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Record W4385323638 · doi:10.1021/acs.jmedchem.3c00314

Discovery and Characterization of a Chemical Probe Targeting the Zinc-Finger Ubiquitin-Binding Domain of HDAC6

2023· article· en· W4385323638 on OpenAlexafffund
Rachel Harding, Ivan Franzoni, Mandeep Mann, Magdalena M. Szewczyk, Bijan Mirabi, Renato Ferreira de Freitas, Dominic D. G. Owens, 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

VenueJournal of Medicinal Chemistry · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHistone Deacetylase Inhibitors Research
Canadian institutionsPrincess Margaret Cancer CentreStructural Genomics ConsortiumUniversity of Toronto
FundersNational Institute of General Medical SciencesNatural Sciences and Engineering Research Council of CanadaGenentechOntario Genomics InstituteTakeda Pharmaceutical CompanyEuropean Federation of Pharmaceutical Industries and AssociationsStructural Genomics ConsortiumJanssen PharmaceuticalsMerck KGaANational Institutes of HealthOntario GenomicsOffice of Research Infrastructure Programs, National Institutes of HealthGenome CanadaBayerPfizerBristol-Myers SquibbMcGill UniversityOffice of ScienceAustrian Science FundBoehringer IngelheimArgonne National LaboratoryU.S. Department of Energy
KeywordsHDAC6ChemistryUbiquitinSmall moleculeZinc fingerCell biologyDrug discoveryUbiquitin ligaseIn vitroHistone deacetylaseBiochemistryComputational biologyHistoneBiologyGene

Abstract

fetched live from OpenAlex

High Resolution Image Download MS PowerPoint Slide Histone deacetylase 6 (HDAC6) inhibition is an attractive strategy for treating numerous cancers, and HDAC6 catalytic inhibitors are currently in clinical trials. The HDAC6 zinc-finger ubiquitin-binding domain (UBD) binds free C-terminal diglycine motifs of unanchored ubiquitin polymer chains and protein aggregates, playing an important role in autophagy and aggresome assembly. However, targeting this domain with small molecule antagonists remains an underdeveloped avenue of HDAC6-focused drug discovery. We report SGC-UBD253 ( 25 ), a chemical probe potently targeting HDAC6-UBD in vitro with selectivity over nine other UBDs, except for weak USP16 binding. In cells, 25 is an effective antagonist of HDAC6-UBD at 1 μM, with marked proteome-wide selectivity. We identified SGC-UBD253N ( 32 ), a methylated derivative of 25 that is 300-fold less active, serving as a negative control. Together, 25 and 32 could enable further exploration of the biological function of the HDAC6-UBD and investigation of the therapeutic potential of targeting this domain.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.009
GPT teacher head0.265
Teacher spread0.256 · 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

Citations10
Published2023
Admission routes2
Has abstractyes

Explore more

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