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Record W3121759407 · doi:10.21826/viiiseedmol202097

DFT simulations for the [6-p-cymene)RuCl2(apy)] complex

2020· article· en· W3121759407 on OpenAlexaff
Magno Roger Antonichen, Sérgio Ricardo de Lázaro, Luis H. S. Lacerda, Flávia Marszaukowski, Ivelise Dimbarre Lao Guimarães, Karen Wohnrath, Renè T. Boeré

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicMetal complexes synthesis and properties
Canadian institutionsUniversity of Lethbridge
FundersFundação AraucáriaConselho Nacional de Desenvolvimento Científico e TecnológicoCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorFundação de Amparo à Pesquisa do Estado de São Paulo
KeywordsRutheniumChemistryAtom (system on chip)Bond lengthPlatinumCytotoxicityStereochemistryComputational chemistryMoleculeComputer scienceOrganic chemistryBiochemistryCatalysis

Abstract

fetched live from OpenAlex

Anticarcinogen compounds are extensively investigated in current days. Among the potential alternatives to develop effective drugs for this purpose, stands out the ruthenium (II) complex presents satisfactory anti-tumor activity. In particular, this kind of compounds has been investigated as a possible substitute for Platinum-based drugs. However, Ru (II) complexes need more investigation to understand the ligands' effect on biological environments, such as cytotoxicity, metabolism, accumulation on tumor issues, and others. Therefore, in this work, a robust DFT/B3LYP theoretical investigation was performed using GAUSSIAN09 in order to investigate the effects of the +1 and -1 charges on structural and electronic properties of the (6-p-cymene)Ru(II)Cl2(apy) complex. The structure evaluation indicates that +1 charged complex has a slight reduction on the Ru – cymene, Ru – Cl and Ru – apy bond lengths regarding the neutral complex. On the other hand, -1 charged complex shows bond lengths very similar to the neutral compound, except by a very large distance between Ru and one Cl atom, indicating that such atoms were expelled.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.748
Threshold uncertainty score0.998

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)0.0030.000

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 head0.350
GPT teacher head0.344
Teacher spread0.006 · 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.

Study designNot applicable
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

Citations0
Published2020
Admission routes1
Has abstractyes

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