Evidence map›Paper›PMID 39329375›Full record

ArticleACS nano2024

Structural Basis for Alternative Self-Assembly Pathways Leading to Different Human Immunodeficiency Virus Capsid-Like Nanoparticles.

Judith Escrig, Íñigo Marcos-Alcalde, Santos Domínguez-Zotes, David Abia, Paulino Gómez-Puertas, Alejandro Valbuena, Mauricio G Mateu

Abstract read
In one paragraph

Article in ACS nano, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Judith EscrigVirus Engineering Group, Centro de Biología Molecular Severo Ochoa (CSIC-UAM), Campus of the Universidad Autónoma de Madrid, Madrid 28049, Spain.
Íñigo Marcos-AlcaldeMolecular Modeling Group, Centro de Biología Molecular Severo Ochoa (CSIC-UAM), Campus of the Universidad Autónoma de Madrid, Madrid 28049, Spain.ORCID 0000-0002-0674-6423
Santos Domínguez-ZotesVirus Engineering Group, Centro de Biología Molecular Severo Ochoa (CSIC-UAM), Campus of the Universidad Autónoma de Madrid, Madrid 28049, Spain.
David AbiaBioinformatics Unit, Centro de Biología Molecular Severo Ochoa (CSIC-UAM), Campus of the Universidad Autónoma de Madrid, Madrid 28049, Spain.
Paulino Gómez-PuertasMolecular Modeling Group, Centro de Biología Molecular Severo Ochoa (CSIC-UAM), Campus of the Universidad Autónoma de Madrid, Madrid 28049, Spain.ORCID 0000-0003-3131-729X
Alejandro ValbuenaVirus Engineering Group, Centro de Biología Molecular Severo Ochoa (CSIC-UAM), Campus of the Universidad Autónoma de Madrid, Madrid 28049, Spain.
Mauricio G MateuVirus Engineering Group, Centro de Biología Molecular Severo Ochoa (CSIC-UAM), Campus of the Universidad Autónoma de Madrid, Madrid 28049, Spain.ORCID 0000-0002-2915-1529

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mechanisms that underlie the spontaneous and faithful assembly of virus particles are guiding the design of self-assembling protein-based nanostructures for biomedical or nanotechnological uses. In this study, the human immunodeficiency virus (HIV-1) capsid was used as a model to investigate what molecular feature(s) may determine whether a protein nanoparticle with the intended architecture, instead of an aberrant particle, will be self-assembled

Indexed as

CapsidCapsid ProteinsHIV-1NanoparticlesHumansModels, MolecularMolecular Dynamics SimulationCapsid Proteinsarchitectureassembly pathwaysmolecular dynamicsmutational analysisnanoparticleself-assemblyvirus capsid

Identifiers

PMID39329375
PMCPMC11587947

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.