Evidence map›Paper›PMID 29460850›Full record

ArticleJournal of physics. Condensed matter : an Institute of Physics journal2018

Self consistent field theory of virus assembly.

Siyu Li, Henri Orland, Roya Zandi

Open access · greenAbstract read
In one paragraph

Article in Journal of physics. Condensed matter : an Institute of Physics journal, 2018. 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
1.6field-weighted citation impact, top 18% of its field
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, 11 citations in OpenAlex.

  1. Review
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  7. 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

3 authors at 2 institutions in 3 countries.

Siyu LiDepartment of Physics and Astronomy, University of California, Riverside, CA 92521, United States of America.ORCID 0000-0002-4326-7560
Henri OrlandInstitut de Physique Théorique, CEA-Saclay, CEA, F-91191 Gif-sur-Yvette, France.
Roya ZandiDepartment of Physics and Astronomy, University of California, Riverside, CA 92521, United States of America.
University of California, Riverside · USCommissariat à l'Énergie Atomique et aux Énergies Alternatives · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ground state dominance approximation (GSDA) has been extensively used to study the assembly of viral shells. In this work we employ the self-consistent field theory (SCFT) to investigate the adsorption of RNA onto positively charged spherical viral shells and examine the conditions when GSDA does not apply and SCFT has to be used to obtain a reliable solution. We find that there are two regimes in which GSDA does work. First, when the genomic RNA length is long enough compared to the capsid radius, and second, when the interaction between the genome and capsid is so strong that the genome is basically localized next to the wall. We find that for the case in which RNA is more or less distributed uniformly in the shell, regardless of the length of RNA, GSDA is not a good approximation. We observe that as the polymer-shell interaction becomes stronger, the energy gap between the ground state and first excited state increases and thus GSDA becomes a better approximation. We also present our results corresponding to the genome persistence length obtained through the tangent-tangent correlation length and show that it is zero in case of GSDA but is equal to the inverse of the energy gap when using SCFT.

Indexed as

Models, MolecularVirus AssemblyCapsid

Identifiers

PMID29460850
PMCPMC7104907
OpenAlexW2781202793

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.