Computer-aided identification of recognized drugs as Pseudomonas aeruginosa quorum-sensing inhibitors

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Computer-aided identification of recognized drugs as Pseudomonas aeruginosa quorum-sensing inhibitors. / Yang, Liang; Rybtke, Morten Theil; Jakobsen, Tim Holm; Hentzer, Morten; Bjarnsholt, Thomas; Givskov, Michael; Tolker-Nielsen, Tim.

In: Antimicrobial Agents and Chemotherapy, Vol. 53, No. 6, 2009, p. 2432-43.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Yang, L, Rybtke, MT, Jakobsen, TH, Hentzer, M, Bjarnsholt, T, Givskov, M & Tolker-Nielsen, T 2009, 'Computer-aided identification of recognized drugs as Pseudomonas aeruginosa quorum-sensing inhibitors', Antimicrobial Agents and Chemotherapy, vol. 53, no. 6, pp. 2432-43. https://doi.org/10.1128/AAC.01283-08

APA

Yang, L., Rybtke, M. T., Jakobsen, T. H., Hentzer, M., Bjarnsholt, T., Givskov, M., & Tolker-Nielsen, T. (2009). Computer-aided identification of recognized drugs as Pseudomonas aeruginosa quorum-sensing inhibitors. Antimicrobial Agents and Chemotherapy, 53(6), 2432-43. https://doi.org/10.1128/AAC.01283-08

Vancouver

Yang L, Rybtke MT, Jakobsen TH, Hentzer M, Bjarnsholt T, Givskov M et al. Computer-aided identification of recognized drugs as Pseudomonas aeruginosa quorum-sensing inhibitors. Antimicrobial Agents and Chemotherapy. 2009;53(6):2432-43. https://doi.org/10.1128/AAC.01283-08

Author

Yang, Liang ; Rybtke, Morten Theil ; Jakobsen, Tim Holm ; Hentzer, Morten ; Bjarnsholt, Thomas ; Givskov, Michael ; Tolker-Nielsen, Tim. / Computer-aided identification of recognized drugs as Pseudomonas aeruginosa quorum-sensing inhibitors. In: Antimicrobial Agents and Chemotherapy. 2009 ; Vol. 53, No. 6. pp. 2432-43.

Bibtex

@article{af5ce7a04f4611de87b8000ea68e967b,
title = "Computer-aided identification of recognized drugs as Pseudomonas aeruginosa quorum-sensing inhibitors",
abstract = "Attenuation of Pseudomonas aeruginosa virulence by the use of small-molecule quorum-sensing inhibitors (referred to as the antipathogenic drug principle) is likely to play a role in future treatment strategies for chronic infections. In this study, structure-based virtual screening was used in a search for putative quorum-sensing inhibitors from a database comprising approved drugs and natural compounds. The database was built from compounds which showed structural similarities to previously reported quorum-sensing inhibitors, the ligand of the P. aeruginosa quorum-sensing receptor LasR, and a quorum-sensing receptor agonist. Six top-ranking compounds, all recognized drugs, were identified and tested for quorum-sensing-inhibitory activity. Three compounds, salicylic acid, nifuroxazide, and chlorzoxazone, showed significant inhibition of quorum-sensing-regulated gene expression and related phenotypes in a dose-dependent manner. These results suggest that the identified compounds have the potential to be used as antipathogenic drugs. Furthermore, the results indicate that structure-based virtual screening is an efficient tool in the search for novel compounds to combat bacterial infections.",
author = "Liang Yang and Rybtke, {Morten Theil} and Jakobsen, {Tim Holm} and Morten Hentzer and Thomas Bjarnsholt and Michael Givskov and Tim Tolker-Nielsen",
year = "2009",
doi = "10.1128/AAC.01283-08",
language = "English",
volume = "53",
pages = "2432--43",
journal = "Antimicrobial Agents and Chemotherapy",
issn = "0066-4804",
publisher = "American Society for Microbiology",
number = "6",

}

RIS

TY - JOUR

T1 - Computer-aided identification of recognized drugs as Pseudomonas aeruginosa quorum-sensing inhibitors

AU - Yang, Liang

AU - Rybtke, Morten Theil

AU - Jakobsen, Tim Holm

AU - Hentzer, Morten

AU - Bjarnsholt, Thomas

AU - Givskov, Michael

AU - Tolker-Nielsen, Tim

PY - 2009

Y1 - 2009

N2 - Attenuation of Pseudomonas aeruginosa virulence by the use of small-molecule quorum-sensing inhibitors (referred to as the antipathogenic drug principle) is likely to play a role in future treatment strategies for chronic infections. In this study, structure-based virtual screening was used in a search for putative quorum-sensing inhibitors from a database comprising approved drugs and natural compounds. The database was built from compounds which showed structural similarities to previously reported quorum-sensing inhibitors, the ligand of the P. aeruginosa quorum-sensing receptor LasR, and a quorum-sensing receptor agonist. Six top-ranking compounds, all recognized drugs, were identified and tested for quorum-sensing-inhibitory activity. Three compounds, salicylic acid, nifuroxazide, and chlorzoxazone, showed significant inhibition of quorum-sensing-regulated gene expression and related phenotypes in a dose-dependent manner. These results suggest that the identified compounds have the potential to be used as antipathogenic drugs. Furthermore, the results indicate that structure-based virtual screening is an efficient tool in the search for novel compounds to combat bacterial infections.

AB - Attenuation of Pseudomonas aeruginosa virulence by the use of small-molecule quorum-sensing inhibitors (referred to as the antipathogenic drug principle) is likely to play a role in future treatment strategies for chronic infections. In this study, structure-based virtual screening was used in a search for putative quorum-sensing inhibitors from a database comprising approved drugs and natural compounds. The database was built from compounds which showed structural similarities to previously reported quorum-sensing inhibitors, the ligand of the P. aeruginosa quorum-sensing receptor LasR, and a quorum-sensing receptor agonist. Six top-ranking compounds, all recognized drugs, were identified and tested for quorum-sensing-inhibitory activity. Three compounds, salicylic acid, nifuroxazide, and chlorzoxazone, showed significant inhibition of quorum-sensing-regulated gene expression and related phenotypes in a dose-dependent manner. These results suggest that the identified compounds have the potential to be used as antipathogenic drugs. Furthermore, the results indicate that structure-based virtual screening is an efficient tool in the search for novel compounds to combat bacterial infections.

U2 - 10.1128/AAC.01283-08

DO - 10.1128/AAC.01283-08

M3 - Journal article

C2 - 19364871

VL - 53

SP - 2432

EP - 2443

JO - Antimicrobial Agents and Chemotherapy

JF - Antimicrobial Agents and Chemotherapy

SN - 0066-4804

IS - 6

ER -

ID: 12482458