lipyphilic 0.6.0

Analyse MD simulations of lipids with python

A python toolkit for the analyis 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, SciPy and pandas 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 you know how to use lipyphilic!

Analysis tools in lipyphilic include: identifying sterol flip-flop events, calculating domain registration over time, and calculating local lipid compositions. These tools position lipyphilic as complementary to, rather than competing against, existing membrane analysis software such as MemSurfer and FatSlim.

Check out the Basic Usage example to see how to use lipyphilic, and see the Analysis tools section for detailed information and exmaples 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 project, please cite MDAnalysis and if you use the Area Per Lipid tool please also cite Freud.

There is currently no paper describing lipyphilic, but we’re working on it. In the meantime, if you like what we do, please tell everyone you know to check out lipyphilic! And if there are things you think we could improve, features you would like to see added, or pesky bugs that need to be fixed, please raise an issue on github.

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.

Acknowlegment

The respository structure of lipyphilic is based on the PyLibrary Cookeicutter template.

lipyphilic CHANGELOG

0.6.0 (2021-03-26)

• PR#44 Refactor the Registration analysis to have a more useful API

• PR#43 Add a method for calculating the lipid enrichment/depletion index

• PR#42 Add a MSD and lateral diffusion analysis, as well as a transformation to perform “nojump” unwrapping.

• PR#39 Add support for assigning lipids to leaflets of highly curved membranes

0.5.0 (2021-03-16)

• PR#38 Add a trajectory transformation for unwrapping broken membranes (Fixes #37)

• PR#36 Add method for projecting areas onto the membrane plane (Fixes #33)

• PR#35 Added a tool for calculating membrane thickness (Fixes #34)

• PR#32 ZThickness.average() now returns a new ZThickness object rather than a NumPy array

• PR#31 SCC.weighted_average() now returns a new SCC object rather than a NumPy array

• PR#30 Add class for plotting projections of membrane properties onto the xy plane.

• PR#29 Added plotting of joint probability distributions or PMFs (Fixed #28).

0.4.0 (2021-03-05)

• PR#26 Added a tool to calculate the thickness of lipids or their tails (Fixes #25)

• PR#24 Added a tool to calculate the coarse-grained order parameter (Fixes #23)

• PR#22 Added a tool to calculate orientation of lipids in a bilayer (Fixes #20)

• PR#21 Added a tool to calculate lipid height in a bilayer (Fixes #19)

• Better description of analysis tools in the docs

• Updated installation instructions, including installing via conda-forge

0.3.2 (2021-02-27)

• Fix typo in requirements

0.3.1 (2021-02-27)

• Add support for numpy 1.20

0.3.0 (2021-02-26)

• Fix neighbour calculation for non-sequential residue indices Fixes #11

• Added a tool to calculate interleaflet registration

0.2.0 (2021-02-23)

• Improved documentation

• Add method to count number of each neighbour type

• Add functionality to find neighbouring lipids

0.1.0 (2021-02-17)

• Add functionality to find flip-flop events in bilayers

• Add functionality to calculate area per lipid

• Add functionality to find assign lipids to leaflets in a bilayer

0.0.0 (2021-02-08)

• First release on PyPI.