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Record W2805347888 · doi:10.1080/02648725.2018.1471567

Viruses, IRESs, and a universal translation initiation mechanism

2018· review· en· W2805347888 on OpenAlexafffund
Luc Roberts, Hans‐Joachim Wieden

Bibliographic record

VenueBiotechnology and Genetic Engineering Reviews · 2018
Typereview
Languageen
FieldMedicine
TopicViral Infections and Immunology Research
Canadian institutionsUniversity of Lethbridge
FundersCanadian Institutes of Health ResearchAlberta InnovatesAlberta Innovates - Technology Futures
KeywordsInternal ribosome entry siteEukaryotic translationEukaryotic initiation factorTranslation (biology)BiologyInitiation factorEIF4EComputational biologyEukaryotic translation initiation factor 4 gammaRibosomeGeneticsRNACell biologyGeneMessenger RNA

Abstract

fetched live from OpenAlex

Internal ribosome entry sites (IRESs) are cis-acting RNA elements capable of recruiting ribosomes and initiating translation on an internal portion of an mRNA. This is divergent from canonical eukaryotic translation initiation, where the 5’ cap is recognized by initiation factors (IFs) that recruit the ribosome to initiate translation of the encoded peptide. All known IRESs are capable of initiating translation in a cap-independent manner, and are therefore not constrained by the absence or presence of a 5’ m7G cap. In addition to being cap-independent, IRES-mediated translation often uses only a subset of IFs allowing them to function independently of canonical initiation. The ability to function independently of the canonical translation initiation pathway allows IRESs to mediate gene expression when cap-dependent translation has been inhibited. Recent reports of viral IRESs capable of initiating translation across taxonomic domains (Eukarya and Bacteria) have sparked interest in designing gene expression systems compatible with multiple organisms. The ability to drive translation independent of cellular context using a common mechanism would have a wide range of applications ranging from agriculture biotechnology to the development of antiviral drugs. Here we discuss IRES-mediated translation and critically compare the available mechanistic and structural information. A particular focus will be on IRES-meditated translation across domains of life (viral and cellular IRESs) , IRES bioengineering and the possibility of an evolutionary conserved translation initiation mechanism.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.993
Threshold uncertainty score0.858

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.074
GPT teacher head0.339
Teacher spread0.264 · 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 teacher head, 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

Citations21
Published2018
Admission routes2
Has abstractyes

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