MDPath

MDPath analyzes allosteric communication paths in molecular dynamics simulations using normalized mutual information (NMI)-based analysis of residue dihedral angle movements.

Key Features:

• Allosteric Pathway Identification: Calculates allosteric communication pathways by analyzing mutual information of residue dihedral angle movements throughout molecular dynamics simulations.
• Ligand-Specific Allosteric Effect Detection: Reveals how protein-ligand interactions drive conformational changes and ligand-specific allosteric effects.
• Normalized Mutual Information Analysis: Employs NMI-based analysis to quantify relationships between residue motions.
• Open-Source Framework: Provides a Python toolkit for mapping allosteric communication within proteins.

Scientific Applications:

• GPCR Allosteric Mechanism Elucidation: Identifies established and novel allosteric mechanisms in G protein-coupled receptors including beta2-adrenoceptor, adenosine A2A receptor, and mu-opioid receptor.
• Kinase Inhibitor Analysis: Analyzes ABL1 kinase in complex with allosteric and orthosteric inhibitors to demonstrate broader applicability beyond GPCRs.
• Structure-Based Drug Design: Advances rational drug design by mapping allosteric communication networks in drug targets.

Methodology:

MDPath analyzes molecular dynamics trajectories by calculating normalized mutual information between residue dihedral angle movements to identify allosteric communication pathways.