LipidDyn

LipidDyn analyzes molecular dynamics (MD) simulations of cellular membranes to quantify lipid-dependent membrane properties and dynamics.

Key Features:

• Python-based pipeline: Implements a Python-based pipeline to analyze MD simulations of membranes with varying lipid compositions.
• Integration with lipidomics data: Leverages high-throughput lipidomic data to construct biologically relevant membrane models reflecting subcellular diversity.
• Comprehensive analysis capabilities: Computes area per lipid, membrane thickness, order parameters, diffusion motions, lipid density, and time series and averages for lipid enrichment or depletion.
• Lipid–protein interaction analysis: Quantifies lipid–protein interactions including effects around transmembrane protein domains.
• Efficient data processing: Supports parallelized processing and optimization to handle large-scale MD simulation datasets.
• Graphical outputs: Generates publication-ready graphical outputs summarizing membrane properties and dynamics.

Scientific Applications:

• Membrane biophysics: Study how lipid composition modulates membrane properties such as order, thickness, and diffusion.
• Protein–lipid interaction studies: Investigate interactions between lipids and transmembrane protein domains and their effects on membrane behavior.
• Organelle-specific membrane modeling: Simulate membranes from different cellular compartments to explore organelle-level lipid diversity and dynamics.
• Disease-related membrane dynamics: Explore how changes in lipid composition and environmental conditions impact membrane dynamics with implications for disease mechanisms.

Methodology:

Employs molecular dynamics (MD) simulations to investigate lipid–lipid and lipid–protein interactions across multiple timescales and resolutions, using parallelization and software/hardware optimization for long-duration biomolecular simulations.