Unknown

Dataset Information

Target identification for repurposed drugs active against SARS-CoV-2 via high-throughput inverse docking.


ABSTRACT: Screening already approved drugs for activity against a novel pathogen can be an important part of global rapid-response strategies in pandemics. Such high-throughput repurposing screens have already identified several existing drugs with potential to combat SARS-CoV-2. However, moving these hits forward for possible development into drugs specifically against this pathogen requires unambiguous identification of their corresponding targets, something the high-throughput screens are not typically designed to reveal. We present here a new computational inverse-docking protocol that uses all-atom protein structures and a combination of docking methods to rank-order targets for each of several existing drugs for which a plurality of recent high-throughput screens detected anti-SARS-CoV-2 activ

SUBMITTER: Ribone SR 

PROVIDER: S-EPMC8616721 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature