Computational and biophysical methods for the discovery and optimization of covalent drugs.


Journal

Chemical communications (Cambridge, England)
ISSN: 1364-548X
Titre abrégé: Chem Commun (Camb)
Pays: England
ID NLM: 9610838

Informations de publication

Date de publication:
12 Sep 2023
Historique:
medline: 13 9 2023
pubmed: 23 8 2023
entrez: 23 8 2023
Statut: epublish

Résumé

Drugs that act by covalently attaching to their targets have been used to treat human diseases for over a hundred years. However, the deliberate design of covalent drugs was discouraged due to concerns of toxicity and off-target effects. Recent successes in covalent drug discovery have sparked fresh interest in this field. New screening and testing methods aimed at covalent inhibitors can play pivotal roles in facilitating the discovery process. This feature article focuses on computational and biophysical advances originating from our labs over the past decade and how these approaches have contributed to the design of prolyl oligopeptidase (POP) and SARS-CoV-2 3CL

Identifiants

pubmed: 37609777
doi: 10.1039/d3cc03285j
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

10866-10882

Auteurs

Guanyu Wang (G)

Department of Chemistry, McGill University, 801 Sherbrooke Street West, Montreal, Quebec H3A 0B8, Canada. nicolas.moitessier@mcgill.ca.

Nicolas Moitessier (N)

Department of Chemistry, McGill University, 801 Sherbrooke Street West, Montreal, Quebec H3A 0B8, Canada. nicolas.moitessier@mcgill.ca.

Anthony K Mittermaier (AK)

Department of Chemistry, McGill University, 801 Sherbrooke Street West, Montreal, Quebec H3A 0B8, Canada. nicolas.moitessier@mcgill.ca.

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Classifications MeSH