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DNA-encoded chemical libraries yield non-covalent and non-peptidic SARS-CoV-2 main protease inhibitors
The development of SARS-CoV-2 main protease (M(pro)) inhibitors for the treatment of COVID-19 has mostly benefitted from X-ray structures and preexisting knowledge of inhibitors; however, an efficient method to generate M(pro) inhibitors, which circumvents such information would be advantageous. As...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10403511/ https://www.ncbi.nlm.nih.gov/pubmed/37542196 http://dx.doi.org/10.1038/s42004-023-00961-y |
Sumario: | The development of SARS-CoV-2 main protease (M(pro)) inhibitors for the treatment of COVID-19 has mostly benefitted from X-ray structures and preexisting knowledge of inhibitors; however, an efficient method to generate M(pro) inhibitors, which circumvents such information would be advantageous. As an alternative approach, we show here that DNA-encoded chemistry technology (DEC-Tec) can be used to discover inhibitors of M(pro). An affinity selection of a 4-billion-membered DNA-encoded chemical library (DECL) using M(pro) as bait produces novel non-covalent and non-peptide-based small molecule inhibitors of M(pro) with low nanomolar K(i) values. Furthermore, these compounds demonstrate efficacy against mutant forms of M(pro) that have shown resistance to the standard-of-care drug nirmatrelvir. Overall, this work demonstrates that DEC-Tec can efficiently generate novel and potent inhibitors without preliminary chemical or structural information. |
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