Evidence map›Paper›PMID 39189419›Full record

ArticleJournal of chemical theory and computation2024

Martini 3 OliGo̅mers: A Scalable Approach for Multimers and Fibrils in GROMACS.

Ksenia Korshunova, Julius Kiuru, Juho Liekkinen, Giray Enkavi, Ilpo Vattulainen, Bart M H Bruininks

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Bridging Scales: Coarse-Grained Protein Models in Computational Biology.Advances in experimental medicine and biology · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. 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

6 authors.

Ksenia KorshunovaDepartment of Physics, University of Helsinki, FI-00014 Helsinki, Finland.ORCID 0000-0001-5428-7287
Julius KiuruDepartment of Physics, University of Helsinki, FI-00014 Helsinki, Finland.
Juho LiekkinenDepartment of Physics, University of Helsinki, FI-00014 Helsinki, Finland.ORCID 0000-0002-6612-1361
Giray EnkaviDepartment of Physics, University of Helsinki, FI-00014 Helsinki, Finland.ORCID 0000-0001-5033-8649
Ilpo VattulainenDepartment of Physics, University of Helsinki, FI-00014 Helsinki, Finland.ORCID 0000-0001-7408-3214
Bart M H BruininksDepartment of Physics, University of Helsinki, FI-00014 Helsinki, Finland.ORCID 0000-0001-5136-0864

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Martini 3 is a widely used coarse-grained simulation method for large-scale biomolecular simulations. It can be combined with a Go̅ model to realistically describe higher-order protein structures while allowing the folding and unfolding events. However, as of today, this method has largely been used only for individual monomers. In this article, we describe how the Go̅ model can be implemented within the framework of Martini 3 for a multimer system, taking into account both intramolecular and intermolecular interactions in an oligomeric protein system. We demonstrate the method by showing how it can be applied to both structural stability maintenance and assembly/disassembly of protein oligomers, using aquaporin tetramer, insulin dimer, and amyloid-β fibril as examples. We find that addition of intermolecular Go̅ potentials stabilizes the quaternary structure of proteins. The strength of the Go̅ potentials can be tuned so that the internal fluctuations of proteins match the behavior of atomistic simulation models, however, the results also show that the use of too strong intermolecular Go̅ potentials weakens the chemical specificity of oligomerization. The Martini-Go̅ model presented here enables the use of Go̅ potentials in oligomeric molecular systems in a computationally efficient and parallelizable manner, especially in the case of homopolymers, where the number of identical protein monomers is high. This paves the way for coarse-grained simulations of large protein complexes, such as viral protein capsids and prion fibrils, in complex biological environments.

Indexed as

Molecular Dynamics SimulationAmyloidAmyloid beta-PeptidesAquaporinsInsulinProtein MultimerizationAmyloidAmyloid beta-PeptidesAquaporinsInsulininsulin dimers

Identifiers

PMID39189419
PMCPMC11391574

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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.