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Record W4402267408 · doi:10.1371/journal.ppat.1012473

Unveiling the viroporin arsenal in plant viruses: Implications for the future

2024· review· en· W4402267408 on OpenAlexaff
Guanwei Wu, Jianping Chen, Aiming Wang, Fei Yan

Bibliographic record

VenuePLoS Pathogens · 2024
Typereview
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Virus Research Studies
Canadian institutionsAgriculture and Agri-Food Canada
FundersK. C. Wong Magna Fund in Ningbo UniversityK. C. Wong Education FoundationNatural Science Foundation of Zhejiang ProvinceNingbo UniversityNational Natural Science Foundation of China
KeywordsBiologyRNAPlant virusSense (electronics)VirusComputational biologyCell biologyVirologyChemistryGeneticsGene

Abstract

fetched live from OpenAlex

Viroporins are small, hydrophobic viral proteins that modify cellular membranes to form tiny pores for influx of ions and small molecules. Previously, viroporins were identified exclusively in vertebrate viruses. Recent studies have shown that both plant-infecting positive-sense single-stranded (+ss) and negative-sense single-stranded (-ss) RNA viruses also encode functional viroporins. These seminal discoveries not only advance our understanding of the distribution and evolution of viroporins, but also open up a new field of plant virus research.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0000.001
Scholarly communication0.0010.004
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.183
GPT teacher head0.357
Teacher spread0.174 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2024
Admission routes1
Has abstractyes

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