HOMEPRODUCTSCOMPANYCONTACTFAQResearchDictionaryPharmaSign Up FREE or Login

In silico identification and in vitro evaluation of a protein-protein interaction inhibitor of Escherichia coli fatty acid biosynthesis.

Abstract
To combat the rise in antibiotic resistance, new targets must be identified and probes against them developed. Protein-protein interactions (PPI) of bacterial type II fatty acid biosynthesis (FAS-II) represent an untapped, yet rich area for new antibiotic discovery. Here, we present a computational and in vitro workflow for the discovery of new inhibitors of PPI in Escherichia coli FAS-II. As part of this study, we identified suramin, an existing treatment for African sleeping sickness, to effectively block the interaction of E. coli dehydratase FabA and the acyl carrier protein EcACP, with an IC50 = 85 μΜ. This finding validates a workflow that combines in silico screening with in vitro PPI assays to identify probes appropriate for further optimization.
AuthorsKatherine Charov, Michael D Burkart
JournalChemical biology & drug design (Chem Biol Drug Des) Vol. 98 Issue 1 Pg. 94-101 (07 2021) ISSN: 1747-0285 [Electronic] England
PMID33905605 (Publication Type: Journal Article, Research Support, N.I.H., Extramural, Research Support, U.S. Gov't, Non-P.H.S.)
Copyright© 2021 John Wiley & Sons A/S.
Chemical References
  • Acyl Carrier Protein
  • Escherichia coli Proteins
  • Fatty Acids
  • Hydro-Lyases
Topics
  • Acyl Carrier Protein (metabolism)
  • Amino Acid Sequence
  • Computer Simulation
  • Escherichia coli (metabolism)
  • Escherichia coli Proteins (metabolism)
  • Fatty Acids (biosynthesis)
  • Hydro-Lyases (metabolism)
  • In Vitro Techniques
  • Protein Binding
  • Protein Conformation

Join CureHunter, for free Research Interface BASIC access!

Take advantage of free CureHunter research engine access to explore the best drug and treatment options for any disease. Find out why thousands of doctors, pharma researchers and patient activists around the world use CureHunter every day.
Realize the full power of the drug-disease research graph!


Choose Username:
Email:
Password:
Verify Password:
Enter Code Shown: