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Record W2914434989 · doi:10.1139/bcb-2018-0353

Cellular roles of the human Obg-like ATPase 1 (hOLA1) and its YchF homologs

2019· review· en· W2914434989 on OpenAlexafffundvenue
Nirujah Balasingam, Harland E. Brandon, Joseph A. Ross, Hans‐Joachim Wieden, Nehal Thakor

Bibliographic record

VenueBiochemistry and Cell Biology · 2019
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCRISPR and Genetic Engineering
Canadian institutionsUniversity of CalgaryUniversity of Lethbridge
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchAlberta InnovatesMinistero dello Sviluppo Economico
KeywordsGTPaseBiologyCarcinogenesisTranslation (biology)Function (biology)Computational biologyCell biologyMotilitySignal transductionProtein familyGeneticsMessenger RNACancerGene

Abstract

fetched live from OpenAlex

P-loop NTPases comprise one of the major superfamilies of nucleotide binding proteins, which mediate a variety of cellular processes, such as mRNA translation, signal transduction, cell motility, and growth regulation. In this review, we discuss the structure and function of two members of the ancient Obg-related family of P-loop GTPases: human Obg-like ATPase 1 (hOLA1), and its bacterial/plant homolog, YchF. After a brief discussion of nucleotide binding proteins in general and the classification of the Obg-related family in particular, we discuss the sequence and structural features of YchF and hOLA1. We then explore the various functional roles of hOLA1 in mammalian cells during stress response and cancer progression, and of YchF in bacterial cells. Finally, we directly compare and contrast the structure and function of hOLA1 with YchF before summarizing the future perspectives of hOLA1 research. This review is timely, given the variety of recent studies aimed at understanding the roles of hOLA1 and YchF in such critical processes as cellular-stress response, oncogenesis, and protein synthesis.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.580
Threshold uncertainty score1.000

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 integrity0.0010.000
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 head0.014
GPT teacher head0.304
Teacher spread0.290 · 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 designBench or experimental
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
Published2019
Admission routes3
Has abstractyes

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