Probing the structure of Mycobacterium tuberculosis MbtA: model validation using molecular dynamics simulations and...

Area of Science:

• Biochemistry and Molecular Biology
• Drug Discovery and Development
• Computational Chemistry

Background:

• Multidrug resistance in Mycobacterium tuberculosis necessitates novel antitubercular agents.
• The M. tuberculosis-MbtA enzyme, crucial for siderophore biosynthesis, is a promising target for drug development.
• Understanding MbtA's structure-function relationship is vital for designing effective inhibitors.

Purpose of the Study:

• To construct and validate molecular models of M. tuberculosis-MbtA (holo and apo forms).
• To investigate the binding of novel adenosine derivatives to MbtA using computational methods.
• To gain insights into ligand-receptor interactions for MbtA inhibition and guide rational drug design.

Main Methods:

• Homology modeling and validation of M. tuberculosis-MbtA.
• Molecular docking studies using GOLD software with 42 adenosine derivatives.
• All-atom molecular dynamics simulations for apo and holo MbtA forms.
• Interaction energy calculations to identify key binding residues.

Main Results:

• Docking studies showed a significant correlation between Goldscore and binding affinity (R²=0.8611).
• Binding energy calculations further supported observed affinities (R²=0.901).
• Molecular dynamics simulations revealed enzyme-ligand interactions and validated the MbtA models.
• The holo model successfully differentiated active compounds from decoys.

Conclusions:

• Computational models of MbtA provide valuable insights for rational drug design.
• The study identified key residues involved in MbtA ligand binding.
• These findings facilitate the development of potent and selective MbtA inhibitors as antitubercular therapeutics.