MOSAICS
MOSAICS analyzes lipid bilayer structure and dynamics from molecular dynamics (MD) simulation trajectories to quantify morphological and kinetic membrane properties.
Key Features:
- Comprehensive Analysis Capabilities: Supports analysis of lipid bilayer structure and dynamics to quantify morphological and kinetic properties across a wide range of membrane types, system sizes, and resolutions.
- Spatial Distribution and Quantitative Interpretation: Computes spatial distributions of computed quantities and provides masking tools, noise filtering, and statistical significance metrics for quantitative interpretation of trajectory data.
- Trajectory Synthesis and Simplification: Provides tools to synthesize and simplify information from molecular dynamics (MD) simulation trajectories.
- Scalability and Performance: Implements fully parallelized processing and leverages supercomputing facilities to handle large datasets and extensive simulation trajectories.
Scientific Applications:
- Membrane biophysics research: Enables detailed analyses of lipid bilayer dynamics and structure for membrane biophysics studies.
- Investigation of membrane properties: Supports basic research into membrane properties using quantitative morphological and kinetic metrics.
- Analysis of complex biological membranes: Facilitates applied studies involving complex biological membranes and both simple and intricate membrane systems.
Methodology:
Processes and interprets molecular dynamics (MD) simulation trajectories to compute spatial distributions, applies masking, noise filtering, and statistical significance metrics, and performs fully parallelized computation on supercomputing facilities.
Topics
Details
- License:
- BSD-3-Clause
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- C++
- Added:
- 2/4/2023
- Last Updated:
- 2/4/2023
Operations
Publications
Bernhardt N, Faraldo-Gómez JD. MOSAICS: A software suite for analysis of membrane structure and dynamics in simulated trajectories. Biophysical Journal. 2023;122(11):2023-2040. doi:10.1016/j.bpj.2022.11.005. PMID:36333911. PMCID:PMC10257019.
PMID: 36333911