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CapsidMesh: Atomic‐detail structured mesh representation of icosahedral viral capsids and the study of their mechanical properties

Overview of attention for article published in International Journal for Numerical Methods in Biomedical Engineering, April 2018
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Title
CapsidMesh: Atomic‐detail structured mesh representation of icosahedral viral capsids and the study of their mechanical properties
Published in
International Journal for Numerical Methods in Biomedical Engineering, April 2018
DOI 10.1002/cnm.2991
Pubmed ID
Authors

José Luis Alonzo‐Velázquez, Salvador Botello‐Rionda, Rafael Herrera‐Guzmán, Mauricio Carrillo‐Tripp

Abstract

Viruses are the most abundant pathogens affecting all forms of life. A major component of a virus is a protein shell, known as the viral capsid, that encapsulates the genomic material. The fundamental functions of the capsid are to protect and transport the viral genome, and recognize the host cell. Descriptions of this macromolecular complex have been proposed at different scales of approximation. Here, we introduce a methodology to generate a structured volumetric mesh of icosahedral viral capsids (CapsidMesh) based on the atomic positions of their constituents. Material properties of the capsid proteins can be set on every mesh element individually. Hence, we have control over all levels of protein structure (atoms, amino acids, subunits, oligomers, capsid). The CapsidMesh models are suitable for numerical simulations and analysis of a physical process using a third-party package. In particular, we used our methodology to generate a CapsidMesh of several capsids previously characterized by Atomic Force Microscopy experiments, and then simulated the mechanical nanoindentation through the Finite Element Method. By fitting to the experimental linear elastic response, we estimated the elastic modulus and mechanical stresses produced on the capsids. Our results show that the atomic detail of the CapsidMesh is sufficient to reproduce anisotropic properties of the particle. This article is protected by copyright. All rights reserved.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 29%
Professor 1 14%
Student > Doctoral Student 1 14%
Professor > Associate Professor 1 14%
Unknown 2 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 29%
Engineering 2 29%
Chemistry 1 14%
Unknown 2 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 June 2020.
All research outputs
#20,646,604
of 25,380,089 outputs
Outputs from International Journal for Numerical Methods in Biomedical Engineering
#268
of 438 outputs
Outputs of similar age
#247,288
of 324,699 outputs
Outputs of similar age from International Journal for Numerical Methods in Biomedical Engineering
#8
of 11 outputs
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So far Altmetric has tracked 438 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
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