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

Guanyu WangNicolas MoitessierAnthony K Mittermaier
Published in: Chemical communications (Cambridge, England) (2023)
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 pro covalent inhibitors.
Keyphrases
  • sars cov
  • drug discovery
  • endothelial cells
  • high throughput
  • machine learning
  • deep learning
  • coronavirus disease
  • oxide nanoparticles