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Antibacterial mechanisms identified through structural systems pharmacology

BACKGROUND: The growing discipline of structural systems pharmacology is applied prospectively in this study to predict pharmacological outcomes of antibacterial compounds in Escherichia coli K12. This work builds upon previously established methods for structural prediction of ligand binding pocket...

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Autores principales: Chang, Roger L, Xie, Lei, Bourne, Philip E, Palsson, Bernhard O
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3853765/
https://www.ncbi.nlm.nih.gov/pubmed/24112686
http://dx.doi.org/10.1186/1752-0509-7-102
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author Chang, Roger L
Xie, Lei
Bourne, Philip E
Palsson, Bernhard O
author_facet Chang, Roger L
Xie, Lei
Bourne, Philip E
Palsson, Bernhard O
author_sort Chang, Roger L
collection PubMed
description BACKGROUND: The growing discipline of structural systems pharmacology is applied prospectively in this study to predict pharmacological outcomes of antibacterial compounds in Escherichia coli K12. This work builds upon previously established methods for structural prediction of ligand binding pockets on protein molecules and utilizes and expands upon the previously developed genome scale model of metabolism integrated with protein structures (GEM-PRO) for E. coli, structurally accounting for protein complexes. Carefully selected case studies are demonstrated to display the potential for this structural systems pharmacology framework in discovery and development of antibacterial compounds. RESULTS: The prediction framework for antibacterial activity of compounds was validated for a control set of well-studied compounds, recapitulating experimentally-determined protein binding interactions and deleterious growth phenotypes resulting from these interactions. The antibacterial activity of fosfomycin, sulfathiazole, and trimethoprim were accurately predicted, and as a negative control glucose was found to have no predicted antibacterial activity. Previously uncharacterized mechanisms of action were predicted for compounds with known antibacterial properties, including (1-hydroxyheptane-1,1-diyl)bis(phosphonic acid) and cholesteryl oleate. Five candidate inhibitors were predicted for a desirable target protein without any known inhibitors, tryptophan synthase β subunit (TrpB). In addition to the predictions presented, this effort also included significant expansion of the previously developed GEM-PRO to account for physiological assemblies of protein complex structures with activities included in the E. coli K12 metabolic network. CONCLUSIONS: The structural systems pharmacology framework presented in this study was shown to be effective in the prediction of molecular mechanisms of antibacterial compounds. The study provides a promising proof of principle for such an approach to antibacterial development and raises specific molecular and systemic hypotheses about antibacterials that are amenable to experimental testing. This framework, and perhaps also the specific predictions of antibacterials, is extensible to developing antibacterial treatments for pathogenic E. coli and other bacterial pathogens.
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spelling pubmed-38537652013-12-07 Antibacterial mechanisms identified through structural systems pharmacology Chang, Roger L Xie, Lei Bourne, Philip E Palsson, Bernhard O BMC Syst Biol Research Article BACKGROUND: The growing discipline of structural systems pharmacology is applied prospectively in this study to predict pharmacological outcomes of antibacterial compounds in Escherichia coli K12. This work builds upon previously established methods for structural prediction of ligand binding pockets on protein molecules and utilizes and expands upon the previously developed genome scale model of metabolism integrated with protein structures (GEM-PRO) for E. coli, structurally accounting for protein complexes. Carefully selected case studies are demonstrated to display the potential for this structural systems pharmacology framework in discovery and development of antibacterial compounds. RESULTS: The prediction framework for antibacterial activity of compounds was validated for a control set of well-studied compounds, recapitulating experimentally-determined protein binding interactions and deleterious growth phenotypes resulting from these interactions. The antibacterial activity of fosfomycin, sulfathiazole, and trimethoprim were accurately predicted, and as a negative control glucose was found to have no predicted antibacterial activity. Previously uncharacterized mechanisms of action were predicted for compounds with known antibacterial properties, including (1-hydroxyheptane-1,1-diyl)bis(phosphonic acid) and cholesteryl oleate. Five candidate inhibitors were predicted for a desirable target protein without any known inhibitors, tryptophan synthase β subunit (TrpB). In addition to the predictions presented, this effort also included significant expansion of the previously developed GEM-PRO to account for physiological assemblies of protein complex structures with activities included in the E. coli K12 metabolic network. CONCLUSIONS: The structural systems pharmacology framework presented in this study was shown to be effective in the prediction of molecular mechanisms of antibacterial compounds. The study provides a promising proof of principle for such an approach to antibacterial development and raises specific molecular and systemic hypotheses about antibacterials that are amenable to experimental testing. This framework, and perhaps also the specific predictions of antibacterials, is extensible to developing antibacterial treatments for pathogenic E. coli and other bacterial pathogens. BioMed Central 2013-10-10 /pmc/articles/PMC3853765/ /pubmed/24112686 http://dx.doi.org/10.1186/1752-0509-7-102 Text en Copyright © 2013 Chang et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Chang, Roger L
Xie, Lei
Bourne, Philip E
Palsson, Bernhard O
Antibacterial mechanisms identified through structural systems pharmacology
title Antibacterial mechanisms identified through structural systems pharmacology
title_full Antibacterial mechanisms identified through structural systems pharmacology
title_fullStr Antibacterial mechanisms identified through structural systems pharmacology
title_full_unstemmed Antibacterial mechanisms identified through structural systems pharmacology
title_short Antibacterial mechanisms identified through structural systems pharmacology
title_sort antibacterial mechanisms identified through structural systems pharmacology
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3853765/
https://www.ncbi.nlm.nih.gov/pubmed/24112686
http://dx.doi.org/10.1186/1752-0509-7-102
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