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150 changes: 150 additions & 0 deletions CITATION.cff
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cff-version: 1.2.1
title: FAIRMD_lipids
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:

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Please sync with AUTHORS.md. Add an instruction that a contributor should add himselv to this file (modify CONTRIBUTION.md).

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updated.

- name: comcon1
family-names: Nesterenko
given-names: Alexey
- name: ohsOllila
family-names: Ollila
given-names: O. H. Samuli
- name: batukav
family-names: Kav
given-names: Batuhan
- name: MagnusSletten
- name: larabort
- name: PicoCentauri
family-names: Loche
given-names: Philip
- name: thraindk
given-names: Cedric
- name: markussmiettinen
family-names: Miettinen
given-names: Markus
- name: fsuarezleston
family-names: Suárez-Lestón
given-names: Fabián
- name: pbuslaev
- name: mdondrup
family-names: Dondrup
given-names: Michael
- name: korbinib
family-names: Bösl
given-names: Korbinian
orcid: https://orcid.org/0000-0003-0498-4273
- name: hsantila
- name: akiirik
- name: JHoeflich1
- name: jagdep-singh
- name: suviheinonen
- name: awurl
family-names: Wurl
given-names: Anika
- name: PEFrankel
- name: hseara
family-names: Martinez-Seara
given-names: Hector
- names: tfmFerreira
family-names: Ferreira
given-names: Tiago M.
- names: yesthisisarne
- names: MelbourneFL
identifiers:
- type: doi
value: 10.5281/zenodo.7875567
description: zenodo archive of version 1.4.0 of FAIRMD_lipids
repository-code: 'https://github.com/NMRLipids/FAIRMD_lipids'
url: 'https://databank2.nmrlipids.fi/'
repository-artifact: 'https://pypi.org/project/fairmd-lipids/'
abstract: >-
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.
keywords:
- Membrane
- Biophysics
- Molecular dynamics simulation
- intrinsic disorder
- Lipid
license: GPL-3.0
commit: 20461841753107a13497cfe2a2635c55a7f83c14
version: 1.4.0
date-released: '2026-02-16'
preferred-citation:
type: article
authors:
- family-names: Kiirikki
given-names: Anne M.
- family-names: Antila
given-names: Hanne S.
- family-names: Bort
given-names: Lara S.
- family-names: Buslaev
given-names: Pavel
- family-names: Favela-Rosales
given-names: Fernando
- family-names: Ferreira
given-names: Tiago Mendes
- family-names: Fuchs
given-names: Patrick F. J.
- family-names: Garcia-Fandino
given-names: Rebeca
- family-names: Gushchin
given-names: Ivan
- family-names: Kav
given-names: Batuhan
- family-names: Kučerka
given-names: Norbert
- family-names: Kula
given-names: Patrik
- family-names: Kurki
given-names: Milla
- family-names: Kuzmin
given-names: Alexander
- family-names: Lalitha
given-names: Anusha
- family-names: Lolicato
given-names: Fabio
- family-names: Madsen
given-names: Jesper J.
- family-names: Miettinen
given-names: Markus S.
- family-names: Mingham
given-names: Cedric
- family-names: Monticelli
given-names: Luca
- family-names: Nencini
given-names: Ricky
- family-names: Nesterenko
given-names: Alexey M.
- family-names: Piggot
given-names: Thomas J.
- family-names: Piñeiro
given-names: Ángel
- family-names: Reuter
given-names: Nathalie
- family-names: Samantray
given-names: Suman
- family-names: Suárez-Lestón
given-names: Fabián
- family-names: Talandashti
given-names: Reza
- family-names: Ollila
given-names: O. H. Samuli
title: Overlay Databank Unlocks Data-Driven Analyses of Biomolecules for All
journal: Nature Communications
volume: 15
issue: 1
pages: 1136
year: 2024
month: 2
issn: 2041-1723
doi: 10.1038/s41467-024-45189-z
abstract: >-
Tools based on artificial intelligence (AI) are currently revolutionising many fields, yet their applications are often limited by the lack of suitable training data in programmatically accessible format. Here we propose an effective solution to make data scattered in various locations and formats accessible for data-driven and machine learning applications using the overlay databank format. To demonstrate the practical relevance of such approach, we present the NMRlipids Databank—a community-driven, open-for-all database featuring programmatic access to quality-evaluated atom-resolution molecular dynamics simulations of cellular membranes. Cellular membrane lipid composition is implicated in diseases and controls major biological functions, but membranes are difficult to study experimentally due to their intrinsic disorder and complex phase behaviour. While MD simulations have been useful in understanding membrane systems, they require significant computational resources and often suffer from inaccuracies in model parameters. Here, we demonstrate how programmable interface for flexible implementation of data-driven and machine learning applications, and rapid access to simulation data through a graphical user interface, unlock possibilities beyond current MD simulation and experimental studies to understand cellular membranes. The proposed overlay databank concept can be further applied to other biomolecules, as well as in other fields where similar barriers hinder the AI revolution.

1 change: 1 addition & 0 deletions README.md
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[![documentation-stable](https://img.shields.io/badge/📚_documentation-stable-sucess)](https://nmrlipids.github.io/FAIRMD_lipids/)
[![documentation-latest](https://img.shields.io/badge/📒_documentation-latest-yellow)](https://nmrlipids.github.io/FAIRMD_lipids/latest/index.html)
[![coverage](https://codecov.io/gh/NMRLipids/FAIRMD_lipids/branch/main/graph/badge.svg)](https://codecov.io/gh/NMRLipids/FAIRMD_lipids)
[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.18679885.svg)](https://doi.org/10.5281/zenodo.18679885)

This is the FAIRMD Lipids — an API package for the community-driven catalogue
FAIRMD Lipid Databank (formerly NMRlipids Databank) containing atomistic MD
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