In Silico and In Vitro Identification of New Eugenol Derivatives as Inhibitors of the Spike <scp>SARS</scp> ‐ <scp>CoV</scp> ‐2 Protein Interaction With the <scp>ACE2</scp> Host Receptor
Coronavirus Disease-2019 (COVID-19) caused by SARS-CoV-2 remains a serious health concern worldwide. Inhibitors of the protein-protein interaction (iPPI) between the SARS-CoV-2 spike protein (S) and human Angiotensin-Converting Enzyme-2 (ACE2) are promising as potential antiviral agents. This study aimed to identify and evaluate novel compounds as inhibitors of the S receptor-binding domain (RBD) and ACE2 interaction through Eugenol- and Structure-Based virtual screening approaches. The hit compounds were corroborated as protein-protein interaction inhibitors using an ELISA-based enzyme assay. Molecular docking and molecular dynamics (MD) studies of the selected compounds showed that they maintained a molecular interaction and stability (RMSD fluctuations less than 4 Å) with essential residues of the S protein. The best compound, Eu-1 (IC<sub>50</sub> = 16 μM), prevented the interaction between the S protein and ACE2 receptor efficiently with an 83.7% inhibition at 50 μM. In addition, Eu-1 had an adequate value of cytotoxicity (CC<sub>50</sub> > 200 μM). Therefore, Eu-1 is a candidate compound for further SARS-CoV-2 preclinical experiments.
Authors
- Alonzo González‐González (ORCID: https://orcid.org/0000-0002-7512-859X)
- Alma D. Paz-González (ORCID: https://orcid.org/0000-0002-0938-6304)
- Gildardo Rivera (ORCID: https://orcid.org/0000-0001-9842-4167)
- Debasish Bandyopadhyay (ORCID: https://orcid.org/0000-0002-2726-5127)
- Timoteo Delgado‐Maldonado (ORCID: https://orcid.org/0000-0001-8915-7351)
- Guadalupe Rojas‐Verde (ORCID: https://orcid.org/0000-0001-8350-4180)
- Adriana Moreno‐Rodríguez (ORCID: https://orcid.org/0000-0003-4100-8255)
Institutions
- Universidad Autónoma de Nuevo León (MX)
- The University of Texas Rio Grande Valley (US)
- Instituto Politécnico Nacional (MX)
- Benito Juárez Autonomous University of Oaxaca (MX)
Publication Details
- Journal
- Chemical Biology & Drug Design
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1111/cbdd.70212
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00