MDM-TASK-web

MDM-TASK-web performs analysis of protein dynamics by integrating MD-TASK and MODE-TASK methods to provide dynamic residue network analysis, perturbation-response scanning, essential dynamics, dynamic cross-correlation, normal mode analysis, and communication propensity assessments.

Key Features:

• Dynamic Residue Network Analysis: Provides eight centrality metrics for analyzing static structures and molecular dynamics trajectories to identify structurally and functionally important residues.
• Perturbation-Response Scanning: Assesses the effects of perturbations on protein dynamics to identify responses related to stability and function.
• Essential Dynamics: Includes comparative essential dynamics for comparison of independent molecular dynamics (MD) simulations to characterize dominant conformational changes.
• Dynamic Cross-Correlation Analysis: Identifies correlated residue motions within structures and MD trajectories to reveal cooperative movements.
• Normal Mode Analysis: Applies normal mode analysis to static structures and MD simulations for large-scale motion characterization of protein complexes.
• Communication Propensity Tool: Evaluates efficiency of residue–residue communication within proteins to probe intramolecular interaction pathways.

Scientific Applications:

• Protein dynamics analysis: Dissects conformational changes and correlated motions in proteins from MD simulations and static structures.
• Structural biology and functional annotation: Identifies residues and networks relevant to structure–function relationships using centrality metrics and communication propensity.
• Molecular simulation comparison and interpretation: Compares independent MD simulations and analyzes perturbation responses and normal modes to interpret simulation-derived mechanisms.

Methodology:

Implements MD-TASK and MODE-TASK computational methods including dynamic residue network analysis with eight centrality metrics, perturbation-response scanning, comparative essential dynamics for MD simulations, dynamic cross-correlation, normal mode analysis for static and simulated structures, and communication propensity calculations.