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LiPyphilic: A Python Toolkit for the Analysis of Lipid Membrane Simulations.

Paul Smith¹, Christian D Lorenz¹

¹Department of Physics, King's College London, London WC2R 2LS, U.K.

Journal of Chemical Theory and Computation

|August 27, 2021

Summary

LiPyphilic is a new Python package that analyzes complex lipid membrane simulations. It offers tools for cholesterol flip-flop events, local lipid environments, and interleaflet registration, improving simulation analysis.

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Area of Science:

Computational biophysics
Molecular modeling and simulation

Background:

Molecular dynamics (MD) simulations are crucial for understanding complex lipid membrane behavior.
Analyzing emergent phenomena in lipid membranes requires specialized computational tools.

Purpose of the Study:

To introduce LiPyphilic, a novel, user-friendly Python package for analyzing complex lipid membrane simulations.
To provide advanced analytical capabilities for lipid membrane systems.

Main Methods:

LiPyphilic utilizes the MDAnalysis library for flexible atom selection, supporting various force fields and resolutions.
It includes tools for identifying cholesterol flip-flop events and classifying local lipid environments.
On-the-fly trajectory transformations, including a novel nojump coordinate unwrapping method accounting for NPT ensemble volume fluctuations, are implemented.

Main Results:

LiPyphilic offers fast, fully tested, and easy-to-install analysis tools for complex membrane simulations.
The package accurately identifies cholesterol flip-flop events and quantifies interleaflet registration.
The nojump unwrapping method corrects for box volume fluctuations, enhancing trajectory analysis accuracy.

Conclusions:

LiPyphilic provides a robust and versatile platform for the analysis of molecular dynamics simulations of lipid membranes.
Its features facilitate deeper insights into membrane properties and dynamics, particularly for complex compositions.