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Record W4388852256 · doi:10.1139/cjc-2023-0160

NMR characterization of novel interactions between p97 AAA+ ATPase and the p47 adaptor revealing insights into substrate delivery mechanism

2023· article· en· W4388852256 on OpenAlexafffundvenue
Peter Kim, Megan K. Black, Felipe P. Perez, Rui Huang

Bibliographic record

VenueCanadian Journal of Chemistry · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA regulation and disease
Canadian institutionsUniversity of Guelph
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsChemistryMechanism (biology)ATPaseSubstrate (aquarium)Signal transducing adaptor proteinCharacterization (materials science)AAA proteinsBiophysicsNanotechnologyStereochemistryCrystallographyBiochemistryEnzymePhosphorylation

Abstract

fetched live from OpenAlex

p97/VCP is an essential AAA+ ATPase involved in diverse cellular activities by interacting with an array of protein adaptors that recruit p97 for specific tasks. p47 is one of the adaptors that targets p97 for membrane remodeling by forming a stable complex with p97 through multivalent interactions. Here, we report a pair of previously unidentified interactions between the N-terminal part of p47 (residues 1–94) and the N-terminal domain (NTD) of p97. Using nuclear magnetic resonance (NMR) spectroscopy, we identify two binding sites on p47, one located on the ubiquitin-associated (UBA) domain and the other on the intrinsically disordered linker, that interact with the same basic patch on p97 NTD, driven by electrostatic forces. Reciprocal NMR titration experiments between p47 (residues 1–94) and p97 NTD reveal that these interactions are relatively weak in nature with dissociation constants on the order of hundreds of micromolar to millimolar in trans. Structural models of the two interactions are developed based on NMR chemical shift perturbations, which reveal details of the tentative binding interfaces. Our findings provide new insights into the mechanism by which ubiquitinated substrates are delivered from p47 to p97 for unfolding.

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 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 score0.027
Threshold uncertainty score0.287

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.014
GPT teacher head0.225
Teacher spread0.211 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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

Citations4
Published2023
Admission routes3
Has abstractyes

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