ArticleJournal of computer-aided molecular design2026
Identification of spiropyrrolidinoxindoles as SARS-CoV-2 main protease inhibitor hits from virtual screening.
Article in Journal of computer-aided molecular design, 2026. 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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Multimodal machine learning and deep graph neural networks for the prediction of molecular inhibitory activity and disease associations.Journal of computer-aided molecular design · 2026Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has caused significant global loss and social disruption. Although large-scale vaccination campaigns and naturally acquired immunity have reduced viral transmission, the rapid evolution of the viral genome-driven by the lack of proofreading during replication-continues to pose a major public health threat. The current SARS-CoV-2 main protease inhibitor (Mpro), Paxlovid, substantially lowers hospitalization rates but is associated with adverse effects and drug-drug interactions with many medications. To discover more effective and safer treatments, we conducted a large-scale virtual screening to identify novel structural scaffolds targeting viral Mpro. This effort yielded a series of spiropyrrolidinoxindole derivative hits with promising low-micromolar inhibitory activity. Through preliminary analysis of the structure-activity relationship and proposed binding conformations, our findings provide a basis for rational structural optimization and may facilitate the development of potent, safer spiropyrrolidinoxindole-based therapeutics against severe COVID-19.
Indexed as
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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 OpenQuestion graph.