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Cheminformatics analysis of molecular datasets of transcription factors associated with quorum sensing in Pseudomonas aeruginosa

Transcription factors associated with quorum sensing in P. aeruginosa are promising targets for discovering new adjuvants against infection with this pathogen. Regulation of these transcription factors offers the possibility of controlling multiple virulence factors related to them as biofilm develo...

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Autores principales: Victoria-Muñoz, Felipe, Sánchez-Cruz, Norberto, Medina-Franco, José L., Lopez-Vallejo, Fabian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8981735/
https://www.ncbi.nlm.nih.gov/pubmed/35424595
http://dx.doi.org/10.1039/d1ra08352j
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author Victoria-Muñoz, Felipe
Sánchez-Cruz, Norberto
Medina-Franco, José L.
Lopez-Vallejo, Fabian
author_facet Victoria-Muñoz, Felipe
Sánchez-Cruz, Norberto
Medina-Franco, José L.
Lopez-Vallejo, Fabian
author_sort Victoria-Muñoz, Felipe
collection PubMed
description Transcription factors associated with quorum sensing in P. aeruginosa are promising targets for discovering new adjuvants against infection with this pathogen. Regulation of these transcription factors offers the possibility of controlling multiple virulence factors related to them as biofilm development, proteases, hydrogen cyanide, among others. Numerous molecules have been tested against these targets, however, the keys responsible for antagonistic activity are still unknown. In this work, the structure–activity relationships of active molecules tested against LasR, PqsR, and RhlR transcription factors are analyzed in order to establish the structural characteristics associated. As part of the study, molecular complexity, scaffold, activity cliffs, and chemical space visualization analyses were conducted to find out characteristics associated with biological activity. In this study, several structural features were identified as significant for antagonist activity, highlighting molecular size and hydrogen bond acceptors.
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spelling pubmed-89817352022-04-13 Cheminformatics analysis of molecular datasets of transcription factors associated with quorum sensing in Pseudomonas aeruginosa Victoria-Muñoz, Felipe Sánchez-Cruz, Norberto Medina-Franco, José L. Lopez-Vallejo, Fabian RSC Adv Chemistry Transcription factors associated with quorum sensing in P. aeruginosa are promising targets for discovering new adjuvants against infection with this pathogen. Regulation of these transcription factors offers the possibility of controlling multiple virulence factors related to them as biofilm development, proteases, hydrogen cyanide, among others. Numerous molecules have been tested against these targets, however, the keys responsible for antagonistic activity are still unknown. In this work, the structure–activity relationships of active molecules tested against LasR, PqsR, and RhlR transcription factors are analyzed in order to establish the structural characteristics associated. As part of the study, molecular complexity, scaffold, activity cliffs, and chemical space visualization analyses were conducted to find out characteristics associated with biological activity. In this study, several structural features were identified as significant for antagonist activity, highlighting molecular size and hydrogen bond acceptors. The Royal Society of Chemistry 2022-02-28 /pmc/articles/PMC8981735/ /pubmed/35424595 http://dx.doi.org/10.1039/d1ra08352j Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by/3.0/
spellingShingle Chemistry
Victoria-Muñoz, Felipe
Sánchez-Cruz, Norberto
Medina-Franco, José L.
Lopez-Vallejo, Fabian
Cheminformatics analysis of molecular datasets of transcription factors associated with quorum sensing in Pseudomonas aeruginosa
title Cheminformatics analysis of molecular datasets of transcription factors associated with quorum sensing in Pseudomonas aeruginosa
title_full Cheminformatics analysis of molecular datasets of transcription factors associated with quorum sensing in Pseudomonas aeruginosa
title_fullStr Cheminformatics analysis of molecular datasets of transcription factors associated with quorum sensing in Pseudomonas aeruginosa
title_full_unstemmed Cheminformatics analysis of molecular datasets of transcription factors associated with quorum sensing in Pseudomonas aeruginosa
title_short Cheminformatics analysis of molecular datasets of transcription factors associated with quorum sensing in Pseudomonas aeruginosa
title_sort cheminformatics analysis of molecular datasets of transcription factors associated with quorum sensing in pseudomonas aeruginosa
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8981735/
https://www.ncbi.nlm.nih.gov/pubmed/35424595
http://dx.doi.org/10.1039/d1ra08352j
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