Structure−Activity Relationships of New 1‐Aryl‐1H‐Indole Derivatives as SARS‐CoV‐2 Nsp13 Inhibitors
It has been more than four years since the first report of SARS-CoV-2, the virus responsible for the coronavirus disease 2019 (COVID-19) pandemic, the scientific community is focused on vaccine development in an exceptionally rapid time frame, as well as the evaluation of a wide range of potential treatments in clinical trials, a few of which have also reached the market. However, these drugs are characterized by several limits (including low response to treatment in some patients, low effectiveness against the new variants, severe side effects, etc.), thus underscoring the need to speed up the research. Among potential antiviral targets, the SARS-CoV-2 nonstructural protein 13 (nsp13) is highly promising thanks to its pivotal role in viral replication. Pursuing the studies on the development of nsp13 inhibitors, herein, the design, synthesis, and biological evaluation of new SARS-CoV-2 nsp13 inhibitors are reported. In general, the newly designed dikehexenoic derivatives are proven active against both the enzymatic activities showing measurable IC<sub>50</sub> under 30 μM concentration, while the diketobutanoic series shows less promising results. Moreover, the tested compounds are capable of blocking viral replication without exerting cytotoxicity. Docking studies predict their binding into an allosteric pocket within the RecA2 domain.
Authors
- Giuseppe Ruggieri
- Antonella Messore (ORCID: https://orcid.org/0000-0003-0158-5816)
- Davide Ialongo (ORCID: https://orcid.org/0000-0002-4672-2936)
- Enzo Tramontano (ORCID: https://orcid.org/0000-0002-4849-0980)
- Valentina Noemi Madia (ORCID: https://orcid.org/0000-0002-5724-612X)
- Roberta Costi (ORCID: https://orcid.org/0000-0002-1314-9029)
- Roberto Di Santo (ORCID: https://orcid.org/0000-0002-4279-7666)
- Elisa Patacchini (ORCID: https://orcid.org/0000-0002-4531-3612)
- Angela Corona (ORCID: https://orcid.org/0000-0002-6630-8636)
- Donatella Amatore (ORCID: https://orcid.org/0000-0001-5701-9683)
- Stefania Maloccu
- Roberta Emmolo
- Francesca Esposito (ORCID: https://orcid.org/0000-0001-9725-7977)
- Florigio Lista (ORCID: https://orcid.org/0000-0002-9495-2656)
- Riccardo De Santis (ORCID: https://orcid.org/0000-0002-2097-6663)
- Alessandra Amoroso (ORCID: https://orcid.org/0009-0009-1399-2794)
- Aurora Albano
- Laura Zarbo
- Emanuele Cara (ORCID: https://orcid.org/0009-0008-7723-2201)
Institutions
- University of Pavia (IT)
- Istituto Nazionale di Fisica Nucleare, Sezione di Cagliari (IT)
- Istituto Pasteur (IT)
- Institute of Cognitive Sciences and Technologies (IT)
- Link Campus University (IT)
- Sapienza University of Rome (IT)
Publication Details
- Journal
- ChemMedChem
- Published
- 2025-05-05
- DOI
- https://doi.org/10.1002/cmdc.202500205
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00