Back to search

Article

In-silico functional prediction of novel tuberculosis pharmacogenetic variants and NAT2 phenotype prediction in African populations

2026-08-19

Abstract excerpt

Tuberculosis (TB) remains a major public health challenge, exerting profound socio-economic burdens and causing debilitating illness in approximately 2.5 million individuals across Africa annually. Optimized large-scale treatment regimens, such as NAT2 -genotype adjusted dosing, could improve patient outcomes and strengthen healthcare systems. However, fully addressing the complexity of multi-drug TB treatment re...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
9049a132-71f5-558f-a9d7-96c24b4ea077
DOI
10.64898/2026.08.17.26360486
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
In-silico functional prediction of novel tuberculosis pharmacogenetic variants and NAT2 phenotype prediction in African populationsDOI 10.64898/2026.08.17.26360486
Select a neighboring publication to make it the new centre.