Evidence map›Paper›PMID 37874150›Full record

ArticleMicrobiology spectrum2023

AI-assisted structural consensus-proteome prediction of human monkeypox viruses isolated within a year after the 2022 multi-country outbreak.

Lena Parigger, Andreas Krassnigg, Stefan Grabuschnig, Karl Gruber, Georg Steinkellner, Christian C Gruber

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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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

6 authors at 2 institutions in 1 country.

Lena PariggerInnophore , Graz, Austria.ORCID 0000-0002-2151-0865
Andreas KrassniggInnophore , Graz, Austria.
Stefan GrabuschnigInnophore , Graz, Austria.ORCID 0000-0001-9303-2981
Karl GruberInnophore , Graz, Austria.ORCID 0000-0002-3485-9740
Georg SteinkellnerInstitute of Molecular Biosciences, University of Graz , Graz, Austria.ORCID 0000-0001-7565-8868
Christian C GruberInstitute of Molecular Biosciences, University of Graz , Graz, Austria.ORCID 0000-0003-0214-449X
University of Graz · ATBioTechMed-Graz · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

importanceThe 2022 outbreak of the monkeypox virus already involves, by April 2023, 110 countries with 86,956 confirmed cases and 119 deaths. Understanding an emerging disease on a molecular level is essential to study infection processes and eventually guide drug discovery at an early stage. To support this, we provide the so far most comprehensive structural proteome of the monkeypox virus, which includes 210 structural models, each computed with three state-of-the-art structure prediction methods. Instead of building on a single-genome sequence, we generated our models from a consensus of 3,713 high-quality genome sequences sampled from patients within 1 year of the outbreak. Therefore, we present an average structural proteome of the currently isolated viruses, including mutational analyses with a special focus on drug-binding sites. Continuing dynamic mutation monitoring within the structural proteome presented here is essential to timely predict possible physiological changes in the evolving virus.

Indexed as

Monkeypox virusProteomeArtificial IntelligenceConsensusDisease OutbreaksHumansMpox, MonkeypoxProteomeAlphaFold2BioNeMobrincidofovirconsensus genomeepidemicESMFoldhomology modelingmonkeypoxMPXstructural genomicsstructure predictiontecovirimatviral genomeviral proteome

Identifiers

PMID37874150
PMCPMC10714838
OpenAlexW4387893534

What Socratic 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 Socratic graph.