahbauer S, Correy GJ, Schuller M, Ferla MP, Doruk YU, Rachman M, Wu T, Diolaiti M, Wang S, Neitz RJ, Fearon D, Radchenko D, Moroz Y, Irwin JJ, Renslo AR, Taylor JC, Gestwicki JE, von Delft F, Ashworth A, Ahel I, Shoichet BK, Fraser JS. Iterative computational design and crystallographic screening identifies potent inhibitors targeting the Nsp3 Macrodomain of SARS-CoV-2. bioRxiv. 2022 Jul 28.