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Correlating drug–target kinetics and in vivo pharmacodynamics: long residence time inhibitors of the FabI enoyl-ACP reductase
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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Royal Society of Chemistry
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4988406/ https://www.ncbi.nlm.nih.gov/pubmed/27547299 http://dx.doi.org/10.1039/c6sc01000h |
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author | Daryaee, Fereidoon Chang, Andrew Schiebel, Johannes Lu, Yang Zhang, Zhuo Kapilashrami, Kanishk Walker, Stephen G. Kisker, Caroline Sotriffer, Christoph A. Fisher, Stewart L. Tonge, Peter J. |
author_facet | Daryaee, Fereidoon Chang, Andrew Schiebel, Johannes Lu, Yang Zhang, Zhuo Kapilashrami, Kanishk Walker, Stephen G. Kisker, Caroline Sotriffer, Christoph A. Fisher, Stewart L. Tonge, Peter J. |
author_sort | Daryaee, Fereidoon |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4988406 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Royal Society of Chemistry |
record_format | MEDLINE/PubMed |
spelling | pubmed-49884062017-09-01 Correlating drug–target kinetics and in vivo pharmacodynamics: long residence time inhibitors of the FabI enoyl-ACP reductase Daryaee, Fereidoon Chang, Andrew Schiebel, Johannes Lu, Yang Zhang, Zhuo Kapilashrami, Kanishk Walker, Stephen G. Kisker, Caroline Sotriffer, Christoph A. Fisher, Stewart L. Tonge, Peter J. Chem Sci Chemistry 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. Royal Society of Chemistry 2016-09-01 2016-05-25 /pmc/articles/PMC4988406/ /pubmed/27547299 http://dx.doi.org/10.1039/c6sc01000h Text en This journal is © The Royal Society of Chemistry 2016 http://creativecommons.org/licenses/by-nc/3.0/ This article is freely available. This article is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported Licence (CC BY-NC 3.0) |
spellingShingle | Chemistry Daryaee, Fereidoon Chang, Andrew Schiebel, Johannes Lu, Yang Zhang, Zhuo Kapilashrami, Kanishk Walker, Stephen G. Kisker, Caroline Sotriffer, Christoph A. Fisher, Stewart L. Tonge, Peter J. Correlating drug–target kinetics and in vivo pharmacodynamics: long residence time inhibitors of the FabI enoyl-ACP reductase |
title | Correlating drug–target kinetics and in vivo pharmacodynamics: long residence time inhibitors of the FabI enoyl-ACP reductase
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title_full | Correlating drug–target kinetics and in vivo pharmacodynamics: long residence time inhibitors of the FabI enoyl-ACP reductase
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title_fullStr | Correlating drug–target kinetics and in vivo pharmacodynamics: long residence time inhibitors of the FabI enoyl-ACP reductase
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title_full_unstemmed | Correlating drug–target kinetics and in vivo pharmacodynamics: long residence time inhibitors of the FabI enoyl-ACP reductase
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title_short | Correlating drug–target kinetics and in vivo pharmacodynamics: long residence time inhibitors of the FabI enoyl-ACP reductase
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title_sort | correlating drug–target kinetics and in vivo pharmacodynamics: long residence time inhibitors of the fabi enoyl-acp reductase |
topic | Chemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4988406/ https://www.ncbi.nlm.nih.gov/pubmed/27547299 http://dx.doi.org/10.1039/c6sc01000h |
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