DynamiSpectra

DynamiSpectra automates descriptive statistical analysis and visualization of molecular dynamics simulation trajectories, enabling comparative analyses across multiple simulation replicas.

Key Features:

• Structural Analysis: Calculates RMSD, RMSF, radius of gyration, SASA, hydrogen bonds, salt bridges, secondary structure probability and fraction, and principal component analysis.
• Protein-Ligand Analysis: Computes protein-ligand contacts, protein-ligand minimum distance, protein-ligand hydrophobic contacts, ligand occupancy maps, and ligand dihedral angles.
• Conformational Analysis: Determines inter-residue distance matrices, phi and psi angles, and rotamers (χ1 and χ2).
• System Property Analysis: Analyzes pressure, temperature, and density within the simulation system.
• Statistical Integration: Automatically calculates mean and standard deviation across multiple simulation replicas with integrated descriptive statistics in graphical outputs.
• GROMACS Compatibility: Streamlines processing of GROMACS-generated files without requiring topology file handling.

Scientific Applications:

• Multi-Replica Comparative Analysis: Enables automated comparative analyses across multiple molecular dynamics simulation replicas with statistical quantification.
• Protein Structural Dynamics: Characterizes protein structural stability, flexibility, and conformational changes through RMSD, RMSF, and radius of gyration calculations.
• Protein-Ligand Interaction Studies: Maps ligand binding behavior, contact patterns, and hydrophobic interactions to evaluate binding mechanisms.
• Secondary Structure Monitoring: Tracks secondary structure probability and fraction changes throughout simulation trajectories.
• Temperature-Dependent Simulations: Supports analysis of simulations performed under varying conditions, as demonstrated with β-amyloid peptide simulations at different temperatures.

Methodology:

DynamiSpectra is implemented as a Python package that processes molecular dynamics trajectory data, automates descriptive statistical calculations (mean and standard deviation), and generates graphical outputs. Comparative validation was performed against widely used molecular dynamics analysis packages to verify result consistency.