Computational guided identification of novel anti-mycobacterial agent proved by in-vitro and in-vivo validation.

ABSTRACT:

Background

An upsurge of antibiotic resistant bacteria such as Mycobacterium tuberculosis is recorded on daily bases as a result of many factors including: the daily antibiotics exploitation, failure to follow lengthy complex drug regimen, and ongoing bacterial mutation. TB treatment protocol is usually a lengthy and expensive one that is composed of 4 or even 5 drugs that have multiple substantial side effects. Traditional drug discovery methodologies are usually lengthy multifaceted process complicated with unpredictable outcomes in terms of efficacy and safety, hence there is an urge to find innovative drug discovery method that can produce multiple novel potential antimycobacterial agents that are safe and effective both in-vitro and in-vivo.

Results

The obtained results

SUBMITTER: Shalaby MM 

PROVIDER: S-EPMC12445033 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature