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Record W2891025859 · doi:10.1002/pep2.24091

Peptides meet ubiquitin: Simple interactions regulating complex cell signaling

2018· article· en· W2891025859 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenuePeptide Science · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicUbiquitin and proteasome pathways
Canadian institutionsUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsUbiquitinProteasomeTranslation (biology)PeptideBiologyComputational biologyProtein–protein interactionCell biologyBiochemistryMessenger RNAGene

Abstract

fetched live from OpenAlex

Abstract The interplay between the ubiquitin proteasome system (UPS) and diverse peptide motifs controls almost every aspect of cell homeostasis. To achieve such an impressive functional diversity nature has evolved hundreds of different peptide motifs that interact with proteins in the UPS and ubiquitin itself to generate an immense network of interactions. Short peptides embedded in proteins are involved in controlling the intracellular levels of proteins as well as in the translation of ubiquitin signals into biochemical events. Therefore, it is not surprising that dysregulation of such interactions is associated with many diseases, including metabolic syndromes, neurodegenerative disorders, and cancer. We review the structural and functional features of peptide motifs interacting with the UPS and their use for generating protein‐protein interaction inhibitors.

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 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 score0.064
Threshold uncertainty score0.634

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.033
GPT teacher head0.299
Teacher spread0.266 · 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