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Record W4319451626 · doi:10.5281/zenodo.7618095

Discovery and characterization of a chemical probe targeting the zinc-finger ubiquitin-binding domain of HDAC6

2023· article· en· W4319451626 on OpenAlexaff
Rachel Harding, Ivan Franzoni, Mandeep Mann, Magdalena M. Szewczyk, Bijan Mirabi, Suzanne Ackloo, Alexej Scheremetjew, Kevin A. Juárez‐Ornelas, Randy Sanichar, Rachel J. Baker, Christian Dank, Peter J. Brown, Dalia Baršytė-Lovejoy, Vijayaratnam Santhakumar, Matthieu Schapira, Mark Lautens, C.H. Arrowsmith

Bibliographic record

VenueFigshare · 2023
Typearticle
Languageen
FieldMedicine
TopicPeptidase Inhibition and Analysis
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsZinc fingerUbiquitinCharacterization (materials science)RING finger domainChemistryComputational biologyBiophysicsCell biologyLIM domainBiochemistryBiologyNanotechnologyMaterials scienceTranscription factor

Abstract

fetched live from OpenAlex

These data are the R scripts, environments, output used for analyzing chemoproteomics data. The volcano plot shown in the manuscript is based on the DEP R package. To validate the enrichment output from DEP, the proteomics data was also processed with the proDA package. Filename (7 files) Description combined_protein_Int.txt Output from database search hdac6_dep_submitted.R script used to process data (from DEP package) hdac6_dep_submitted.R.RData workspace environment from DEP package hdac6probecontrol_dep.csv exported list of p-value and fold-change from DEP hdac6probecontrol_proda.csv exported list of p-value and fold-change from proDA hdac6proda_submitted.R proDA script hdac6proda_submitted.RData proDA workspace environment

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.022
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0220.011

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 head0.024
GPT teacher head0.262
Teacher spread0.237 · 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 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

Citations1
Published2023
Admission routes1
Has abstractyes

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