Structure- and Ligand-Based Discovery of Novel 3-Chymotrypsin-Like Protease Nonpeptidomimetic Hits
Clinical Snapshot
PICO Framework
| P — Population | SARS-CoV-2 3-chymotrypsin-like protease (3CLpro) as therapeutic target |
| I — Intervention | Structure- and ligand-based computational drug discovery approaches including shape-based screening, ensemble docking, and machine learning models |
| C — Comparator | Existing peptidomimetic inhibitors (ensitrelvir, nirmatrelvir) and computational validation datasets |
| O — Outcomes | Identification of nonpeptidomimetic inhibitors with IC50 ≤80 µM, validation metrics (AUC, EF, BEDROC), and characterization of lead compound LabMol-499 |
Bottom Line
This computational drug discovery study successfully identified novel nonpeptidomimetic inhibitors of SARS-CoV-2 3CLpro using validated computational approaches. The lead compound LabMol-499 demonstrates promising in vitro activity (IC50 13.71 µM) as a noncompetitive, reversible inhibitor. While the computational validation metrics are robust (AUC 87%), this represents early-stage discovery research requiring extensive further development. The nonpeptidomimetic approach addresses limitations of current peptidomimetic drugs and may offer advantages in terms of stability and resistance profiles. However, significant development work including optimization for drug-like properties, selectivity assessment, cellular validation, and safety evaluation is needed before clinical application. The study provides a solid foundation for hit-to-lead optimization but does not immediately impact clinical practice.
Key Findings
P Value: Not reported for primary outcomes
Effect Size: Lead compound LabMol-499: IC50 = 13.71 µM, Ki = 21.74 µM
Primary Outcome: Identification of six promising 3CLpro inhibitors with IC50 ≤80 µM
Nnt Or Sensitivity: Computational validation: AUC = 87%, Enrichment Factor = 7, BEDROC = 60-62%
Confidence Interval: Not reported for primary outcomes
Clinical Application
Early-stage discovery requiring extensive development including optimization, safety studies, and clinical trials Relevant to Australian COVID-19 management strategies; would require TGA approval pathway for novel therapeutics. Complements existing PBS-listed antivirals (nirmatrelvir/ritonavir) Patients with COVID-19 requiring antiviral therapy, particularly those with resistance to current therapies
Abstract
The SARS-CoV-2 3-chymotrypsin-like (3CLpro) protease is a key target for the development of COVID-19 therapeutics. While ensitrelvir and nirmatrelvir are approved drugs for treatment, the continuous research and development for new antiviral drugs is necessary to combat the emergence of variants and other related viruses. This study employed structure- and ligand-based computer-assisted approaches to identify new 3CLpro nonpeptidomimetic inhibitors. Using data from COVID Moonshot, NCATS, and the literature, computational methods such as shape-based, ensemble docking, and machine learning (ML) techniques were developed, achieving robust validation metrics: AUC = 87%, EF = 7, BEDROC = 60% for shape-based; AUC = 87%, EF = 7.03, BEDROC = 62% for ensemble docking, and ACC = 81%, MCC = 62% for ML models, combing Random forest + ECFP4 fingerprint. These models were utilized in virtual screening (VS) campaigns using the H3D and ChemBridge libraries, from which six promising hits with IC50 values ≤80 µM were identified, including LabMol-499 with an IC50 of 13.71 µM and a Ki of 21.74 µM. Moreover, we found that LabMol-499 acts as a noncompetitive, reversible inhibitor of 3CLpro. These findings provide a foundation for hit-to-lead optimization of new nonpeptidomimetic 3CLpro inhibitors.
References
- 1.Silva-Mendonça, S., Seanego, D., Jurisch, C., Mottin, M., Nader Motta, F., S A Rodrigues, B., S M Junior, G., Dos Santos Carvalho, A. M., Muniz de Oliveira, F., Sigurdardóttir, S., Sunnerhagen, P., Marques Dourado Bastos, I., Gessner, R., Chibale, K., & Horta Andrade, C. (2026). Structure- and ligand-based discovery of novel 3-chymotrypsin-like protease nonpeptidomimetic hits. ChemMedChem. https://doi.org/10.1038/srep42717
Related Research
Journal of medical Internet research
Advancing Human-Centered AI in Clinical Decision Support: Sociocognitive Human-in-the-Loop Study in HIV Care
2 Aug 2026
JBJS reviews
One-Stage or Two-Stage Revision for Infected Shoulder Arthroplasty: A Head-to-Head Meta-Analysis of Comparative Studies
30 July 2026
Signal transduction and targeted therapy
Mucosal immunity and vaccine development
27 July 2026
This content is for educational purposes for healthcare professionals only and does not constitute clinical advice. Clinical decisions should be based on individual patient assessment, current guidelines, and appropriate specialist consultation. Editorial Standards · Privacy Policy · Terms of Service