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Record W2123535919 · doi:10.1039/b813363h

Potential new inorganic antitumour agents from combining the anticancer traditional Chinese medicine (TCM) liriodenine with metal ions, and DNA binding studies

2008· article· en· W2123535919 on OpenAlexaff
Zhen‐Feng Chen, Yan‐Cheng Liu, Limin Liu, Heng‐Shan Wang, San-Hai Qin, Bolong Wang, He‐Dong Bian, Bin Yang, Hoong‐Kun Fun, Huagang Liu, Hong Liang, Chris Orvig

Bibliographic record

VenueDalton Transactions · 2008
Typearticle
Languageen
FieldMedicine
TopicMetal complexes synthesis and properties
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCytotoxicityAgarose gel electrophoresisMetalChemistryMetal ions in aqueous solutionNuclear chemistryFluorescenceCarbon-13 NMRChelationDNACrystallographyStereochemistryIn vitroInorganic chemistryOrganic chemistryBiochemistry

Abstract

fetched live from OpenAlex

Liriodenine (), an active component of the anticancer traditional Chinese medicine (TCM), was isolated from Zanthoxylum nitidum. Its reactions with Pt(II) and Ru(II) afforded three metal complexes: cis-[PtCl2(L)] (), cis-[PtCl2(L)(DMSO)] (), and cis-[RuCl2(L)(DMSO)2].1.5H2O (), the crystal structures of , and were determined by single-crystal X-ray diffraction methods. These complexes were fully characterized by elemental analysis, IR spectrophotometry, 1H and 13C NMR spectroscopies, and ES mass spectrometry. The in vitro cytotoxicity of and complexes against 11 human tumour cell lines was assayed. The metal-based compounds exhibit enhanced cytotoxicity vs. free , suggesting that these compounds display synergy in the combination of metal ions and liriodenine. The binding properties of and its complexes to ct-DNA were investigated through UV-vis, fluorescence, CD spectra, viscosity and agarose gels electrophoretic measurements.

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 score0.003

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 head0.100
GPT teacher head0.290
Teacher spread0.190 · 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

Citations62
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueDalton TransactionsSame topicMetal complexes synthesis and propertiesFrench-language works237,207