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Record W3101414512 · doi:10.1093/femsre/fuaa059

Zinc finger proteins in the host-virus interplay: multifaceted functions based on their nucleic acid-binding property

2020· review· en· W3101414512 on OpenAlexaff
Guanming Wang, Chunfu Zheng

Bibliographic record

VenueFEMS Microbiology Reviews · 2020
Typereview
Languageen
FieldImmunology and Microbiology
Topicinterferon and immune responses
Canadian institutionsUniversity of Calgary
FundersNatural Science Foundation of Fujian ProvinceNational Science and Technology Program during the Twelfth Five-year Plan PeriodNational Natural Science Foundation of China
KeywordsZinc fingerNucleic acidBiologyHost (biology)VirusComputational biologyVirologyBiochemistryGeneticsGeneTranscription factor

Abstract

fetched live from OpenAlex

Zinc finger proteins (ZFPs) are a huge family comprised of massive, structurally diverse proteins characterized by zinc ion coordinating. They engage in the host-virus interplay in-depth and occupy a significant portion of the host antiviral arsenal. Nucleic acid-binding is the basic property of certain ZFPs, which draws increasing attention due to their immense influence on viral infections. ZFPs exert multiple roles on the viral replications and host cell transcription profiles by recognizing viral genomes and host mRNAs. Their roles could be either antiviral or proviral and were separately discussed. Our review covers the recent research progress and provides a comprehensive understanding of ZFPs in antiviral immunity based on their DNA/RNA binding property.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.059
GPT teacher head0.305
Teacher spread0.247 · 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

Citations48
Published2020
Admission routes1
Has abstractyes

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