Welcome to the ProLint2’s documentation!#
Last updated: Jun 14, 2023
ProLint2 is an efficient and user-friendly framework for the automated analysis and interactive visualization of distance-based lipid-protein interactions from molecular dynamics simulations.
Installation#
To install prolint2 we recommend creating a new conda environment as follows:
conda create -n prolint2 python=3.8
conda activate prolint2
Then you can install prolint2 via pip:
pip install prolint2
Basic examples#
Using the Prolint2’s API:#
from prolint2 import PL2
from prolint2.sampledata import GIRK
target_system = PL2(GIRK.coordinates, GIRK.trajectory)
target_system.contacts.compute(cutoff=7)
target_system.contacts.export('results.csv')
Using the Prolint2’s command-line interface:#
prolint2 coordinates.gro trajectory.xtc -c 7 -e results.csv
You can find more details on how to use prolint2 in the usage page.
Contents#
License#
Source code included in this project is available under the MIT License.
Copyright#
Copyright (c) 2022, Daniel P. Ramirez & Besian I. Sejdiu
Acknowledgements#
The respository structure of ProLint2 is based on the Computational Molecular Science Python Cookiecutter version 1.6.