An automatic pipeline for the design of irreversible derivatives identifies a potent SARS-CoV-2 M(pro) inhibitor

Designing covalent inhibitors is increasingly important, although it remains challenging. Here, we present covalentizer, a computational pipeline for identifying irreversible inhibitors based on structures of targets with non-covalent binders. Through covalent docking of tailored focused libraries,...

Descripción completa

Detalles Bibliográficos
Autores principales: Zaidman, Daniel, Gehrtz, Paul, Filep, Mihajlo, Fearon, Daren, Gabizon, Ronen, Douangamath, Alice, Prilusky, Jaime, Duberstein, Shirly, Cohen, Galit, Owen, C. David, Resnick, Efrat, Strain-Damerell, Claire, Lukacik, Petra, Barr, Haim, Walsh, Martin A., von Delft, Frank, London, Nir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Resource
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8228784/
https://www.ncbi.nlm.nih.gov/pubmed/34174194
http://dx.doi.org/10.1016/j.chembiol.2021.05.018

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8228784/
https://www.ncbi.nlm.nih.gov/pubmed/34174194
http://dx.doi.org/10.1016/j.chembiol.2021.05.018

Ejemplares similares