Evidence map›Paper›PMID 40276967›Full record

ArticleNucleic acids research2025

FoldScript: a web server for the efficient analysis of AI-generated 3D protein models.

Xavier Robert, Christophe Guillon, Patrice Gouet

Abstract read
In one paragraph

Article in Nucleic acids research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

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  5. Endo-β-1,4-Xylanase GH10 fromInternational journal of molecular sciences · 2026
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  6. Microtubule Engagement by the WD40-Containing Tail of Kinesin-4 KIF21B.bioRxiv : the preprint server for biology · 2026
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  15. Structural analysis of the flexibility of the Ubl2 domain within the papain-like protease of SARS-CoV-2.Acta crystallographica. Section F, Structural biology communications · 2026
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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

3 authors.

Xavier RobertRetroviruses and Structural Biochemistry Team, Molecular Microbiology and Structural Biochemistry, MMSB, CNRS UMR 5086, Université de Lyon, 69007 Lyon, France.ORCID 0000-0002-6174-8595
Christophe GuillonRetroviruses and Structural Biochemistry Team, Molecular Microbiology and Structural Biochemistry, MMSB, CNRS UMR 5086, Université de Lyon, 69007 Lyon, France.ORCID 0000-0001-6378-3303
Patrice GouetRetroviruses and Structural Biochemistry Team, Molecular Microbiology and Structural Biochemistry, MMSB, CNRS UMR 5086, Université de Lyon, 69007 Lyon, France.ORCID 0000-0001-9485-6157

Funding

'Auvergne-Rhône-Alpes'CNRS'Isère' regional committeesLigue Contre le Cancer AO 2023Ligue Contre le Cancer CCAURA
6 · The paper itself

Abstract

Artificial intelligence (AI)-based 3D protein modelling software have revolutionized structural biology, often predicting protein structures with unprecedented confidence. However, to get the most out of AI, it is advisable to consider the information provided by a set of 'best' models with similar reliability scores, rather than just the top-ranked model, and to compare the results of different AI predictors. Furthermore, the 'highest scoring' solution is not always the 'best' one, especially in the case of oligomeric models where it may be crucial to introduce experimental knowledge into their selection. Here, we present the FoldScript web server, which has been developed to address these issues. It can be used to gather and synthesize primary to quaternary structure information from a set of up to 25 AI-generated models. The analysis is presented in the form of a comprehensible flat figure and mosaics of 3D structures, allowing efficient visual inspection of structural differences. Another module identifies models with known intermolecular contacts. FoldScript is therefore a decision support tool designed to help a large community, whether or not they are structural biologists, to rationally select the most accurate model in an AI-driven modelling process. It is freely available without login requirement at https://foldscript.ibcp.fr.

Indexed as

Artificial IntelligenceModels, MolecularProteinsSoftwareInternetProtein ConformationProteins

Identifiers

PMID40276967
PMCPMC12230654

What OpenQuestion holds

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LicenceCC BY-NC
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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.