Evidence map›Paper›PMID 40307210›Full record

ArticleNature communications2025

GōMartini 3: From large conformational changes in proteins to environmental bias corrections.

Paulo C T Souza, Luís Borges-Araújo, Christopher Brasnett, Rodrigo A Moreira, Fabian Grünewald, Peter Park, Liguo Wang, Hafez Razmazma, Ana C Borges-Araújo, Luis Fernando Cofas-Vargas and 7 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing 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

45 citing papers in PubMed.

  1. Article
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  15. Article
  16. Coarse-Grained Martini 3 Model of Chondroitin Sulfate A.Journal of chemical theory and computation · 2026
    Article
  17. Improving Conformational Ensembles of Folded Proteins in Go̅Martini.Journal of chemical theory and computation · 2026
    Article
  18. Article
  19. Article
  20. Review
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

17 authors.

Paulo C T SouzaLaboratoire de Biologie et Modélisation de la Cellule, CNRS, UMR 5239, Inserm, U1293, Université Claude Bernard Lyon 1, Ecole Normale Supérieure de Lyon, 46 Allée d'Italie, Lyon, France. paulo.telles_de_souza@ens-lyon.fr.ORCID http://orcid.org/0000-0003-0660-1301
Luís Borges-AraújoLaboratoire de Biologie et Modélisation de la Cellule, CNRS, UMR 5239, Inserm, U1293, Université Claude Bernard Lyon 1, Ecole Normale Supérieure de Lyon, 46 Allée d'Italie, Lyon, France.
Christopher BrasnettGroningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Nijenborgh 7, Groningen, The Netherlands.ORCID http://orcid.org/0000-0001-9235-1673
Rodrigo A MoreiraNEIKER, Basque Research and Technology Alliance (BRTA), Parque Científico y Tecnológico de Bizkaia, P812, Derio, Spain.
Fabian GrünewaldHeidelberg Institute for Theoretical Studies (HITS), Schloss-Wolfsbrunnenweg 35, Heidelberg, Germany.ORCID http://orcid.org/0000-0001-6979-1363
Peter ParkGroningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Nijenborgh 7, Groningen, The Netherlands.ORCID http://orcid.org/0000-0001-5671-9354
Liguo WangGroningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Nijenborgh 7, Groningen, The Netherlands.ORCID http://orcid.org/0009-0001-2953-3973
Hafez RazmazmaMolecular Microbiology and Structural Biochemistry, CNRS UMR 5086 and Université Claude Bernard Lyon 1, 7 Passage du Vercors, Lyon, France.
Ana C Borges-AraújoInstituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa, Av. da República, Oeiras, Portugal.ORCID http://orcid.org/0000-0002-9949-9125
Luis Fernando Cofas-VargasBiosystems and Soft Matter Division, Institute of Fundamental Technological Research, Polish Academy of Sciences, ul. Pawińskiego 5B, 02-106, Warsaw, Poland.ORCID http://orcid.org/0000-0001-5603-1437
Luca MonticelliMolecular Microbiology and Structural Biochemistry, CNRS UMR 5086 and Université Claude Bernard Lyon 1, 7 Passage du Vercors, Lyon, France.ORCID http://orcid.org/0000-0002-6352-4595
Raúl Mera-AdasmeDepartamento de Química, Facultad de Ciencias, Universidad de Tarapacá, Arica, Chile.
Manuel N MeloInstituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa, Av. da República, Oeiras, Portugal.ORCID http://orcid.org/0000-0001-6567-0513
Sangwook WuPharmCADD, Busan, Republic of Korea.
Siewert J MarrinkGroningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Nijenborgh 7, Groningen, The Netherlands. s.j.marrink@rug.nl.ORCID http://orcid.org/0000-0001-8423-5277
Adolfo B PomaBiosystems and Soft Matter Division, Institute of Fundamental Technological Research, Polish Academy of Sciences, ul. Pawińskiego 5B, 02-106, Warsaw, Poland. apoma@ippt.pan.pl.ORCID http://orcid.org/0000-0002-8875-3220
Sebastian ThallmairFrankfurt Institute for Advanced Studies, Ruth-Moufang-Straße 1, Frankfurt am Main, Germany. thallmair@fias.uni-frankfurt.de.ORCID http://orcid.org/0000-0002-3396-5840

Funding

EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 Marie Skłodowska-Curie Actions (H2020 Excellent Science - Marie Skłodowska-Curie Actions) 748895Hessisches Ministerium für Wissenschaft und Kunst (Hessen State Ministry of Higher Education, Research and the Arts) CMMSMinistry of Education and Science | Fundação para a Ciência e a Tecnologia (Portuguese Science and Technology Foundation) CEECIND/04124/2017/CP1428/CT0008
6 · The paper itself

Abstract

Coarse-grained modeling has become an important tool to supplement experimental measurements, allowing access to spatio-temporal scales beyond all-atom based approaches. The GōMartini model combines structure- and physics-based coarse-grained approaches, balancing computational efficiency and accurate representation of protein dynamics with the capabilities of studying proteins in different biological environments. This paper introduces an enhanced GōMartini model, which combines a virtual-site implementation of Gō models with Martini 3. The implementation has been extensively tested by the community since the release of the reparametrized version of Martini. This work demonstrates the capabilities of the model in diverse case studies, ranging from protein-membrane binding to protein-ligand interactions and AFM force profile calculations. The model is also versatile, as it can address recent inaccuracies reported in the Martini protein model. Lastly, the paper discusses the advantages, limitations, and future perspectives of the Martini 3 protein model and its combination with Gō models.

Indexed as

Molecular Dynamics SimulationProteinsLigandsMicroscopy, Atomic ForceProtein BindingProtein ConformationSoftwareLigandsProteins

Identifiers

PMID40307210
PMCPMC12043922

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.