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.