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Record W4410904866 · doi:10.5267/j.ccl.2025.4.002

An MEDT study of Diels-Alder reactions of a tetrahydroazulenone with maleimides: Mechanism, selectivity, and antimicrobial insights

2025· article· en· W4410904866 on OpenAlexvenueno aff
Abdeljabbar Jaddi, Amine Rafik, Ouadia Hamlaoui, Mohammed Salah, A. Garcı́a-Vela, Khadija Marakchi

Bibliographic record

VenueCurrent Chemistry Letters · 2025
Typearticle
Languageen
FieldChemistry
TopicOrganic Chemistry Cycloaddition Reactions
Canadian institutionsnot available
FundersMinisterio de Ciencia e InnovaciónEuropean Commission
KeywordsChemistrySelectivityAntimicrobialMechanism (biology)Diels–Alder reactionOrganic chemistryCombinatorial chemistryCatalysis

Abstract

fetched live from OpenAlex

The Diels-Alder cycloaddition of cyclopentadienone derivative 3-methyl-5,6,7,8-tetrahydroazulen-1(4H)-one with a series of maleimide derivatives is studied using Molecular Electron Density Theory at the B3LYP/6-311++G(d,p) computational level. Conceptual Density Functional Theory analysis predicts low reaction polarity, which is confirmed by global electron density transfer analysis at the transition structures. Topological analysis reveals the electron distribution and evolution of multiple covalent and non-covalent interactions at the transition structures. The results indicate that these Diels-Alder reactions follow an asynchronous one-step mechanism under kinetic control, favouring the endo product formation. Bonding Evolution Theory shows that the reaction mechanism can further be decomposed into five distinct bonding evolution phases. In addition, a molecular docking study is conducted to assess the antimicrobial potential of the reaction products against Escherichia coli and Staphylococcus aureus. An evaluation of the results of binding affinity and molecular interactions concludes that the products are viable as antimicrobial agents.

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 score0.002
Threshold uncertainty score0.006

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)0.0020.000

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 head0.007
GPT teacher head0.242
Teacher spread0.235 · 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

Citations2
Published2025
Admission routes1
Has abstractyes

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