Discovery of Mycobacterium tuberculosis InhA Inhibitors by Binding Sites Comparison and Ligands Prediction

Tanja Štular, Samo Lešnik, Kaja Rožman, Julia Schink, Mitja Zdouc, An Ghysels, Feng Liu, Courtney C. Aldrich, V. Joachim Haupt, Sebastian Salentin, Simone Daminelli, Michael Schroeder, Thierry Langer, Stanislav Gobec, Dušanka Janežič, Janez Konc

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

Drug discovery is usually focused on a single protein target; in this process, existing compounds that bind to related proteins are often ignored. We describe ProBiS plugin, extension of our earlier ProBiS-ligands approach, which for a given protein structure allows prediction of its binding sites and, for each binding site, the ligands from similar binding sites in the Protein Data Bank. We developed a new database of precalculated binding site comparisons of about 290000 proteins to allow fast prediction of binding sites in existing proteins. The plugin enables advanced viewing of predicted binding sites, ligands' poses, and their interactions in three-dimensional graphics. Using the InhA query protein, an enoyl reductase enzyme in the Mycobacterium tuberculosis fatty acid biosynthesis pathway, we predicted its possible ligands and assessed their inhibitory activity experimentally. This resulted in three previously unrecognized inhibitors with novel scaffolds, demonstrating the plugin's utility in the early drug discovery process.

Original languageEnglish (US)
Pages (from-to)11069-11078
Number of pages10
JournalJournal of medicinal chemistry
Volume59
Issue number24
DOIs
StatePublished - Dec 22 2016

Bibliographical note

Publisher Copyright:
© 2016 American Chemical Society.

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