Evidence map›Paper›PMID 15592899›Full record

ArticleJournal of molecular modeling2005

Reasoning of spike glycoproteins being more vulnerable to mutations among 158 coronavirus proteins from different species.

Guang Wu, Shaomin Yan

Open access · bronzeAbstract read
In one paragraph

Article in Journal of molecular modeling, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

8 citing papers in PubMed, 24 citations in OpenAlex.

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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.

Guang WuComputational Mutation Project, DreamSciTech Consulting Co. Ltd., 301, Building 12, Nanyou A-zone, Jiannan Road, Shenzhen, Guangdong Province, 518054, China. hongguanglishibahao@yahoo.com
Shaomin Yan
BH Consulting (Ireland) · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we used the probabilistic models developed by us over the last several years to analyze 158 proteins from coronaviruses in order to determine which protein is more vulnerable to mutations. The results provide three lines of evidence suggesting that the spike glycoprotein is different from the other coronavirus proteins: (1) the spike glycoprotein is more sensitive to mutations, this is the current state of the spike glycoprotein, (2) the spike glycoprotein has undergone more mutations in the past, this is the history of spike glycoprotein, and (3) the spike glycoprotein has a bigger potential towards future mutations, this is the future of spike glycoprotein. Furthermore, this study gives a clue on the species susceptibility regarding different proteins.

Indexed as

MutationAnalysis of VarianceAnimalsCatsCoronavirusDogsHorsesHumansMembrane GlycoproteinsModels, MolecularSequence Analysis, ProteinSpike Glycoprotein, CoronavirusTurkeysViral Envelope ProteinsViral ProteinsMembrane GlycoproteinsSpike Glycoprotein, CoronavirusViral Envelope ProteinsViral Proteins

Identifiers

PMID15592899
PMCPMC7088192
OpenAlexW1985045828

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.