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Correlating drug-target kinetics and: In vivo pharmacodynamics: Long residence time inhibitors of the FabI enoyl-ACP reductase

  • Fereidoon Daryaee
  • , Andrew Chang
  • , Johannes Schiebel
  • , Yang Lu
  • , Zhuo Zhang
  • , Kanishk Kapilashrami
  • , Stephen G. Walker
  • , Caroline Kisker
  • , Christoph A. Sotriffer
  • , Stewart L. Fisher
  • , Peter J. Tonge
  • Stony Brook University
  • University of Würzburg
  • Broad Institute

Research output: Contribution to journalArticlepeer-review

28 Scopus citations

Abstract

Drug-target kinetics enable time-dependent changes in target engagement to be quantified as a function of drug concentration. When coupled to drug pharmacokinetics (PK), drug-target kinetics can thus be used to predict in vivo pharmacodynamics (PD). Previously we described a mechanistic PK/PD model that successfully predicted the antibacterial activity of an LpxC inhibitor in a model of Pseudomonas aeruginosa infection. In the present work we demonstrate that the same approach can be used to predict the in vivo activity of an enoyl-ACP reductase (FabI) inhibitor in a model of methicillin-resistant Staphylococcus aureus (MRSA) infection. This is significant because the LpxC inhibitors are cidal, whereas the FabI inhibitors are static. In addition P. aeruginosa is a Gram-negative organism whereas MRSA is Gram-positive. Thus this study supports the general applicability of our modeling approach across antibacterial space.

Original languageEnglish
Pages (from-to)5945-5954
Number of pages10
JournalChemical Science
Volume7
Issue number9
DOIs
StatePublished - 2016

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