ArticleBiochemistry2025
A High-Throughput Screening Pipeline to Identify Methyltransferase and Exonuclease Inhibitors of SARS-CoV-2 NSP14.
Article in Biochemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
1 citing paper in PubMed.
- Discovery of SARS-CoV-2 Nsp14-Methyltransferase (MTase) Inhibitors by Harnessing Scaffold-Centric Exploration of the Ultra Large Chemical Space.ACS pharmacology & translational science · 2025Article
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Authors and funding
13 authors.
Funding
Abstract
SARS-CoV-2 infections led to a worldwide pandemic in 2020. As of 2024, therapeutics against SARS-CoV-2 have continued to be desirable. NSP14 is a dual-function methyltransferase (MTase) and exonuclease (ExoN) with key roles in SARS-CoV-2 genome propagation and host immune system evasion. In this work, we developed high-throughput screening (HTS) assays for NSP14 MTase and ExoN activities. We screened both activities against a collection of 40,664 compounds. A total of 1677 initial hit compounds were identified, cherrypicked, counterscreened for assay interference, and screened for off-target selectivity. We identified 396 and 174 high-quality hits against the MTase and ExoN activities, respectively. Along with inhibitors for individual activities, we identified dual-activity inhibitors, including a novel inhibitor that is not competitive with any substrate and interacts with a putative allosteric binding site. This study represents the largest published screen of SARS-CoV-2 NSP14 MTase and ExoN activities to date and culminates in a pipeline for the NSP14 drug discovery.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.