Evidence map›Paper›PMID 39231361›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

Broad Adaptability of Coronavirus Adhesion Revealed from the Complementary Surface Affinity of Membrane and Spikes.

Aritz B García-Arribas, Pablo Ibáñez-Freire, Diego Carlero, Pablo Palacios-Alonso, Miguel Cantero-Reviejo, Pablo Ares, Guillermo López-Polín, Han Yan, Yan Wang, Soumya Sarkar and 5 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Glycans Modulate the Adsorption of RBD Glycoproteins on Polarizable Surfaces.Journal of chemical information and modeling · 2026
    Article
  3. Review
  4. 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

15 authors.

Aritz B García-ArribasDepartamento de Física de la Materia Condensada, Universidad Autónoma de Madrid, Madrid, 28049, Spain.
Pablo Ibáñez-FreireDepartamento de Física Teórica de la Materia Condensada, Universidad Autónoma de Madrid, Madrid, 28049, Spain.
Diego CarleroDepartamento de Estructura de Macromoléculas, Centro Nacional de Biotecnología CSIC, Madrid, 28049, Spain.
Pablo Palacios-AlonsoDepartamento de Física Teórica de la Materia Condensada, Universidad Autónoma de Madrid, Madrid, 28049, Spain.
Miguel Cantero-ReviejoDepartamento de Física Teórica de la Materia Condensada, Universidad Autónoma de Madrid, Madrid, 28049, Spain.
Pablo AresDepartamento de Física Teórica de la Materia Condensada, Universidad Autónoma de Madrid, Madrid, 28049, Spain.
Guillermo López-PolínDepartamento de Física de la Materia Condensada, Universidad Autónoma de Madrid, Madrid, 28049, Spain.
Han YanDepartment of Materials Science and Metallurgy, University of Cambridge, Cambridge, CB3 0FS, UK.
Yan WangDepartment of Materials Science and Metallurgy, University of Cambridge, Cambridge, CB3 0FS, UK.
Soumya SarkarDepartment of Materials Science and Metallurgy, University of Cambridge, Cambridge, CB3 0FS, UK.
Manish ChhowallaDepartment of Materials Science and Metallurgy, University of Cambridge, Cambridge, CB3 0FS, UK.
Hanna M OksanenFaculty of Biological and Environmental Sciences, Vijkki Biocenter, University of Helsinki, Helsinki, 00014, Finland.
Jaime Martín-BenitoDepartamento de Física de la Materia Condensada, Universidad Autónoma de Madrid, Madrid, 28049, Spain.
Pedro J de PabloDepartamento de Física de la Materia Condensada, Universidad Autónoma de Madrid, Madrid, 28049, Spain.
Rafael Delgado-BuscalioniDepartamento de Física Teórica de la Materia Condensada, Universidad Autónoma de Madrid, Madrid, 28049, Spain.ORCID 0000-0001-6637-2091

Funding

Comunidad de Madrid REACT-EU-VIRMATFundación Banco Santander TEXGRAFFundación General CSIC PIE202020E079-6Human Frontier Science Program HFSPO RGP0012/2018Madrid Community GovernmentMinisterio de Ciencia e Innovación BFU2017-90018-RMinisterio de Ciencia e Innovación FIS2020- 117080RB-C51Ministerio de Ciencia e Innovación PDC2021-121441-C21Ministerio de Ciencia e Innovación PID2020- 117752RB-I00Ministry of Economy, Industry and Competitiveness FIS2017- 89549-RMinistry of Economy, Industry and Competitiveness FIS2017-90701- REDT
6 · The paper itself

Abstract

Coronavirus stands for a large family of viruses characterized by protruding spikes surrounding a lipidic membrane adorned with proteins. The present study explores the adhesion of transmissible gastroenteritis coronavirus (TGEV) particles on a variety of reference solid surfaces that emulate typical virus-surface interactions. Atomic force microscopy informs about trapping effectivity and the shape of the virus envelope on each surface, revealing that the deformation of TGEV particles spans from 20% to 50% in diameter. Given this large deformation range, experimental Langmuir isotherms convey an unexpectedly moderate variation in the adsorption-free energy, indicating a viral adhesion adaptability which goes beyond the membrane. The combination of an extended Helfrich theory and coarse-grained simulations reveals that, in fact, the envelope and the spikes present complementary adsorption affinities. While strong membrane-surface interaction lead to highly deformed TGEV particles, surfaces with strong spike attraction yield smaller deformations with similar or even larger adsorption-free energies.

Indexed as

Microscopy, Atomic ForceAdsorptionSurface PropertiesTransmissible gastroenteritis virusVirus Attachmentatomic‐force‐microscopycoarse‐graining modelscoronaviruselastic theorysurface‐affinity

Identifiers

PMID39231361
PMCPMC11538687

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.