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Design and Synthesis of Mercaptoacetamides as Potent, Selective, and Brain Permeable Histone Deacetylase 6 Inhibitors

2017· article· en· W2605250739 on OpenAlexafffund
Wei Lv, Guangming Zhang, Cyril Bařinka, James H. Eubanks, Alan P. Kozikowski

Bibliographic record

VenueACS Medicinal Chemistry Letters · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHistone Deacetylase Inhibitors Research
Canadian institutionsUniversity Health Network
FundersCanadian Institutes of Health ResearchOntario Brain InstituteNational Institute of Neurological Disorders and StrokeStyrelsen för Internationellt Utvecklingssamarbete
KeywordsProdrugHDAC6AcetylationChemistryIn vivoPharmacologyHistone deacetylaseBiochemistryHistoneBiologyGene

Abstract

fetched live from OpenAlex

A series of nonhydroxamate HDAC6 inhibitors were prepared in our effort to develop potent and selective compounds for possible use in central nervous system (CNS) disorders, thus obviating the genotoxicity often associated with the hydroxamates. Halogens are incorporated in the cap groups of the designed mercaptoacetamides in order to increase brain accessibility. The indole analogue 7e and quinoline analogue 13a displayed potent HDAC6 inhibitory activity (IC 50, 11 and 2.8 nM) and excellent selectivity against HDAC1. Both 7e and 13a together with their ester prodrug 14 and disulfide prodrugs 15 and 16 were found to be effective in promoting tubulin acetylation in HEK cells. The disulfide prodrugs 15 and 16 also released a stable concentration of 7e and 13a upon microsomal incubation. Administration of 15 and 16 in vivo was found to trigger an increase of tubulin acetylation in mouse cortex. These results suggest that further exploration of these compounds for the treatment of CNS disorders is warranted.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.010
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.011
GPT teacher head0.277
Teacher spread0.266 · 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.

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

Citations37
Published2017
Admission routes2
Has abstractyes

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