<i> De <i>N</i> ovo </i> -Designed Miniprotein Inhibits the Enzymatic Activity of the SARS-CoV-2 Main Protease
Targeting viral proteases is a well-established antiviral strategy and a promising approach that has been actively explored against SARS-CoV-2. The SARS-CoV-2 main protease (M<sup>pro</sup>) is essential for viral replication and functions as a homodimer, making its dimerization interface an attractive therapeutic target. In this study, we report the rational design of HB3-Core25, a miniprotein computationally engineered to disrupt M<sup>pro</sup> dimerization and inhibit its catalytic activity. <i>In vitro</i> production followed by biophysical characterization showed that HB3-Core25 folds into a compact trimeric helical bundle, exhibiting high solubility and thermal stability. Biophysical assays confirmed binding to M<sup>pro</sup> with a dissociation constant (<i>K</i><sub>D</sub>) of 0.567 μM and the lowest IC50 reported to date for the dimer interface. Functional assays further demonstrated inhibition of M<sup>pro</sup> catalytic activity, with 51.1%. These findings highlight HB3-Core25 as a stable inhibitor of M<sup>pro</sup> activity by interfering with its dimerization, offering a complementary strategy to classical active-site inhibition in antiviral drug development.
Authors
- Roberto D. Lins (ORCID: https://orcid.org/0000-0002-3983-8025)
- Emerson G. Moreira (ORCID: https://orcid.org/0000-0001-7887-7601)
- Gabriel Luz Wallau (ORCID: https://orcid.org/0000-0002-1419-5713)
- Danilo F. Coêlho (ORCID: https://orcid.org/0000-0002-1111-0825)
- Lícya S.S. Xavier (ORCID: https://orcid.org/0000-0002-7648-5134)
- Carlos Cruz (ORCID: https://orcid.org/0000-0003-3490-1213)
- Tayná Evily de Lima (ORCID: https://orcid.org/0000-0002-4609-1433)
- Rafael Dhália
- Isabelle F. T. Viana (ORCID: https://orcid.org/0000-0003-4648-6635)
- Bruno Leite
- Marta Illana
Institutions
- Universidade Federal de Pernambuco (BR)
- Instituto de Ciencia de Materiales de Sevilla (ES)
- Faculdades Oswaldo Cruz (BR)
- Center for Genomic Science (IT)
- Institute of Structural and Molecular Biology (GB)
- University College London (GB)
- Fundação Oswaldo Cruz (BR)
Publication Details
- Journal
- Journal of Chemical Information and Modeling
- Published
- 2025-10-08
- DOI
- https://doi.org/10.1021/acs.jcim.5c01708
- Citations
- 1
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 1.50