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Record W4392672222 · doi:10.1016/j.xpro.2024.102947

Protocol for detecting histidine polyphosphate modification of human proteins via MBP-tagged expression in E. coli

2024· article· en· W4392672222 on OpenAlexafffund
Kirsten Lehotsky, Nolan Neville, Zongchao Jia

Bibliographic record

VenueSTAR Protocols · 2024
Typearticle
Languageen
FieldMedicine
TopicPeptidase Inhibition and Analysis
Canadian institutionsQueen's University
FundersNatural Sciences and Engineering Research Council of CanadaCystic Fibrosis Canada
KeywordsPolyphosphateHistidineMaltose-binding proteinChemistryBiochemistryMolecular biologyBiologyAmino acidRecombinant DNAPhosphateGene

Abstract

fetched live from OpenAlex

Polyphosphate exhibits a unique post-translational modification-like function, known as histidine polyphosphate modification (HPM), marked by a robust non-covalent interaction with histidine repeat proteins. Here, we present a protocol for detecting HPM of human proteins via maltose-binding protein-tagged expression in E. coli. We describe steps for detecting HPM by observing electrophoretic mobility shifts on NuPAGE gels followed by western blot. We then detail procedures for analyzing the influence of ionic strength and pH on HPM. For complete details on the use and execution of this protocol, please refer to Neville et al.1

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)0.001
metaresearch head score (Gemma)0.001
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: Protocol · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0110.012

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 head0.077
GPT teacher head0.410
Teacher spread0.333 · 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
GenreProtocol

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

Citations3
Published2024
Admission routes2
Has abstractyes

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