Validation of the AmpC β-lactamase binding site and identification of inhibitors with novel scaffolds

Fung Yi Chan, Marco A.C. Neves, Ning Sun, Man Wah Tsang, Yun Chung Leung, Tak Hang Chan, Ruben Abagyan, Kwok Yin Wong

Research output: Journal article publicationJournal articleAcademic researchpeer-review

5 Citations (Scopus)

Abstract

AmpC β-lactamase confers resistance to β-lactam antibiotics in multiple Gram-negative bacteria. Therefore, identification of non-β-lactam compounds that inhibit the enzyme is considered crucial to the development of novel antibacterial therapies. Given the highly solvent-exposed active site, it is important to study the induced-fit movements and water-mediated interactions to improve docking accuracy and virtual screening enrichments in structure-based design of new AmpC inhibitors. Here, we tested multiple models of the AmpC binding site to investigate the importance of conserved water molecules and binding site plasticity on molecular docking. The results indicate that at least one conserved water molecule greatly improves the binding pose predictions and virtual screening enrichments of known noncovalent AmpC inhibitors. The best model was tested prospectively in the virtual screening of about 6 million commercially available compounds. Sixty-one chemically diverse top-scoring compounds were experimentally tested, which led to the identification of seven previously unknown inhibitors. These findings validate the essential features of the AmpC binding site for molecular recognition and are useful for further optimization of identified inhibitors.
Original languageEnglish
Pages (from-to)1367-1375
Number of pages9
JournalJournal of Chemical Information and Modeling
Volume52
Issue number5
DOIs
Publication statusPublished - 25 May 2012

ASJC Scopus subject areas

  • General Chemistry
  • General Chemical Engineering
  • Computer Science Applications
  • Library and Information Sciences

Fingerprint

Dive into the research topics of 'Validation of the AmpC β-lactamase binding site and identification of inhibitors with novel scaffolds'. Together they form a unique fingerprint.

Cite this