Evidence map›Paper›PMID 36746311›Full record

ArticleBiochimica et biophysica acta. Biomembranes2023

Development of a charged model of the SARS-CoV-2 viral surface.

James E Parker, Roberto A Rodriguez

Open access · hybridAbstract read
In one paragraph

Article in Biochimica et biophysica acta. Biomembranes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 99% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. Review
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 at 1 institution in 1 country.

James E ParkerGeneral Dynamics Information Technology, 4141 Petroleum Road, JBSA Fort Sam Houston, TX, 78234-2644, United States. Electronic address: james.parker.28.ctr@us.af.mil.
Roberto A RodriguezGeneral Dynamics Information Technology, 4141 Petroleum Road, JBSA Fort Sam Houston, TX, 78234-2644, United States. Electronic address: roberto.rodriguez.36.ctr@us.af.mil.
General Dynamics (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A recent study provided experimental evidence of inactivation of viral activity after radio-frequency (RF) exposures in the 6-12 GHz band that was hypothesized to be caused by vibrations of an acoustic dipole mode in the virus that excited the viral membrane to failure. Here, we develop an atomic-scale molecular dynamics (MD) model of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral surface to estimate the electric fields necessary to rupture the viral membrane via dipole shaking of the virus. We computed the absorption spectrum of the system via unbiased MD simulations and found no particular strong absorption in the GHz band. We investigated the mechanical resiliency of the viral membrane by introducing uniaxial strains in the system and observed no pore formation in the membrane for strains up to 50%. Because the computed absorption spectrum was found to be essentially flat, and the strain required to break the viral membrane was >0.5, the field strength associated with rupture of the virus was greater than the dielectric breakdown value of air. Thus, RF disinfection of enveloped viruses would occur only once sufficient heat was transferred to the virus via a thermal mechanism and not by direct action (shaking) of the RF field oscillations on the viral membrane.

Indexed as

Molecular Dynamics SimulationRadio WavesSARS-CoV-2Viral EnvelopeAbsorption, RadiationDisinfectionSurface PropertiesCOVID-19Molecular dynamicsRadiofrequency exposureSARSViral inactivation

Identifiers

PMID36746311
PMCPMC9898061
OpenAlexW4319234506

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.