Boolean model of the gene regulatory network of Pseudomonas aeruginosa CCBH4851.

ABSTRACT:

Introduction

Pseudomonas aeruginosa infections are one of the leading causes of death in immunocompromised patients with cystic fibrosis, diabetes, and lung diseases such as pneumonia and bronchiectasis. Furthermore, P. aeruginosa is one of the main multidrug-resistant bacteria responsible for nosocomial infections worldwide, including the multidrug-resistant CCBH4851 strain isolated in Brazil.

Methods

One way to analyze their dynamic cellular behavior is through computational modeling of the gene regulatory network, which represents interactions between regulatory genes and their targets. For this purpose, Boolean models are important predictive tools to analyze these interactions. They are one of the most commonly used methods for studying complex dynamic beh

SUBMITTER: Chagas MDS 

PROVIDER: S-EPMC10752298 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature