MétaCan
Menu
Back to cohort
Record W2906861310 · doi:10.1002/slct.201803592

Design and Synthesis of Tetrandrine Derivatives as Potential Anti‐tumor Agents Against A549 Cell Lines

2019· article· en· W2906861310 on OpenAlexaff
Nana Niu, Tao Jin, Xia Li, Jinfang Xu, Tingli Qu, Graham J. Bodwell

Bibliographic record

VenueChemistrySelect · 2019
Typearticle
Languageen
FieldMedicine
TopicBerberine and alkaloids research
Canadian institutionsMemorial University of Newfoundland
FundersNational Natural Science Foundation of China
KeywordsTetrandrineChemistryA549 cellApoptosisCell cultureSonogashira couplingIn vitroWestern blotStereochemistryPharmacologyBiochemistryBiologyPalladium

Abstract

fetched live from OpenAlex

Abstract Tetrandrine ( 1 ) was converted to 5‐bromotetrandrine ( 2 ) using a mild oxidative system (DMSO/HBr). Suzuki‐Miyaura and Sonogashira cross‐coupling reactions were then employed to yield a set of 5‐substituted tetrandrine derivatives. A total of 19 new compounds was synthesized and they were characterized by 1 H NMR, 13 C NMR and HRMS. Their antiproliferative activities against A549 cell lines in vitro were evaluated using the MTT assay. Most of the compounds were found to possess significant inhibitory activities and compound 7 had the highest (IC 50 = 3.04 μM). Further studies on the mechanism demonstrated by compound 7 showed that it promotes apoptosis of A549 cells in a dose‐dependent manner and reduces the mitochondrial membrane potential. Western blot results showed that the compound up‐regulated the levels of Bax protein and down‐regulated the level of Bcl‐2 protein. Compared to the control group, the expression of cleaved‐caspase 3 and cleaved‐PARP in cells was significantly increased.

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 score0.004
Threshold uncertainty score0.578

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.015
GPT teacher head0.272
Teacher spread0.258 · 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

Citations7
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueChemistrySelectSame topicBerberine and alkaloids researchFrench-language works237,207