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Record W3005905102 · doi:10.5539/ijc.v12n1p99

A Novel and Different Approach for the Synthesis of Quinoline Derivatives Starting Directly from Nitroarenes and Their Evaluation as Anti-Cancer Agents

2020· article· en· W3005905102 on OpenAlexvenueno aff
Rizuana Sultana, Ravinder Reddy Tippanna

Bibliographic record

VenueInternational Journal of Chemistry · 2020
Typearticle
Languageen
FieldChemistry
TopicClick Chemistry and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsChemistryQuinolineCombinatorial chemistryApoptosisCell cultureCancer cellStereochemistryCancerOrganic chemistryBiochemistry

Abstract

fetched live from OpenAlex

A series of new quinoline derivatives (6-phenyl-6H-chromeno, [4,3-b] quinoline) have been prepared by using 4-chloro-2-phenyl-2H-chromene-3-carbaldehyde and various substituted nitroarenes as starting materials in the presence of Tin (II) chloride dihydrate and ethanol. The conversion in this synthesis involves the following steps (i) reduction of nitroarenes to anilines, (ii) Coupling of the anilines, chromene aldehydes (iii) Cyclization of resulting species and (iv) dehydration of cyclic intermediates. Several new quinolones have been prepared. We screened eight compounds of this novel series (6a-r) in three different cancer cell lines (B16F10, MCF7 and A549). The screened compounds showed moderate anticancer activity on two of the studied cell lines with best IC50 values of compound 6i (6.10±1.23 µM) and 6m (8.21±2.31 µM) on MCF7 cells. The selected compounds 6i and 6m led to morphological changes after treatment on MCF7 cell line. Interestingly, detailed studies suggested that the compounds 6i and 6m induced apoptosis in MCF7 cells in an oxidative stress independent manner without causing necrosis. In addition, we found destabilization of mitochondrial membrane potential behind the observed anticancer activity. Our results clearly indicate the promising anticancer potential of this novel series. This method is operationally simple and works with a diverse range of substrates.

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)0.001
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 score0.010
Threshold uncertainty score0.354

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.062
GPT teacher head0.321
Teacher spread0.259 · 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

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