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Record W2913325113 · doi:10.1002/qua.25911

A density functional theory study of the free‐radical scavenging activity of aminoguanidine. Comparison with its reactive carbonyl compound and metal scavenging activities

2019· article· en· W2913325113 on OpenAlexafffund
Rafael Ramis, Rodrigo Casasnovas, Laura Mariño, Juan Frau, Miquel Adrover, Bartolomé Vilanova, Nelaine Mora‐Diez, Joaquín Ortega‐Castro

Bibliographic record

VenueInternational Journal of Quantum Chemistry · 2019
Typearticle
Languageen
FieldChemistry
TopicFree Radicals and Antioxidants
Canadian institutionsThompson Rivers University
FundersSecretaría de Estado de Investigación, Desarrollo e InnovaciónNatural Sciences and Engineering Research Council of CanadaMinisterio de Economía y Competitividad
KeywordsChemistryHydroperoxylScavengingRadicalScavengerCationic polymerizationSolventMoleculeContext (archaeology)Density functional theorySolvent effectsPhotochemistryMedicinal chemistryAntioxidantComputational chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract Since protein glycation is related to several human diseases, it is very important to develop molecules that can inhibit its effects. This work adds the reaction of Aminoguanidine (AG) with the methoxy (˙OCH 3 ) and hydroperoxyl (˙OOH) radicals at the UM05‐2X‐SMD/6‐311+G(d,p) level of theory in water and pentyl ethanoate to simulate the physiological aqueous and lipidic environments. At physiological pH, AG is an effective ˙OCH 3 and a moderate ˙OOH scavenger in nonpolar solvents (where AG is predominantly neutral), acting exclusively by hydrogen‐atom transfer. However, reactions in a polar solvent (where AG is predominantly cationic) have smaller rate constants. Therefore, the ability of AG to scavenge free radicals seems to depend on the polarity of the environment. Taken together, the results reported herein and in previous works suggest that the scavenging of reactive carbonyl species is the main mechanism of action of aminoguanidine in the context of protein glycation inhibition.

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 score0.028
Threshold uncertainty score0.605

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 science0.0010.000
Research integrity0.0000.001
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 head0.241
Teacher spread0.226 · 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 routes2
Has abstractyes

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