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Record W2534201127 · doi:10.1016/j.cellsig.2016.10.004

The NHR domains of Neuralized and related proteins: Beyond Notch signalling

2016· review· en· W2534201127 on OpenAlexafffund
Sili Liu, Gabrielle L. Boulianne

Bibliographic record

VenueCellular Signalling · 2016
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicUbiquitin and proteasome pathways
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
FundersCanada Research Chairs
KeywordsBiologyUbiquitin ligaseNotch signaling pathwayCell biologyGeneticsProtein familyHomology (biology)Computational biologyUbiquitinSignal transductionGene

Abstract

fetched live from OpenAlex

Neuralized Homology Repeats (NHRs) were first identified in Neuralized, an E3-ubiquitin ligase that plays a key role in the Notch signalling pathway. Since their original discovery, NHR domains have been shown to regulate protein-protein interactions in a broad range of developmental processes and in a wide variety of species from flies to humans. The NHR family of proteins can be categorized into three groups: (1) those that contain a RING finger, (2) those that contain a SOCS box and, (3) those that only have NHR domains. Here we review the structure and function of NHR domains in various cellular and developmental processes.

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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.021
GPT teacher head0.264
Teacher spread0.243 · 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

Citations17
Published2016
Admission routes2
Has abstractyes

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