| Literature DB >> 26069090 |
Anna M Perna1, Tiago Rodrigues1, Thomas P Schmidt2, Manja Böhm3, Katharina Stutz1, Daniel Reker1, Bernhard Pfeiffer1, Karl-Heinz Altmann1, Steffen Backert3, Silja Wessler2, Gisbert Schneider4.
Abstract
Sustained identification of innovative chemical entities is key for the success of chemical biology and drug discovery. We report the fragment-based, computer-assisted de novo design of a small molecule inhibiting Helicobacter pylori HtrA protease. Molecular binding of the designed compound to HtrA was confirmed through biophysical methods, supporting its functional activity in vitro. Hit expansion led to the identification of the currently best-in-class HtrA inhibitor. The results obtained reinforce the validity of ligand-based de novo design and binding-kinetics-guided optimization for the efficient discovery of pioneering lead structures and prototyping drug-like chemical probes with tailored bioactivity.Entities:
Keywords: biophysical methods; chemical biology; computer-assisted drug design; drug design; receptor-ligand interactions
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Year: 2015 PMID: 26069090 PMCID: PMC6311382 DOI: 10.1002/anie.201504035
Source DB: PubMed Journal: Angew Chem Int Ed Engl ISSN: 1433-7851 Impact factor: 15.336