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Cytotoxicity of New Selenoimine, Selenonitrone and Nitrone Derivatives Against Human Breast Cancer MDA-MB231 Cells

2020· article· en· W3045177439 on OpenAlexfundno aff
Batool Haddad, Ali A. A. Al-Shawi

Bibliographic record

VenueEgyptian Journal of Chemistry · 2020
Typearticle
Languageen
FieldMedicine
TopicNitric Oxide and Endothelin Effects
Canadian institutionsnot available
FundersMemorial University of NewfoundlandBeatrice Hunter Cancer Research InstituteCancer Research Institute
KeywordsCytotoxicityNitroneBreast cancerHuman breastCancer researchChemistryInternal medicineCancerMedicineBiochemistryIn vitro

Abstract

fetched live from OpenAlex

A series of new nitrone, selenoimine and selenonitrone derivatives were synthesized. Nitrone and selenonitrone derivatives were synthesized through the condensation reaction between N-mono substitutedhydroxylamine and carbonyl compounds substituted with electron donating groups, such as di(4-methoxy)benzoyl diselenide, 4-(N, N-dimethylamino) benzoyl selenonitrile and 4, 4'-di(N, N- dimethylamino)benzil, afforded a variety of new nitrone and selenonitrone compounds. Selenoimine derivative was synthesized through the condensation reaction between tert-butyl amine and (4-methoxybenzoyl selenonitrile). The yield of synthesized compounds (N1, N2, N3, N4 and N5 were (66, 60, 61, 62 and 45) %, respectively. The structures of the synthesized compounds were characterized by FT-IR, 1H-NMR, 13C-NMR, elemental analysis and Mass spectroscopy. Cytotoxicity of selenonitrone (N1) and selenoimine (N3) derivatives against breast cancer cells (MDA-MB231) were evaluated for 24 and 48 h via MTT assay. The IC50 value of compound N1 were 1.714 and 1.897 µM for 24 h and 48 h, respectively. The IC50 values of compound N3 were 1.438 and 2.469 µM for 24 h and 48 h, respectively. The results suggested selenonitrone (N1) and selenoimine (N3) as anti-breast cancer potential lead compound with future merit investigations.

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)0.000
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 score0.003
Threshold uncertainty score0.781

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.016
GPT teacher head0.259
Teacher spread0.243 · 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

Citations4
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueEgyptian Journal of ChemistrySame topicNitric Oxide and Endothelin EffectsFrench-language works237,207