دورية أكاديمية

Property space mapping of Pseudomonas aeruginosa permeability to small molecules

التفاصيل البيبلوغرافية
العنوان: Property space mapping of Pseudomonas aeruginosa permeability to small molecules
المؤلفون: Inga V. Leus, Jon W. Weeks, Vincent Bonifay, Yue Shen, Liang Yang, Connor J. Cooper, Dinesh Nath, Adam S. Duerfeldt, Jeremy C. Smith, Jerry M. Parks, Valentin V. Rybenkov, Helen I. Zgurskaya
المصدر: Scientific Reports, Vol 12, Iss 1, Pp 1-17 (2022)
بيانات النشر: Nature Portfolio, 2022.
سنة النشر: 2022
المجموعة: LCC:Medicine
LCC:Science
مصطلحات موضوعية: Medicine, Science
الوصف: Abstract Two membrane cell envelopes act as selective permeability barriers in Gram-negative bacteria, protecting cells against antibiotics and other small molecules. Significant efforts are being directed toward understanding how small molecules permeate these barriers. In this study, we developed an approach to analyze the permeation of compounds into Gram-negative bacteria and applied it to Pseudomonas aeruginosa, an important human pathogen notorious for resistance to multiple antibiotics. The approach uses mass spectrometric measurements of accumulation of a library of structurally diverse compounds in four isogenic strains of P. aeruginosa with varied permeability barriers. We further developed a machine learning algorithm that generates a deterministic classification model with minimal synonymity between the descriptors. This model predicted good permeators into P. aeruginosa with an accuracy of 89% and precision above 58%. The good permeators are broadly distributed in the property space and can be mapped to six distinct regions representing diverse chemical scaffolds. We posit that this approach can be used for more detailed mapping of the property space and for rational design of compounds with high Gram-negative permeability.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2045-2322
Relation: https://doaj.org/toc/2045-2322
DOI: 10.1038/s41598-022-12376-1
URL الوصول: https://doaj.org/article/c8beeb71c6274a14889057ff8ee519e0
رقم الأكسشن: edsdoj.8beeb71c6274a14889057ff8ee519e0
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20452322
DOI:10.1038/s41598-022-12376-1