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Covalent Fragment Screening Using the Quantitative Irreversible Tethering Assay
Published on: February 28, 2025
Chemical Proteomics Approaches for Screening Small Molecule Inhibitors Covalently Binding to SARS-Cov-2
Liuhai Zheng1,2, Qian Zhang3, Piao Luo3
1Department of Pulmonary and Critical Care Medicine, Guangdong Provincial Clinical Research Center for Geriatrics, Shenzhen Institute of Respiratory Diseases, and Shenzhen Clinical Research Centre for Geriatrics, Shenzhen People's Hospital, First Affiliated Hospital of Southern University of Science and Technology, Second Clinical Medical College of Jinan University, Shenzhen, 518020, China.
Artificial intelligence and activity-based protein profiling rapidly identified small molecules targeting SARS-CoV-2 Omicron variants. The FDA-approved drug gallic acid demonstrated potent neutralization, validating a novel drug discovery platform.
Area of Science:
- Drug discovery and development
- Virology
- Computational biology
Background:
- The rapid spread and evolution of SARS-CoV-2, particularly Omicron variants, necessitate novel therapeutic strategies.
- Current monoclonal antibody treatments are less effective against emerging SARS-CoV-2 variants, creating an urgent need for new antivirals.
- Developing broad-spectrum therapeutics is crucial to combat current and future SARS-CoV-2 strains and recombinants.
Purpose of the Study:
- To rapidly identify small molecule drugs capable of covalently binding to the SARS-CoV-2 Omicron variant's receptor binding domain (RBD).
- To establish and validate a comprehensive platform integrating artificial intelligence (AI), activity-based protein profiling (ABPP), and biochemical assays for accelerated drug discovery.
- To evaluate the neutralization potency of identified drug candidates against Omicron variants.
Main Methods:
- Combined application of artificial intelligence (AI) and activity-based protein profiling (ABPP) for high-throughput screening of small molecules.
- Surface plasmon resonance (SPR) assays to confirm binding kinetics and affinity of small molecules to the RBD.
- Pseudo-virus neutralization experiments to assess the antiviral efficacy of drug candidates.
- Molecular docking simulations to predict binding interactions.
Main Results:
- AI and ABPP successfully identified small molecules with the potential to covalently bind to the Omicron RBD.
- Gallic acid, an FDA-approved drug, exhibited significant neutralization potency against Omicron pseudo-virus, with an IC50 of 23.56 × 10⁻⁶ m.
- The integrated platform demonstrated effectiveness in rapidly identifying and evaluating potential anti-SARS-CoV-2 small molecule drugs.
Conclusions:
- A novel platform combining AI, biochemical assays, SPR, molecular docking, and pseudo-virus screening enables rapid identification and validation of anti-SARS-CoV-2 small molecule drugs.
- Gallic acid represents a promising therapeutic candidate with potent neutralization activity against Omicron variants.
- This approach provides a validated strategy for discovering therapeutics against current and emerging SARS-CoV-2 variants.
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