Targeting SARS-CoV2 spike glycoprotein: molecular insights into phytocompounds binding interactions – <i>in-silico</i> molecular docking

This study utilized small molecular characterization and docking study to evaluate the binding affinity of seven antiviral phytocompounds with the SARS CoV-2 variants (SARS-CoV-2 Spike Glycoprotein, SARS-CoV-2 Spike Protein Variant in 1-RBD, Alpha Variant SARS-CoV2- Spike Protein). The results revealed that five of seven compounds, possesses excellent drug lead property reveled through in-silico ADMET analysis. In addition, six of seven except D-Glucosamine, exhibited excellent binding affinity. Six ligands possess significant binding affinity towards SARS-CoV-2 variants 6VXX, 7LWV and 7R13, which is certainly greater than Remdesivir. Fagaronine found to be the best drug candidate against SARS-CoV-2 variants, It was found that -7.4, -5.6 and -6.3 is the docking score respectively. Aranotin, Beta aescin, Gliotoxin, and Fagaronine formed hydrogen bonds with specific amino acids and exhibited significant binding interactions. These findings suggest that these phytocompounds could be promising candidates for developing antiviral therapies against SARS-CoV-2. Moreover, the study underscores the importance of molecular docking in understanding protein-ligand interactions and its role in drug discovery. The documented pharmacological properties of these compounds in the literature further support their potential therapeutic relevance in various diseases.

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Publication Details

Journal
Journal of Biomaterials Science Polymer Edition
Published
2024-09-03
DOI
https://doi.org/10.1080/09205063.2024.2399395
Citations
5
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
1.81
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article

Targeting SARS-CoV2 spike glycoprotein: molecular insights into phytocompounds binding interactions – in-silico molecular docking

S. Elavarasi, P. Karuppannan, Kamatchi Sundara Saravanan, G. Revathi et al.
5 citations
Journal of Biomaterials Science Polymer Edition
Computational Drug Discovery Methods
1.81
article

Targeting SARS-CoV2 spike glycoprotein: molecular insights into phytocompounds binding interactions – in-silico molecular docking

S. Elavarasi, P. Karuppannan, Kamatchi Sundara Saravanan, G. Revathi, M. Ashokkumar, C. Muthusamy, A. Ram Kumar
article en
5 citations

Abstract

This study utilized small molecular characterization and docking study to evaluate the binding affinity of seven antiviral phytocompounds with the SARS CoV-2 variants (SARS-CoV-2 Spike Glycoprotein, SARS-CoV-2 Spike Protein Variant in 1-RBD, Alpha Variant SARS-CoV2- Spike Protein). The results revealed that five of seven compounds, possesses excellent drug lead property reveled through in-silico ADMET analysis. In addition, six of seven except D-Glucosamine, exhibited excellent binding affinity. Six ligands possess significant binding affinity towards SARS-CoV-2 variants 6VXX, 7LWV and 7R13, which is certainly greater than Remdesivir. Fagaronine found to be the best drug candidate against SARS-CoV-2 variants, It was found that -7.4, -5.6 and -6.3 is the docking score respectively. Aranotin, Beta aescin, Gliotoxin, and Fagaronine formed hydrogen bonds with specific amino acids and exhibited significant binding interactions. These findings suggest that these phytocompounds could be promising candidates for developing antiviral therapies against SARS-CoV-2. Moreover, the study underscores the importance of molecular docking in understanding protein-ligand interactions and its role in drug discovery. The documented pharmacological properties of these compounds in the literature further support their potential therapeutic relevance in various diseases.

Journal of Biomaterials Science Polymer EditionVol. 36(3)
University College for Women (IN), Memorial Foundation (US), Holy Cross College (GB), Hindustan Institute of Technology and Science (IN), Saveetha University (IN)
Openalex Percentile: Top 13%
Computational Drug Discovery Methods
1.81
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Targeting SARS-CoV2 spike glycoprotein: molecular insights into phytocompounds binding interactions – <i>in-silico</i> molecular docking — S. Elavarasi, P. Karuppannan, et al. · Journal of Biomaterials Science Polymer Edition (2024) | TGRS Research Map | TGRS