Not Every Hit-Identification Technique Works on 1-Deoxy-D-Xylulose 5-Phosphate Synthase (DXPS): Making the Most of a Virtual Screening Campaign

  • Sandra Johannsen
  • , Robin M. Gierse
  • , Aleksandra Olshanova
  • , Ellie Smerznak
  • , Christian Laggner
  • , Lea Eschweiler
  • , Zahra Adeli
  • , Rawia Hamid
  • , Alaa Alhayek
  • , Norbert Reiling
  • , Jörg Haupenthal
  • , Anna K.H. Hirsch*
  • *Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

12 Citations (Scopus)
154 Downloads (Pure)

Abstract

In this work, we demonstrate how important it is to investigate not only on-target activity but to keep antibiotic activity against critical pathogens in mind. Since antimicrobial resistance is spreading in bacteria such as Mycobacterium tuberculosis, investigations into new targets are urgently needed. One promising new target is 1-deoxy-D-xylulose 5-phosphate synthase (DXPS) of the 2-C-methyl-D-erythritol 4-phosphate (MEP) pathway. We have recently solved the crystal structure of truncated M. tuberculosis DXPS and used it to perform a virtual screening in collaboration with Atomwise Inc. using their deep convolutional neural network-based AtomNet® platform. Of 94 virtual hit compounds only one showed interesting results in binding and activity studies. We synthesized 30 close derivatives using a straightforward synthetic route that allowed for easy derivatization. However, no improvement in activity was observed for any of the derivatives. Therefore, we tested them against a variety of pathogens and found them to be good inhibitors against Escherichia coli.

Original languageEnglish
Article numbere202200590
Number of pages9
JournalChemMedChem
Volume18
Issue number11
Early online date10-Mar-2023
DOIs
Publication statusPublished - 1-Jun-2023

Keywords

  • Drug discovery
  • 2-C-methyl-D-erythritol 4-phosphate pathway
  • 1-deoxy-D-xylulose 5-phosphate synthase
  • inhibitors
  • neural networks

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