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Record W2018035774 · doi:10.3109/10408363.2014.915287

The role of ubiquitin-binding domains in human pathophysiology

2014· review· en· W2018035774 on OpenAlexaff
Kleitos Sokratous, Andreas Hadjisavvas, Eleftherios P. Diamandis, Kyriacos Kyriacou

Bibliographic record

VenueCritical Reviews in Clinical Laboratory Sciences · 2014
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicUbiquitin and proteasome pathways
Canadian institutionsUniversity Health NetworkMount Sinai Hospital
Fundersnot available
KeywordsUbiquitinBiologySignal transductionComputational biologyCell biologyBioinformaticsGeneticsGene

Abstract

fetched live from OpenAlex

Ubiquitination, a fundamental post-translational modification (PTM) resulting in the covalent attachment of ubiquitin (Ub) to a target protein, is currently implicated in several key cellular processes. Although ubiquitination was initially associated with protein degradation, it is becoming increasingly evident that proteins labeled with polyUb chains of specific topology and length are activated in an ever-expanding repertoire of specific cellular processes. In addition to their involvement in the classical protein degradation pathways they are involved in DNA repair, kinase regulation and nuclear factor-κB (NF-κB) signaling. The sorting and processing of distinct Ub signals is mediated by small protein motifs, known as Ub-binding domains (UBDs), which are found in proteins that execute disparate biological functions. The involvement of UBDs in several biological pathways has been revealed by several studies which have highlighted the vital role of UBDs in cellular homeostasis. Importantly, functional impairment of UBDs in key regulatory pathways has been related to the development of pathophysiological conditions, including immune disorders and cancer. In this review, we present an up-to-date account of the crucial role of UBDs and their functions, with a special emphasis on their functional impairment in key biological pathways and the pathogenesis of several human diseases. The still under-investigated topic of Ub-UBD interactions as a target for developing novel therapeutic strategies against many diseases is 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 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)0.013
metaresearch head score (Gemma)0.016
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.990
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.085
GPT teacher head0.456
Teacher spread0.371 · 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.

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

Citations7
Published2014
Admission routes1
Has abstractyes

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