FAIRMD Lipids
This is the FAIRMD Lipids — an API package for the community-driven catalogue FAIRMD Lipid Databank (formerly NMRlipids Databank) containing atomistic MD simulations of biologically relevant lipid membranes emerging from the NMRlipids Open Collaboration.
Installation
The code has been tested in Linux and MacOS environment with python 3.10 and 3.13. Recent Gromacs version should be available in the system. All dependecies are listed in pyproject.toml.
We recommend installing python libraries into an environment, for example, using conda:
conda create --name fairmd-lipids python==3.10 -c conda-forge
conda activate fairmd-lipids
Install fairmd-lipids package from repo:
pip install git+https://github.com/NMRLipids/FAIRMD_lipids.git
or from pypi:
pip install fairmd-lipids
Note that the data is stored as a separated repository and should be loaded after
cloning. Default data storage is
BilayerData. You MUST specify
FMDL_DATA_PATH before start working. The easiest way to start is to use
fmdl_initialize_data script provided with the package:
fmdl_initialize_data stable
source databank_env.rc
Then you can work with the standalone scripts as well as use fairmd-lipids package in
your python code.
Documentation
The FAIRMD Lipids project documentation is available in here. More information and example applications are available from the FAIRMD Lipids manuscript.
The fairmd-lipids python module provides programmatic access to all simulation data in
the FAIRMD Lipids. It allows to request data to construct various datasets on the base
of experimental and simulation data from the database that allow one to learn various
models about lipid bilayer properties. It also allows to design and effectively run
automated analysis across all the simulations in the database.
How to use
A jupyter template notebook can be used to get started with the analyses utilizing the FAIRMD Lipids.
Connection of Universal molecule and atom naming
conventions
with simulation specific names delivered by mapping files can be used to perform
automatic analyses over large sets of simulations. The results for large analyses can be
stored using the same structure as used for README.yaml files as done, for example,
for water
permeation
and lipid
flip-flop
rates in the repository related to the FAIRMD Lipids
manuscript.
Web UI
FAIRMD Lipids-webUI provides an easy access to the FAIRMD Lipids content. Simulations can be searched based on their molecular composition, force field, temperature, membrane properties, and quality; the search results are ranked based on the simulation quality as evaluated against experimental data when available. Web-UI provides basic graphical reports for the computed properties as well as graphical comparison between simulation and experimental data.
The Web-UI is being developed in the repository BilayerGUI_laravel.
Upload Portal
The FAIRMD Upload-Portal enables researchers to easily contribute new simulation metadata to the BilayerData Repository. Users can upload simulation metadata, which is automatically validated and processed through workflows within the data repository.
Contribution
The project is open for contributions!
Please consult CONTRIBUTION.md and Data Contribution for further information.
Do not hesitate contacting us via databank@nmrlipids.fi if you have any questions or inquiries!
Metadata
Release files for fairmd-lipids 1.6.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| fairmd_lipids-1.6.0.tar.gz | 15.1 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| fairmd_lipids-1.6.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 30.2 MB
Release files / fairmd_lipids-1.6.0.tar.gz
| Download URL | fairmd_lipids-1.6.0.tar.gz |
|---|---|
| Size | 15.1 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / fairmd_lipids-1.6.0-py3-none-any.whl
| Download URL | fairmd_lipids-1.6.0-py3-none-any.whl |
|---|---|
| Size | 15.1 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
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