Allosteric Inhibitors of SARS‐CoV‐2 RNA‐Dependent RNA Polymerase Based on <i>N</i> , <i>N′</i> ‐Diphenylurea
The COVID-19 pandemic, caused by the highly transmissible SARS-CoV-2 virus, has highlighted the urgent need for effective small-molecule antivirals. To date, only a few such agents, including molnupiravir and remdesivir, have been approved by the FDA. In our previous study, a novel class of SARS-CoV-2 RNA-dependent RNA polymerase (RdRp) inhibitors based on an N,N'-diphenylurea scaffold was identified; however, these compounds exhibited poor aqueous solubility and significant cytotoxicity. Herein, the design, synthesis, and evaluation of twenty-seven new derivatives aimed at improving solubility and reducing cytotoxicity through targeted scaffold modifications are reported. Seven analogs display enhanced aqueous solubility (kinetic solubility > 10 µM), and nine compounds show residual RdRp activity (RA-determined at 10 μM concentration of screened compounds) below 50%, with the most potent analog achieving an RA value of 34%. Despite these improvements, cytotoxicity remains a limitation across the series. These findings provide valuable structure-activity relationship insights and direct ongoing optimization efforts toward developing less toxic, soluble RdRp inhibitors with improved antiviral profiles.
Authors
- Zlatko Janeba (ORCID: https://orcid.org/0000-0003-4654-679X)
- Marina Kapisheva (ORCID: https://orcid.org/0000-0002-6245-9592)
- Tomáš Ruml (ORCID: https://orcid.org/0000-0002-5698-4366)
- Anna Klimešová (ORCID: https://orcid.org/0000-0002-8624-1598)
- Alžběta Dostálková (ORCID: https://orcid.org/0000-0003-0430-766X)
- Michala Zgarbová (ORCID: https://orcid.org/0000-0003-4747-9242)
- Vojtěch Spiwok (ORCID: https://orcid.org/0000-0001-8108-2033)
- Jan Weber (ORCID: https://orcid.org/0000-0002-2799-7352)
- Michaela Rumlová (ORCID: https://orcid.org/0000-0002-5645-8227)
- Matěj Danda (ORCID: https://orcid.org/0000-0002-0828-412X)
- Artem Chayka
- Lamija Zijadic
Institutions
- Charles University (CZ)
- Czech Academy of Sciences, Institute of Organic Chemistry and Biochemistry (CZ)
- University of Chemistry and Technology, Prague (CZ)
Publication Details
- Journal
- ChemMedChem
- Published
- 2025-11-22
- DOI
- https://doi.org/10.1002/cmdc.202500644
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00