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Record W2125658800 · doi:10.2174/1381612811319180004

Targeting the Ubiquitin E1 as a Novel Anti-Cancer Strategy

2013· review· en· W2125658800 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCurrent Pharmaceutical Design · 2013
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicUbiquitin and proteasome pathways
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsProteasomeUbiquitinProtein degradationBortezomibCancer researchBiologyProteasome inhibitorCell biologyChemistryMultiple myelomaBiochemistryImmunology

Abstract

fetched live from OpenAlex

The proteasomal pathway of protein degradation involves two discrete steps: ubiquitination and degradation. Blocking protein degradation by inhibiting the proteasome has well described biologic effects and proteasome inhibitors are approved for the treatment of multiple myeloma and mantle cell lymphoma. In contrast, the biological effects and potential therapeutic utility of inhibiting the ubiquitination cascade and the initiating enzyme UBA1 are less well understood. UBA1 is the initial enzyme in the ubiquitination cascade and initiates the transfer of ubiquitin molecules to target proteins where they are degraded by the proteasome. Here, we review the biological effects of UBA1 inhibition and discuss UBA1 inhibitors as potential anti-cancer agents. Similar to proteasome inhibition, blocking UBA1 elicits an unfolded protein response and induces cell death in malignant cells over normal cells. Chemical UBA1 inhibitors have been developed that target different regions of the enzyme and inhibit its function through different mechanisms. These molecules are useful tools to understand the biology of UBA1 and highlight the potential of inhibiting this target for the treatment of malignancy.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.967
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.238
GPT teacher head0.440
Teacher spread0.202 · 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