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Record W2368888991

Viral Suppressor of RNA Silencing

2005· article· en· W2368888991 on OpenAlexaff
Xiao Cui

Bibliographic record

VenuePROGRESS IN BIOCHEMISTRY AND BIOPHYSICS · 2005
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Virus Research Studies
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsRNA silencingRNA-induced silencing complexGene silencingTrans-acting siRNARNA-induced transcriptional silencingBiologyRNASuppressorRNA interferenceSmall interfering RNAArgonauteGeneticsVirologyCell biologyGene
DOInot available

Abstract

fetched live from OpenAlex

Conserved in many eukaryotic cells, RNA silencing is a mechanism that suppresses gene expression through RNA-mediated sequence-specific interactions. In plants, RNA silencing plays an important role against virus infection. A counter-defensive strategy in plant viruses has evolved by encoding suppressor proteins to overcome RNA silencing. Up to date, over twenty suppressors encoded by plant, animal and human viruses had been identified. A hot topic in virology has been focused on the identification of suppressors of RNA silencing and the mechanism for inducing silencing. The discovery and identification of viral suppressors of RNA silencing, possible mechanisms involved in RNA silencing suppression and its relationship with symptom formation of viral diseases, and suppressors of animal viruses were reviewed. The applications of these suppressors in plant biological and biotechnological research were also discussed.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.003

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 head0.018
GPT teacher head0.259
Teacher spread0.241 · 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 designBench or experimental
Domainnot available
GenreEmpirical

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

Citations0
Published2005
Admission routes1
Has abstractyes

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