Evidence map›Paper›PMID 28947758›Full record

ArticleScientific reports2017

Kinetic constraints on self-assembly into closed supramolecular structures.

Thomas C T Michaels, Mathias M J Bellaiche, Michael F Hagan, Tuomas P J Knowles

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. The Dynamics of Viruslike Capsid Assembly and Disassembly.Journal of the American Chemical Society · 2022
    Article
  5. Review
  6. Review
  7. Article
  8. Physics of viral dynamics.Nature reviews. Physics · 2021
    Review
  9. Physical virology: From virus self-assembly to particle mechanics.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology · 2020
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. The different faces of mass action in virus assembly.Journal of biological physics · 2018
    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

4 authors.

Thomas C T MichaelsDepartment of Chemistry, University of Cambridge, Lensfield Road, Cambridge, CB2 1EW, UK.
Mathias M J BellaicheDepartment of Chemistry, University of Cambridge, Lensfield Road, Cambridge, CB2 1EW, UK.
Michael F HaganDepartment of Physics, Brandeis University, Waltham, MA, 02454, USA.
Tuomas P J KnowlesDepartment of Chemistry, University of Cambridge, Lensfield Road, Cambridge, CB2 1EW, UK. tpjk2@cam.ac.uk.

Funding

Computational modeling of viral capsid and bacterial microcompartment assemblyR01GM108021 · NIGMS · BRANDEIS UNIVERSITY · PI HAGAN, MICHAEL F · 2013 to 2021
$2.7M
NIGMS NIH HHS R01 GM108021
6 · The paper itself

Abstract

Many biological and synthetic systems exploit self-assembly to generate highly intricate closed supramolecular architectures, ranging from self-assembling cages to viral capsids. The fundamental design principles that control the structural determinants of the resulting assemblies are increasingly well-understood, but much less is known about the kinetics of such assembly phenomena and it remains a key challenge to elucidate how these systems can be engineered to assemble in an efficient manner and avoid kinetic trapping. We show here that simple scaling laws emerge from a set of kinetic equations describing the self-assembly of identical building blocks into closed supramolecular structures and that this scaling behavior provides general rules that determine efficient assembly in these systems. Using this framework, we uncover the existence of a narrow range of parameter space that supports efficient self-assembly and reveal that nature capitalizes on this behavior to direct the reliable assembly of viral capsids on biologically relevant timescales.

Indexed as

Models, ChemicalKineticsMolecular StructureNanostructures

Identifiers

PMID28947758
PMCPMC5613031

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.