Evidence map›Paper›PMID 39543373›Full record

ArticleCommunications biology2024

Explicit description of viral capsid subunit shapes by unfolding dihedrons.

Ryuya Toyooka, Seri Nishimoto, Tomoya Tendo, Takashi Horiyama, Tomohiro Tachi, Yasuhiro Matsunaga

Abstract read
In one paragraph

Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Ryuya ToyookaDepartment of General Systems Studies, The University of Tokyo, Tokyo, Japan.
Seri NishimotoDepartment of General Systems Studies, The University of Tokyo, Tokyo, Japan.ORCID 0000-0002-0648-1197
Tomoya TendoDepartment of General Systems Studies, The University of Tokyo, Tokyo, Japan.
Takashi HoriyamaFaculty of Information Science and Technology, Hokkaido University, Sapporo, Japan. horiyama@ist.hokudai.ac.jp.
Tomohiro TachiDepartment of General Systems Studies, The University of Tokyo, Tokyo, Japan. tachi@idea.c.u-tokyo.ac.jp.ORCID 0000-0002-1404-4392
Yasuhiro MatsunagaGraduate School of Science and Engineering, Saitama University, Saitama, Japan. ymatsunaga@mail.saitama-u.ac.jp.ORCID 0000-0003-2872-3908

Funding

MEXT | Japan Society for the Promotion of Science (JSPS) 20K21380MEXT | Japan Society for the Promotion of Science (JSPS) 22H04954MEXT | Japan Society for the Promotion of Science (JSPS) 23K18105
6 · The paper itself

Abstract

Viral capsid assembly and the design of capsid-based nanocontainers critically depend on understanding the shapes and interfaces of constituent protein subunits. However, a comprehensive framework for characterizing these features is still lacking. Here, we introduce a novel approach based on spherical tiling theory that explicitly describes the 2D shapes and interfaces of subunits in icosahedral capsids. Our method unfolds spherical dihedrons defined by icosahedral symmetry axes, enabling systematic characterization of all possible subunit geometries. Applying this framework to real T = 1 capsid structures reveals distinct interface groups within this single classification, with variations in interaction patterns around 3-fold and 5-fold symmetry axes. We validate our classification through molecular docking simulations, demonstrating its consistency with physical subunit interactions. This analysis suggests different assembly pathways for capsid nucleation. Our general framework is applicable to other triangular numbers, paving the way for broader studies in structural virology and nanomaterial design.

Indexed as

CapsidCapsid ProteinsVirus AssemblyModels, MolecularMolecular Docking SimulationProtein ConformationCapsid Proteins

Identifiers

PMID39543373
PMCPMC11564659

What OpenQuestion holds

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Registered trials

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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.