Identification of Novel Urease Inhibitors by High-Throughput Virtual and in Vitro Screening

Abstract

Ureases are important in both agriculture and human health. Bacterial ureases are directly involved in many farm-field problems and pathological conditions. Here, we report a structure-based virtual screening of an in-house compound bank of about 6000 molecular entities by computational docking and binding free energy calculations followed by in vitro screening. Applied protocol leads to the identification of novel urease inhibitors, which can serve as starting points for structural optimization.