QSAR Models for Active Substances against <i>Pseudomonas aeruginosa</i> Using Disk-Diffusion Test Data

QSAR Models for Active Substances against <i>Pseudomonas aeruginosa</i> Using Disk-Diffusion Test Data

<i>Pseudomonas aeruginosa </i>is a Gram-negative bacillus included among the six “ESKAPE” microbial species with an outstanding ability to “escape” currently used antibiotics and developing new antibiotics against it is of the highest priority. Whereas minimum inhibitory concentration (M...

Full description

Bibliographic Details
Main Authors: Cosmin Alexandru Bugeac, Robert Ancuceanu, Mihaela Dinu
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Molecules
Subjects:
pseudomonas
antimicrobial
QSAR
chemical descriptors
machine-learning
KNN
Online Access:https://www.mdpi.com/1420-3049/26/6/1734

Internet

https://www.mdpi.com/1420-3049/26/6/1734

Similar Items