![[feed]](/style/images/feed-icon-14x14.png){kind=icon}
Tools
Tools
Preview |
PDF (Original Article)
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
6MB |
![[thumbnail of Supporting Information]](https://edoc.mdc-berlin.de/style/images/fileicons/other.png) |
Other (Supporting Information)
7MB |
| Item Type: | Article |
|---|---|
| Title: | AI promoted virtual screening, structure-based hit optimization, and synthesis of novel COVID-19 S-RBD domain inhibitors |
| Creators Name: | Gkekas, I., Katsamakas, S., Mylonas, S., Fotopoulou, T., Magoulas, G.Ε., Tenchiu, A.C., Dimitriou, M., Axenopoulos, A., Rossopoulou, N., Kostova, S., Wanker, E.E., Katsila, T., Papahatjis, D., Gorgoulis, V.G., Koufaki, M., Karakasiliotis, I., Calogeropoulou, T., Daras, P. and Petrakis, S. |
| Abstract: | Coronavirus disease 2019 (COVID-19) is caused by a new, highly pathogenic severe-acute-respiratory syndrome coronavirus 2 (SARS-CoV-2) that infects human cells through its transmembrane spike (S) glycoprotein. The receptor-binding domain (RBD) of the S protein interacts with the angiotensin-converting enzyme II (ACE2) receptor of the host cells. Therefore, pharmacological targeting of this interaction might prevent infection or spread of the virus. Here, we performed a virtual screening to identify small molecules that block S-ACE2 interaction. Large compound libraries were filtered for drug-like properties, promiscuity and protein-protein interaction-targeting ability based on their ADME-Tox descriptors and also to exclude pan-assay interfering compounds. A properly designed AI-based virtual screening pipeline was applied to the remaining compounds, comprising approximately 10% of the starting data sets, searching for molecules that could bind to the RBD of the S protein. All molecules were sorted according to their screening score, grouped based on their structure and postfiltered for possible interaction patterns with the ACE2 receptor, yielding 31 hits. These hit molecules were further tested for their inhibitory effect on Spike RBD/ACE2 (19-615) interaction. Six compounds inhibited the S-ACE2 interaction in a dose-dependent manner while two of them also prevented infection of human cells from a pseudotyped virus whose entry is mediated by the S protein of SARS-CoV-2. Of the two compounds, the benzimidazole derivative CKP-22 protected Vero E6 cells from infection with SARS-CoV-2, as well. Subsequent, hit-to-lead optimization of CKP-22 was effected through the synthesis of 29 new derivatives of which compound CKP-25 suppressed the Spike RBD/ACE2 (19-615) interaction, reduced the cytopathic effect of SARS-CoV-2 in Vero E6 cells (IC(50) = 3.5 μM) and reduced the viral load in cell culture supernatants. Early in vitro ADME-Tox studies showed that CKP-25 does not possess biodegradation or liver metabolism issues, while isozyme-specific CYP450 experiments revealed that CKP-25 was a weak inhibitor of the CYP450 system. Moreover, CKP-25 does not elicit mutagenic effect on Escherichia coli WP2 uvrA strain. Thus, CKP-25 is considered a lead compound against COVID-19 infection. |
| Keywords: | Angiotensin-Converting Enzyme 2, Antiviral Agents, Artificial Intelligence, Betacoronavirus, COVID-19, COVID-19 Drug Treatment, Coronavirus Spike Glycoprotein, Molecular Docking Simulation, Pandemics, Preclinical Drug Evaluation, Protein Binding, Protein Domains, SARS-CoV-2, Viral Pneumonia |
| Source: | Journal of Chemical Information and Modeling |
| ISSN: | 1549-9596 |
| Publisher: | American Chemical Society |
| Volume: | 64 |
| Number: | 22 |
| Page Range: | 8562-8585 |
| Date: | 25 November 2024 |
| Official Publication: | https://doi.org/10.1021/acs.jcim.4c01110 |
| PubMed: | View item in PubMed |
Repository Staff Only: item control page
