Evidence map›Paper›PMID 32289059›Full record

ArticleMicrobial risk analysis2018

Using thermodynamic parameters to calibrate a mechanistic dose-response for infection of a host by a virus.

Paul Gale

Open access · greenAbstract read
In one paragraph

Article in Microbial risk analysis, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

17 citing papers in PubMed, 45 citations in OpenAlex.

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  16. Dose-response and transmission: the nexus between reservoir hosts, environment and recipient hosts.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Review
  17. 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

1 author at 1 institution in 1 country.

Paul Gale59 Fairway Avenue, Tilehurst, Reading, Berkshire, UK.
The Berkshire Independent Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assessing the risk of infection from emerging viruses or of existing viruses jumping the species barrier into novel hosts is limited by the lack of dose response data. The initial stages of the infection of a host by a virus involve a series of specific contact interactions between molecules in the host and on the virus surface. The strength of the interaction is quantified in the literature by the dissociation constant (K

Indexed as

Asp, aspartateCRD, carbohydrate-recognition domainCr, host cell receptorDose-responseEBOV, Zaire ebolavirusEnthalpyEntropyG, Gibbs free energyGI, gastrointestinalGP, glycoproteinHA, haemagglutininHBGA, histoblood group antigenH, enthalpyHeV, Hendra virusKa, Kmucin, association constantsKd, dissociation constant for two molecules bound to each otherk, on/off rate constantL, Avogadro numberMBP, mannose binding proteinMERS-CoV, MERS coronavirusM, molar (moles dm−3)MRA, microbiological risk assessmentMucinNiV, Nipah virusn, number of GP/Cr molecular contacts per virus/host cell bindingNoV, norovirusNPC1, Niemann-Pick C1 proteinpfu, plaque-forming unitPhe, phenylalaninePL, phospholipidPRR, pathogen recognition receptorR, ideal gas constantS, entropySPR, surface plasmon resonanceTIM-1, T-cell immunoglobulin and mucin domain protein 1T, temperatureVirusVSV, vesicular stomatitis virusΔGa, change in Gibbs free energy on association of virus and cellΔHa, change in enthalpy on association of virus and cellΔSa, change in entropy on association of virus and cellΔΔHa, change in ΔHa

Identifiers

PMID32289059
PMCPMC7103988
OpenAlexW2781609904

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.