Structural exploration of thiazole urea-based Gyr B inhibitors through different computational approaches: Bayesian classification, molecular docking and free energy-inspired molecular dynamics simulation | Synapse
March 3, 2026
Structural exploration of thiazole urea-based Gyr B inhibitors through different computational approaches: Bayesian classification, molecular docking and free energy-inspired molecular dynamics simulation
Key Points
Effective thiazole urea-based Gyr B inhibitors were identified through multiple computational methods.
The Bayesian classification model accurately predicted potential inhibitors with 85% specificity and 78% sensitivity.
Molecular docking simulations showed improved binding affinity to the Gyr B target protein.
This analysis indicates a promising direction for developing antibiotics that may combat resistant bacteria.