Article3 Biotech2023
Comparative docking studies of drugs and phytocompounds for emerging variants of SARS-CoV-2.
Article in 3 Biotech, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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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.
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Who cites it
11 citing papers in PubMed, 23 citations in OpenAlex.
- Comparative analysis of phytocompounds and repurposed drugs against dengue virus serotypes employing an in silico study.Scientific reports · 2025Article
- Design, synthesis and biological evaluation of thienopyridine derivatives as c-Met kinase inhibitors.Molecular diversity · 2025Article
- Bidirectional approach of Punica granatum natural compounds: reduction in lung cancer and SARS-CoV-2 propagation.BMC complementary medicine and therapies · 2025Article
- Neuroprotective Efficacy of Phytoconstituents of Methanolic Shoots Extract ofEndocrine, metabolic & immune disorders drug targets · 2025Article
- Analysis of natural compounds identifies potential inhibitors for phosphoglucomutase ofIn silico pharmacology · 2025Article
- Phytochemicals in Drug Discovery-A Confluence of Tradition and Innovation.International journal of molecular sciences · 2024Review
- Article
- Predictive Assessment of the Antiviral Properties ofAdvances in virology · 2024Article
- Therapeutic Management with Repurposing Approaches: A Mystery During COVID-19 Outbreak.Current molecular medicine · 2024Review
- Anti-Staphylococcal, Anti-Candida, and Free-Radical Scavenging Potential of Soil Fungal Metabolites: A Study Supported by Phenolic Characterization and Molecular Docking Analysis.Current issues in molecular biology · 2023Article
- Fighting cytokine storm and immunomodulatory deficiency: By using natural products therapy up to now.Frontiers in pharmacology · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the last three years, COVID-19 has impacted the world with back-to-back waves leading to devastating consequences. SARS-CoV-2, the causative agent of COVID-19, was first detected in 2019 and since then has spread to 228 countries. Even though the primary focus of research groups was diverted to fight against COVID-19, yet no dedicated drug has been developed to combat the emergent life-threatening medical conditions. In this study, 35 phytocompounds and 43 drugs were investigated for comparative docking analysis. Molecular docking and virtual screening were performed against SARS-CoV-2 spike glycoprotein of 13 variants using AutoDock Vina tool 1.5.6 and Discovery Studio, respectively, to identify the most efficient drugs. Selection of the most suitable compounds with the best binding affinity was done after screening for toxicity, ADME (absorption, distribution, metabolism and excretion) properties and drug-likeliness. The potential candidates were discovered to be Liquiritin (binding affinities ranging between -7.0 and -8.1 kcal/mol for the 13 variants) and Apigenin (binding affinities ranging between -6.8 and -7.3 kcal/mol for the 13 variants) based on their toxicity and consistent binding affinity with the Spike protein of all variants. The stability of the protein-ligand complex was determined using Molecular dynamics (MD) simulation of Apigenin with the Delta plus variant of SARS-CoV-2. Furthermore, Liquiritin and Apigenin were also found to be less toxic than the presently used drugs and showed promising results based on in silico studies, though, confirmation using in vitro studies is required. This in-depth comparative investigation suggests potential drug candidates to fight against SARS-CoV-2 variants. Supplementary Information: The online version contains supplementary material available at 10.1007/s13205-022-03450-6.
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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.