Drug Repurposing Uncovers New Chemical Scaffolds as Potent Urease Inhibitors: A Comprehensive Computational Study
Year: 2026
Type: article
Abstract: Helicobacter pylori urease is a key virulence factor and a validated target for anti-infective strategies. In this study, a comprehensive computational workflow was applied to identify potential urease inhibitors through a drug repurposing approach. A curated library was first filtered using permeability-related descriptors and multiparametric scoring. The resulting compounds were evaluated through ensemble and consensus docking across multiple protein conformations and docking engines, followed by XP rescoring, metal–ligand distance analysis, and molecular dynamics simulations. Binding stability and thermodynamic profiles were further assessed using MM-GBSA and well-tempered metadynamics. This integrative strategy led to the identification of several candidate compounds exhibiting favorable docking scores, stable coordination with the catalytic Ni2+ center, and consistent binding behavior during molecular dynamics simulations. Notably, selected compounds showed improved relative binding free energy profiles compared to reference inhibitors within the applied computational framework. Overall, this study provides a robust computational pipeline for urease inhibitor identification and highlights repurposed compounds as promising candidates for further experimental validation.
DOI: 10.3390/ijms27083561
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $3,499
Awards: DESIGNING RHODOPSIN-BASED PHOTOSWITCHES FOR OPTOGENETIC APPLICATIONS THROUGH MULTI-SCALE MODELING, INTEGRATED APPROACH TO OPTIMAL HORMONE APPLICATION UNDER DROUGHT AND HEAT STRESS RESPONSE IN STRAWBERRY PLANTS AND FRUIT QUALITY DETERMINATIONS, RED DE COLABORACION CHILENO-ESPANOLA-BRASILENA PARA EL DISENO RACIONAL DE FARMACOS Y NANOSISTEMAS DE LIBERACION CONTROLADA CONTRA RESISTENCIA MICROBIANA, G6242983438, CONTRIBUTIONS TO CONTROL AND FILTER DESIGN FOR NETWORKED CYBER-PHYSICAL SYSTEMS THEORY AND APPLICATIONS, FLAVONOID-DERIVED BENZOFURANONES: UNRAVELING THEIR DIRECT AND INDIRECT ANTIOXIDANT ACTIVITIES
OpenAlex ID: W7154611223
