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R35NIH · NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCESNIH

Mechanism of Slow Onset Enzyme Inhibition and Translation to Time-Dependent Drug Activity

Tonge, Peter J (Contact)·STATE UNIVERSITY NEW YORK STONY BROOK, NY·2023–2028·ACTIVE
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INSTITUTION

STATE UNIVERSITY NEW YORK STONY BROOK, NY

PRINCIPAL INVESTIGATOR

Tonge, Peter J (Contact)

FUNDING

$392K

YEAR

2023

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Abstract

Many drug candidates fail in clinical trials due to lack of efficacy or insufficient safety. We speculate that our poor success rate at predicting in vivo drug efficacy stems from a reliance on in vitro assessments of drug activity that are performed at constant drug concentration (under equilibrium conditions), when in fact drug concentration is not constant in the human body. We thus propose that the kinetics of drug-target complex formation and breakdown is a critical factor in modulating drug action. In this proposal we will elucidate the molecular factors that dictate the impact of drug-target residence time on in vivo drug activity. These studies will focus on inhibitors of three antibacterial targets: UDP-3-O-(R-3-hydroxymyristoyl)-N-acetylglucosamine deacetylase (LpxC), acetyl-CoA carboxylase (ACC) and leucyl-tRNA synthetase (LeuRS). We will quantify the role that intracellular events such as target (re)synthesis, target degradation and target vulnerability have on the correlation between drug-target residence time and antibacterial activity determined as a function of drug concentration. This includes the prolongation of antibacterial activity following removal of drug from the system (the post-antibiotic effect). We will develop structure-kinetics relationships for time-dependent enzyme inhibition using a combination of structural and computational biology coupled with enzyme kinetics and synthesize inhibitors with extended target engagement. A mathematical model will be used that links drug-target kinetics and drug pharmacokinetics with predictions of antibacterial activity in whole cells and animal models of infection. Improved ability to predict in vivo drug action from in vitro parameters will have a dramatic impact on the discovery of new therapeutic agents.

R35NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCESMaximizing Investigators’ Research Award B Study Section[MRAB]modelscoupledhumanmodulatinglinksimpacttargetmathematicalfactorprolongationdictatesynthesisdegradationundercomplexconditionsstructuralsynthetaseleucyl

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