Evidence map›Paper›PMID 24907984›Full record

ArticleThe Journal of chemical physics2014

Using Markov state models to study self-assembly.

Matthew R Perkett, Michael F Hagan

Abstract read
In one paragraph

Article in The Journal of chemical physics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Coarse-Graining Self-Assembly by the Stochastic Landscape Method.Journal of chemical theory and computation · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Physics of viral dynamics.Nature reviews. Physics · 2021
    Review
  7. Article
  8. Article
  9. Universal folding pathways of polyhedron nets.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  10. Article
  11. Article
  12. Reaction-diffusion basis of retroviral infectivity.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2016
    Article
  13. Allosteric Control of Icosahedral Capsid Assembly.The journal of physical chemistry. B · 2016
    Article
  14. Article
  15. Review
  16. Article
  17. Mechanisms of virus assembly.Annual review of physical chemistry · 2015
    Review
  18. Pathways for virus assembly around nucleic acids.Journal of molecular biology · 2014
    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

2 authors.

Matthew R PerkettMartin Fisher School of Physics, Brandeis University, Waltham, Massachusetts 02474, USA.
Michael F HaganMartin Fisher School of Physics, Brandeis University, Waltham, Massachusetts 02474, USA.

Funding

Quantitative Biology: a Graduate Curriculum Linking the Physical and Biomedical ST32EB009419 · NIBIB · BRANDEIS UNIVERSITY · PI GELLES, JEFF, KONDEV, JANE · 2009 to 2018
$2.8M
Computational modeling of viral capsid and bacterial microcompartment assemblyR01GM108021 · NIGMS · BRANDEIS UNIVERSITY · PI HAGAN, MICHAEL F · 2013 to 2021
$2.7M
NIBIB NIH HHS T32 EB009419NIGMS NIH HHS R01 GM108021NIGMS NIH HHS R01GM108021
6 · The paper itself

Abstract

Markov state models (MSMs) have been demonstrated to be a powerful method for computationally studying intramolecular processes such as protein folding and macromolecular conformational changes. In this article, we present a new approach to construct MSMs that is applicable to modeling a broad class of multi-molecular assembly reactions. Distinct structures formed during assembly are distinguished by their undirected graphs, which are defined by strong subunit interactions. Spatial inhomogeneities of free subunits are accounted for using a recently developed Gaussian-based signature. Simplifications to this state identification are also investigated. The feasibility of this approach is demonstrated on two different coarse-grained models for virus self-assembly. We find good agreement between the dynamics predicted by the MSMs and long, unbiased simulations, and that the MSMs can reduce overall simulation time by orders of magnitude.

Indexed as

Markov ChainsMolecular Dynamics SimulationNanoparticlesPolymersProtein FoldingProteinsProtein Structure, TertiaryPolymersProteins

Identifiers

PMID24907984
PMCPMC4048447

What OpenQuestion holds

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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.