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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,...
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| Publicado no: | Cell Chem Biol |
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| Main Authors: | , , , , , , , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier Ltd.
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8228784/ https://ncbi.nlm.nih.gov/pubmed/34174194 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.chembiol.2021.05.018 |
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