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Record W4408287567 · doi:10.1021/acs.jmedchem.4c02021

Monoselective Histone Deacetylase 6 PROTAC Degrader Shows <i>In Vivo</i> Tractability

2025· article· en· W4408287567 on OpenAlexafffund
Harsimran Kaur Garcha, Olasunkanmi O. Olaoye, Abootaleb Sedighi, Daniel Pölöske, Pearla Hariri, Wenlong Yu, Diaaeldin I. Abdallah, Richard Moriggl, Elvin D. de Araujo, Patrick T. Gunning

Bibliographic record

VenueJournal of Medicinal Chemistry · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Degradation and Inhibitors
Canadian institutionsUniversity of Toronto
FundersCanada Research ChairsLeukemia and Lymphoma Society of CanadaCancer Research Society
KeywordsChemistryIn vivoHistone deacetylaseHistoneBiochemistryGeneticsGene

Abstract

fetched live from OpenAlex

Herein, we report a potent HDAC6 PROTAC, TO-1187, which selectively degrades HDAC6 in cellulo and demonstrates in vivo efficacy. The design of TO-1187 was achieved by linking our previously reported HDAC6 inhibitor, TO-317, to the cereblon (CRBN) E3 ligase ligand, pomalidomide. TO-1187 achieved monoselective HDAC6 degradation in human multiple myeloma cells, MM.1S, with a D max of 94% and a DC 50 of 5.81 nM after 6 h. Importantly, at concentrations up to 25 μM, TO-1187 exhibited no cellular degradation of other HDACs. Proteomic evaluation confirmed a highly selective proteome-wide degradation profile, with HDAC6 the only protein observed to be depleted. Notably, TO-1187 did not impact the abundance of well-known CRBN neosubstrates, like IKZF1, IKZF3, CK1α, SALL4, and GSPT1. In vivo evaluation confirmed that TO-1187 efficiently degraded HDAC6 in mouse tissues, measured 6 h after intravenous injection. In summary, TO-1187 represents a viable candidate for advanced preclinical evaluation of HDAC6 biology.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.011
Threshold uncertainty score0.531

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.006
GPT teacher head0.279
Teacher spread0.273 · 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

Citations18
Published2025
Admission routes2
Has abstractyes

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