Computational evaluation of chromone–tetrazole hybrids as noncovalent inhibitors of SARS-CoV-2 Mpro
Emerging SARS-CoV-2 variants continue to demand orally tractable, non-covalent inhibitors of the conserved main protease (M pro ). Here, chromone-phenyl-tetrazole hybrids were prioritized using a multiscale computational strategy that connects drug-likeness, binding stability, free-energy ranking, conformational behavior, and quantum-level electronic features. The series showed favorable oral drug-like profiles and low-to-moderate predicted acute toxicity. Among the stable M pro complexes, M2 displayed the strongest computed affinity (MM/GBSA ΔG bind = −38.8 kcal·mol ⁻ ¹), driven mainly by dispersion with limited desolvation cost, whereas M4 showed the most direct catalytic-dyad engagement through His41/Cys145-supported anchoring. DFT analysis rationalized these complementary profiles: M2 and M4 exhibited narrower HOMO-LUMO gaps (4.00 eV) and higher electronic softness, while ELF/NCI maps revealed heteroatom-centered electron reservoirs and weak intramolecular preorganization. The derived pharmacophore consists of a planar chromone π-platform bearing a carbonyl/phenolic acceptor-donor edge, a para-phenyl spacer for conjugation and hydrophobic occupancy, and a methoxy-tetrazole polar/π-rich head for Glu166/Phe140/His163 anchoring. Overall, M2 and M4 emerge as complementary lead chemotypes for experimental validation and structure-guided optimization against M pro .
Authors
- Belkheir Hammouti (ORCID: https://orcid.org/0000-0003-3673-7904)
- Salma Kadda (ORCID: https://orcid.org/0000-0003-4348-743X)
- Allal Challioui
- Shehdeh W. Jodeh (ORCID: https://orcid.org/0000-0001-9074-0122)
- Yousra Hammouti
- Oussama Khibech (ORCID: https://orcid.org/0009-0007-9407-7576)
- Said Abadi
Institutions
- An-Najah National University (PS)
- Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR)
- Mohamed I University (MA)
- Biologie des Plantes et Innovation (FR)
- Euro-Mediterranean University of Fes (MA)
- UMR Transfrontalière BioEcoAgro (FR)
- Université de Picardie Jules Verne (FR)
Publication Details
- Journal
- PLoS ONE
- Published
- 2026-11-11
- DOI
- https://doi.org/10.1371/journal.pone.0362385
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00