ArticleBMC chemistry2024
SMILES-based QSAR virtual screening to identify potential therapeutics for COVID-19 by targeting 3CL
Article in BMC chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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Who cites it
4 citing papers in PubMed.
- Dynamics-enhanced molecular property prediction guided by deep learning.PLoS computational biology · 2026Article
- Positive-Strand RNA Viral RdRps: From Structure Conservation and Activity Assay to Drug Development.Molecules (Basel, Switzerland) · 2026Review
- Identification of potential PI3Kγ inhibitors among FDA approved drugs using integrated computational and quantum chemical approaches.Scientific reports · 2025Article
- Integrating natural product research laboratory with artificial intelligence: Advancements and breakthroughs in traditional medicine.BioMedicine · 2024Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The COVID-19 pandemic has prompted the medical systems of many countries to develop effective treatments to combat the high rate of infection and death caused by the disease. Within the array of proteins found in SARS-CoV-2, the 3 chymotrypsin-like protease (3CL
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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.