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Record W2787084245 · doi:10.1021/acs.jmedchem.7b01178

Glutathione <i>S</i>-Transferase π-Activatable <i>O</i><sup>2</sup>-(Sulfonylethyl Derived) Diazeniumdiolates Potently Suppress Melanoma in Vitro and in Vivo

2018· article· en· W2787084245 on OpenAlexaff
Zhangjian Huang, Jianbing Wu, Yu Zou, Haoliang Yuan, Yinqiu Zhang, Yue Fei, Atul Bhardwaj, Jatinder Kaur, Edward E. Knaus, Yihua Zhang

Bibliographic record

VenueJournal of Medicinal Chemistry · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGlutathione Transferases and Polymorphisms
Canadian institutionsUniversity of Alberta
FundersKom op tegen KankerProgram for New Century Excellent Talents in UniversityGovernment of Jiangsu ProvinceNational Natural Science Foundation of China
KeywordsChemistryIn vivoIn vitroGlutathioneTransferaseMelanomaGlutathione S-transferaseEnzymeBiochemistryCancer research

Abstract

fetched live from OpenAlex

-(sulfonylethyl derived) diazeniumdiolates 5-12 were designed and synthesized. These compounds could be activated by GSTπ to initiate the β-elimination reaction, liberating an active vinyl sulfone-based GSH derivative and a diazeniumdiolate anion which subsequently releases NO in situ. The most active compound 6 released relatively high levels of NO and inhibited proliferation of melanoma B16 cells, superior to a diazeniumdiolate-based anticancer agent JS-K (1). Importantly, 6 had 8-fold less inhibitory activity against normal epithelial JB6 Cl 30-7b cells. The inhibitory activity of 6 could be diminished by an NO scavenger or GSTπ inhibitor. Furthermore, 6 induced nitration of mitochondrial tyrosine in B16 cells and inoculated B16 tumors in mice, which might be responsible for oxidation of protein leading to tumor suppression. Finally, 6 significantly retarded the B16 cells growth in a mouse xenograft model. These findings suggest that 6 may have a potential to treat melanoma.

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 score0.002

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 head0.006
GPT teacher head0.221
Teacher spread0.216 · 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

Citations17
Published2018
Admission routes1
Has abstractyes

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