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Record W2071001401 · doi:10.1002/qua.23049

Conformational and thermodynamic analysis of the COXIB scaffold using quantum chemical calculations

2011· article· en· W2071001401 on OpenAlexaff
Michael C. Owen, Milán Szó ́ri, Balázs Jójárt, Béla Viskolcz, Imre G. Csizmadia

Bibliographic record

VenueInternational Journal of Quantum Chemistry · 2011
Typearticle
Languageen
FieldMedicine
TopicInflammatory mediators and NSAID effects
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsConformational isomerismChemistryEnthalpyGibbs free energyProtonationComputational chemistryMolecular dynamicsStereochemistryThermodynamicsPhysical chemistryMoleculeOrganic chemistryPhysics

Abstract

fetched live from OpenAlex

Abstract Selective cyclo‐oxygenase‐2 inhibitors (COXIBs) are prominent members of the nonsteroidal anti‐inflammatory drugs. The neutral and protonated COXIB scaffold has been subjected to molecular computations in the gas phase and implicit solvent to measure the relative changes in the thermodynamic functions, enthalpy ( H rel ), potential energy ( U rel ), Gibbs free energy ( G rel ) and entropy ( S rel ) induced by selected substituents. Conformational analysis of the COXIB scaffold indentified four pairs of atropisomeric conformers (from I, I′ to IV, IV′) associated with a molecular structure containing a double rotor system. All conformers had similar stability. Para‐substitution with substituents that cover a wide range of Hammett sigma values did not alter the geometries of the neutral COXIB conformers; however, the protonated COXIB scaffold was showed an increase in structural and thermodynamic perturbations due to inductive effects. Flexibility and structural resilience of the COXIB scaffold under the conditions studied herein could be an important feature of the COXIBs, especially considering the previously proposed flexibility of the cyclo‐oxygenase binding site. © 2011 Wiley Periodicals, Inc. Int J Quantum Chem, 2011

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.569
Threshold uncertainty score0.286

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 head0.026
GPT teacher head0.281
Teacher spread0.255 · 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

Citations1
Published2011
Admission routes1
Has abstractyes

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