Evidence mapPaperPMID 39947281Full record

ArticleJournal of molecular biology2025

ModelArchive: A Deposition Database for Computational Macromolecular Structural Models.

Gerardo Tauriello, Andrew M Waterhouse, Juergen Haas, Dario Behringer, Stefan Bienert, Thomas Garello, Torsten Schwede

Abstract read
In one paragraph

Article in Journal of molecular biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
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

32 citing papers in PubMed.

  1. Article
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  5. HThe FEBS journal · 2026
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  9. Evaluating generalization in protein-ligand cofolding methods.Nature structural & molecular biology · 2026
    Article
  10. Kidney international reports · 2026
    Article
  11. Article
  12. MolViewStories: Interactive molecular storytelling.Protein science : a publication of the Protein Society · 2026
    Article
  13. Article
  14. Article
  15. Article
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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

7 authors.

Gerardo TaurielloBiozentrum, University of Basel, Basel, Switzerland; Computational Structural Biology, SIB Swiss Institute of Bioinformatics, Basel, Switzerland.
Andrew M WaterhouseBiozentrum, University of Basel, Basel, Switzerland; Computational Structural Biology, SIB Swiss Institute of Bioinformatics, Basel, Switzerland.
Juergen HaasBiozentrum, University of Basel, Basel, Switzerland; Computational Structural Biology, SIB Swiss Institute of Bioinformatics, Basel, Switzerland.
Dario BehringerBiozentrum, University of Basel, Basel, Switzerland; Computational Structural Biology, SIB Swiss Institute of Bioinformatics, Basel, Switzerland.
Stefan BienertBiozentrum, University of Basel, Basel, Switzerland; Computational Structural Biology, SIB Swiss Institute of Bioinformatics, Basel, Switzerland.
Thomas GarelloBiozentrum, University of Basel, Basel, Switzerland; Computational Structural Biology, SIB Swiss Institute of Bioinformatics, Basel, Switzerland.
Torsten SchwedeBiozentrum, University of Basel, Basel, Switzerland; Computational Structural Biology, SIB Swiss Institute of Bioinformatics, Basel, Switzerland. Electronic address: torsten.schwede@unibas.ch.

Funding

NIGMS NIH HHS U01 GM093324
6 · The paper itself

Abstract

A wide range of applications in life science research benefit from the availability of three-dimensional structures of biological macromolecules as they provide valuable insights into their molecular function. Recent advances in structure prediction techniques have made it possible to generate high quality computational macromolecular structural models for almost all known proteins. In this context, ModelArchive (https://modelarchive.org/) serves as a deposition database for computational models, complementing the Protein Data Bank (PDB) and PDB-IHM, which require experimental data, and specialised databases such as the AlphaFold DB. ModelArchive contains over 600,000 models contributed by researchers using a variety of modelling techniques. It supports single biological macromolecules and complexes, including any combination of polymers and small molecules. Each deposited model can be referenced in manuscripts using an immutable accession code provided by ModelArchive. Depositors are required to provide a minimal set of information about the modelling process and the expected accuracy of the resulting model, enabling scientific reproducibility and maximising the potential reuse of the models. The vast majority of models in ModelArchive use the ModelCIF format which includes coordinates and metadata, allows for programmatic validation of the models, and makes the models interoperable with structures obtained from other sources such as the PDB. The ModelArchive web service provides access to the models and search queries. Model findability is also provided in external services either through APIs or by importing data from ModelArchive.

Indexed as

Computational BiologyDatabases, ProteinMacromolecular SubstancesModels, MolecularProteinsProtein ConformationSoftwareMacromolecular SubstancesProteinsFAIR databasesmacromolecular structure predictionModelArchiveModelCIFstructural biology

Identifiers

PMID39947281
PMCPMC13370677

What Socratic 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 Socratic graph.