Description:
lipyphilic 0.11.0
A Python toolkit for the analysis of lipid membrane simulations
lipyphilic is free software licensed under the GNU General Public License v2 or later (GPLv2+)
Overview
lipyphilic is a set of tools for analysing MD simulations of lipid bilayers. It is an object-oriented
Python package built directly on top of MDAnalysis, and makes use of
NumPy and SciPy for efficient computation.
The analysis classes are designed with the same interface as those of MDAnalysis - so if you know how to
use analysis modules in MDAnalysis then learning lipyphilic
will be a breeze.
Analysis tools in lipyphilic include: identifying sterol flip-flop events, calculating domain registration over time,
and calculating local lipid compositions. lipyphilic also has an on-the-fly trajectory transformation to fix
membranes split across periodic boundaries.
These tools position lipyphilic as complementary to, rather than competing against, existing membrane analysis
software such as MemSurfer and FatSlim.
Interactive tutorials
We recommend new users take a look out our interactive tutorials. These will show you how to get the most out of lipyphilic
Basic Usage
Alternatively, check out the Basic Usage example to see how to use
lipyphilic, and see the Analysis tools
section for detailed information and examples on each tool.
Installation
The easiest way to install lipyphilic along with its dependencies is through Conda:
conda config --add channels conda-forge
conda install lipyphilic
See the installation guide for futher information.
Citing
If you use lipyphilic in your research, please cite our paper:
@article{LiPyphilic2021,
author = {Smith, Paul and Lorenz, Christian D.},
title = {LiPyphilic: A Python Toolkit for the Analysis of Lipid Membrane Simulations},
journal = {Journal of Chemical Theory and Computation},
year = {2021},
volume = {17},
number = {9},
pages = {5907-5919},
doi = {10.1021/acs.jctc.1c00447}
}
Please also cite MDAnalysis, on which lipyphilic is built.
If you use the Area Per Lipid tool please also cite Freud.
Full documentation
Head to lipyphilic.readthedocs.io, where you will find the full
documentation of lipyphilic’s API as well as examples of how to use the analysis tools.
Acknowledgement
The respository structure and configuration of lipyphilic was initially based on the
PyLibrary Cookeicutter template.
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
Customer Reviews
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