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Design, Synthesis, and Structural Evaluation of Acetylated Phenylthioketone Inhibitors of HDAC10

2024· article· en· W4402274272 on OpenAlexfundno aff
Juana Goulart Stollmaier, P. R. Watson, David W. Christianson

Bibliographic record

VenueACS Medicinal Chemistry Letters · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHistone Deacetylase Inhibitors Research
Canadian institutionsnot available
FundersBrookhaven National LaboratoryBiological and Environmental ResearchDivision of ChemistryOffice of ScienceNational Institute of General Medical SciencesVagelos Institute for Energy Science and Technology, University of PennsylvaniaBeef Cattle Research CouncilUniversity of PennsylvaniaU.S. Department of EnergyNational Institutes of HealthNational Science Foundation
KeywordsAcetylationComputer scienceEngineering ethicsMedicineCombinatorial chemistryChemistryBiochemistryEngineering

Abstract

fetched live from OpenAlex

Histone deacetylase 10 (HDAC10) is unique among the greater HDAC family due to its unusually narrow substrate specificity as a polyamine deacetylase, specifically as an N 8 -acetylspermidine hydrolase. Polyamines are essential for cell growth and proliferation; consequently, inhibition of polyamine deacetylation represents a possible strategy for cancer chemotherapy. In this work, we have designed six acetylated phenylthioketone inhibitors of HDAC10 containing positively charged para - and meta -substituted amino groups designed to target interactions with E274, the gatekeeper that recognizes the positively charged ammonium group of the substrate N 8 -acetylspermidine. We prepared each of these inhibitors through a short synthetic route of six steps. By adapting a low-cost colorimetric activity assay, we measured low-micromolar IC 50 values for these compounds against a humanized construct of zebrafish HDAC10 (A24E-D94A HDAC10). Selected inhibitors were cocrystallized with A24E-D94A zebrafish HDAC10 and zebrafish HDAC6 to provide insight into class IIb isozyme affinity and selectivity.

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)0.000
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 score0.005
Threshold uncertainty score0.674

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.019
GPT teacher head0.299
Teacher spread0.279 · 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

Citations3
Published2024
Admission routes1
Has abstractyes

Explore more

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