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Record W4387417600 · doi:10.5267/j.ccl.2023.8.006

Optimization of pyridine based Schiff bases: Design, synthesis and determination of anti-inflammatory, antioxidant and antimicrobial activity

2023· article· en· W4387417600 on OpenAlexvenueno aff
V. S. Kale, Gangadhar Bhopalkar

Bibliographic record

VenueCurrent Chemistry Letters · 2023
Typearticle
Languageen
FieldChemistry
TopicSynthesis and biological activity
Canadian institutionsnot available
Fundersnot available
KeywordsChemistryAntimicrobialAntioxidantSchiff baseDPPHAnti-inflammatoryNitric oxidePyridineAntibacterial activityCombinatorial chemistryRadicalStereochemistryOrganic chemistryPharmacologyBacteria

Abstract

fetched live from OpenAlex

The present paper proposed the tri-potassium phosphate catalyzed synthesis of some novel series of Schiff bases (3a to 3l) derived from 2-aminopyridine using microwave technique. All synthesized Schiff bases were confirmed by different spectroscopic methods. Further all synthesized imines have been evaluated to screen for antimicrobial, antioxidant and anti-inflammatory activity. The compound 3c displays potent anti-inflammatory activity with 42.307%±1.322 inhibition of inflammation. The antioxidant activity data revealed that all synthesized Schiff bases exhibit potency to scavenge DPPH and nitric oxide radicals. Antimicrobial properties of these compounds showed moderate to excellent growth of inhibitory activity against various tested pathogens. Our observations and examination for pharmacological study towards the presence of active pharmacological functional groups present in the main structural nucleus of synthesized imines. Therefore, present study may lead to the development of a new class of anti-inflammatory and antioxidant drugs with structural modification.

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 score0.039
Threshold uncertainty score0.733

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 head0.024
GPT teacher head0.240
Teacher spread0.216 · 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

Citations6
Published2023
Admission routes1
Has abstractyes

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