Evidence map›Paper›PMID 38326316›Full record

ArticleNature communications2024

Overlay databank unlocks data-driven analyses of biomolecules for all.

Anne M Kiirikki, Hanne S Antila, Lara S Bort, Pavel Buslaev, Fernando Favela-Rosales, Tiago Mendes Ferreira, Patrick F J Fuchs, Rebeca Garcia-Fandino, Ivan Gushchin, Batuhan Kav and 19 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. SuAVE-Scatter: A Module for Integrating Simulations and SAXS/SANS Analyses.Journal of chemical information and modeling · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Evaluating Polarizable Biomembrane Simulations against Experiments.Journal of chemical theory and computation · 2024
    Article
  16. Article
  17. Article
  18. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

29 authors.

Anne M KiirikkiUniversity of Helsinki, Institute of Biotechnology, Helsinki, Finland.
Hanne S AntilaDepartment of Theory and Bio-Systems, Max Planck Institute of Colloids and Interfaces, 14424, Potsdam, Germany.
Lara S BortDepartment of Theory and Bio-Systems, Max Planck Institute of Colloids and Interfaces, 14424, Potsdam, Germany.
Pavel BuslaevNanoscience Center and Department of Chemistry, University of Jyväskylä, 40014, Jyväskylä, Finland.
Fernando Favela-RosalesDepartamento de Ciencias Básicas, Tecnológico Nacional de México - ITS Zacatecas Occidente, Sombrerete, 99102, Zacatecas, Mexico.ORCID 0000-0002-0687-6594
Tiago Mendes FerreiraNMR group - Institute for Physics, Martin Luther University Halle-Wittenberg, 06120, Halle (Saale), Germany.
Patrick F J FuchsSorbonne Université, Ecole Normale Supérieure, PSL University, CNRS, Laboratoire des Biomolécules (LBM), F-75005, Paris, France.ORCID 0000-0001-7117-994X
Rebeca Garcia-FandinoCenter for Research in Biological Chemistry and Molecular Materials (CiQUS), Universidade de Santiago de Compostela, E-15782, Santiago de Compostela, Spain.
Ivan Gushchin
Batuhan KavInstitute of Biological Information Processing: Structural Biochemistry (IBI-7), Forschungszentrum Jülich, 52428, Jülich, Germany.ORCID 0000-0003-4990-373X
Norbert KučerkaDepartment of Physical Chemistry of Drugs, Faculty of Pharmacy, Comenius University Bratislava, 832 32, Bratislava, Slovakia.
Patrik KulaInstitute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences, Flemingovo nám. 542/2, CZ-16610, Prague, Czech Republic.
Milla KurkiSchool of Pharmacy, University of Eastern Finland, 70211, Kuopio, Finland.ORCID 0000-0001-8311-6057
Anusha LalithaInstitut Charles Gerhardt Montpellier (UMR CNRS 5253), Université Montpellier, Place Eugène Bataillon, 34095, Montpellier, Cedex 05, France.ORCID 0000-0002-2817-661X
Fabio LolicatoHeidelberg University Biochemistry Center, 69120, Heidelberg, Germany.ORCID 0000-0001-7537-0549
Jesper J MadsenDepartment of Molecular Medicine, Morsani College of Medicine, University of South Florida, 33612, Tampa, FL, USA.ORCID 0000-0003-1411-9080
Markus S MiettinenDepartment of Theory and Bio-Systems, Max Planck Institute of Colloids and Interfaces, 14424, Potsdam, Germany.ORCID 0000-0002-3999-4722
Cedric MinghamHochschule Mannheim, University of Applied Sciences, 68163, Mannheim, Germany.
Luca MonticelliUniversity of Lyon, CNRS, Molecular Microbiology and Structural Biochemistry (MMSB, UMR 5086), F-69007, Lyon, France.ORCID 0000-0002-6352-4595
Ricky NenciniUniversity of Helsinki, Institute of Biotechnology, Helsinki, Finland.
Alexey M NesterenkoDepartment of Chemistry, University of Bergen, 5007, Bergen, Norway.
Thomas J PiggotChemistry, University of Southampton, Highfield, SO17 1BJ, Southampton, UK.
Ángel PiñeiroDepartment of Applied Physics, Faculty of Physics, University of Santiago de Compostela, E-15782, Santiago de Compostela, Spain.
Nathalie ReuterDepartment of Chemistry, University of Bergen, 5007, Bergen, Norway.
Suman SamantrayInstitute of Biological Information Processing: Structural Biochemistry (IBI-7), Forschungszentrum Jülich, 52428, Jülich, Germany.ORCID 0000-0003-3361-9582
Fabián Suárez-LestónCenter for Research in Biological Chemistry and Molecular Materials (CiQUS), Universidade de Santiago de Compostela, E-15782, Santiago de Compostela, Spain.ORCID 0000-0003-0843-667X
Reza TalandashtiDepartment of Chemistry, University of Bergen, 5007, Bergen, Norway.
O H Samuli OllilaUniversity of Helsinki, Institute of Biotechnology, Helsinki, Finland. samuli.ollila@helsinki.fi.ORCID 0000-0002-8728-1006

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Artificial IntelligenceMembrane LipidsCell MembraneMachine LearningMolecular Dynamics SimulationMembrane Lipids

Identifiers

PMID38326316
PMCPMC10850068

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.