Combined machine learning and pharmacophore based virtual screening approaches to screen for antibiofilm inhibitors targeting LasR of <i>Pseudomonas aeruginosa</i>-Reference-Cited by-同舟云学术

Combined machine learning and pharmacophore based virtual screening approaches to screen for antibiofilm inhibitors targeting LasR of Pseudomonas aeruginosa

Published:2022-04-22 Issue: Volume: Page:1-19
ISSN:0739-1102
Container-title:Journal of Biomolecular Structure and Dynamics
language:en
Short-container-title:Journal of Biomolecular Structure and Dynamics

Author:

Vetrivel Aishwarya¹,Ramasamy Janani¹,Natchimuthu Santhi¹,Senthil Kalaiselvi¹,Ramasamy Monica¹,Murugesan Rajeswari¹

Affiliation:

1. Department of Biochemistry, Biotechnology and Bioinformatics, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, Tamil Nadu, India

Publisher

Informa UK Limited

Subject

Molecular Biology,General Medicine,Structural Biology

Link

https://www.tandfonline.com/doi/pdf/10.1080/07391102.2022.2064331

Reference60 articles.

1. QSAR modeling of benzoquinone derivatives as 5-lipoxygenase inhibitors

2. Natural quorum sensing inhibitors effectively downregulate gene expression of Pseudomonas aeruginosa virulence factors

3. Additive Effects of Quorum Sensing Anti-Activators on Pseudomonas aeruginosa Virulence Traits and Transcriptome

4. Identification of Synthetic Inducers and Inhibitors of the Quorum-Sensing Regulator LasR in Pseudomonas aeruginosa by High-Throughput Screening

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