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Accelerated Discovery of Potent Fusion Inhibitors for Respiratory Syncytial Virus.


ABSTRACT: A series of five benzimidazole-based compounds were identified using a machine learning algorithm as potential inhibitors of the respiratory syncytial virus (RSV) fusion protein. These compounds were synthesized, and compound 2 in particular exhibited excellent in vitro potency with an EC50 value of 5 nM. This new scaffold was then further refined leading to the identification of compound 44, which exhibited a 10-fold improvement in activity with an EC50 value of 0.5 nM.

SUBMITTER: Pribut N 

PROVIDER: S-EPMC7456560 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature

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A series of five benzimidazole-based compounds were identified using a machine learning algorithm as potential inhibitors of the respiratory syncytial virus (RSV) fusion protein. These compounds were synthesized, and compound <b>2</b> in particular exhibited excellent <i>in vitro</i> potency with an EC<sub>50</sub> value of 5 nM. This new scaffold was then further refined leading to the identification of compound <b>44</b>, which exhibited a 10-fold improvement in activity with an EC<sub>50</sub  ...[more]

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