A data-driven machine learning approach for discovering potent LasR inhibitors
Author:
Affiliation:
1. Faculty of Engineering, Computing, and Science, Swinburne University of Technology, Sarawak, Malaysia
2. Department of Chemistry and Biotechnology, Swinburne University of Technology, Hawthorn, Victoria, Australia
Funder
no external funding
Publisher
Informa UK Limited
Subject
Applied Microbiology and Biotechnology,General Medicine,Bioengineering,Biotechnology
Link
https://www.tandfonline.com/doi/pdf/10.1080/21655979.2023.2243416
Reference104 articles.
1. The Building Blocks of Antimicrobial Resistance in Pseudomonas aeruginosa: Implications for Current Resistance-Breaking Therapies
2. How covid-19 is accelerating the threat of antimicrobial resistance
3. Pseudomonas aeruginosa – a phenomenon of bacterial resistance
4. Resistance Mechanisms inPseudomonas aeruginosaand Other Nonfermentative Gram‐Negative Bacteria
5. Mechanisms of antibiotic resistance in Pseudomonas aeruginosa;Lambert PA;J R Soc Med,2002
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