ArticleBiophysical chemistry2022
Molecular docking and machine learning affinity prediction of compounds identified upon softwood bark extraction to the main protease of the SARS-CoV-2 virus.
Article in Biophysical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
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Who cites it
3 citing papers in PubMed.
- Structure evaluation coupled with all-atom molecular dynamics and advanced quantum mechanical DFT revealed kaempferol as a potent binding flavonol for the epigenetic-target HDAC9.Journal of biosciences · 2026Article
- In silico study to identify novel NEK7 inhibitors from natural sources by a combination strategy.Molecular diversity · 2025Article
- Targeting serotonin receptors with phytochemicals - an in-silico study.Scientific reports · 2024Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Molecular docking of 234 unique compounds identified in the softwood bark (W set) is presented with a focus on their inhibition potential to the main protease of the SARS-CoV-2 virus 3CL
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Registered trials
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