Future Research Directions on Mycobacterium tuberculosis Proteins.

Area of Science:

• Microbiology
• Biochemistry
• Genomics

Background:

• Tuberculosis (TB) remains a global health challenge, exacerbated by increasing drug resistance in Mycobacterium tuberculosis (Mtb).
• Understanding Mtb protein functions, interactions, and drug resistance mechanisms is vital for developing new control strategies.
• Elucidating Mtb proteome is essential for identifying novel therapeutic targets and improving diagnostic tools.

Purpose of the Study:

• To review recent advancements in Mycobacterium tuberculosis (Mtb) protein research.
• To highlight the impact of cutting-edge technologies and computational approaches on TB research.
• To underscore the potential of integrated innovations in accelerating TB diagnosis, treatment, and control.

Main Methods:

• Single-cell proteomics, cryo-electron microscopy, and spatial proteomics for high-resolution protein analysis.
• Posttranslational modification analysis and dynamic proteomic profiling to understand bacterial adaptation.
• Integrative multi-omics, artificial intelligence (AI), machine learning, and CRISPR-based functional genomics for functional annotation and gene regulation studies.

Main Results:

• Novel therapeutic targets identified through elucidation of Mtb protein structures and interactions.
• Unprecedented resolution of protein localization, dynamics, and host-pathogen interactions achieved.
• AI-powered diagnostics and genomic surveillance are transforming TB detection and drug resistance profiling.

Conclusions:

• Integrating experimental and computational innovations deepens the understanding of Mtb biology.
• These advancements accelerate drug discovery and enhance diagnostic capabilities for TB.
• The research contributes to global efforts in combating tuberculosis, especially in resource-limited settings.