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Record W2123831346 · doi:10.2174/0929867024606678

Heterocyclic Compounds as Inflammation Inhibitors

2002· review· en· W2123831346 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCurrent Medicinal Chemistry · 2002
Typereview
Languageen
FieldChemistry
TopicSynthesis and biological activity
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsBenzimidazoleNonsteroidalPharmacologyChemistryThiazoleThiazolidineAnti-inflammatoryInflammationThioureaGastrointestinal tractToxicityMedicineBiochemistryStereochemistryImmunologyOrganic chemistry

Abstract

fetched live from OpenAlex

Clinical use of non-steroidal anti-inflammatory drugs (NSAIDs) is associated with significant toxicity particularly in the gastrointestinal tract and kidney. Various approaches such as formulation co-administration (of agents to protect the stomach), chemical manipulation and synthesis of new safer anti-inflammatory drugs reported in the literature to overcome the toxicity of NSAIDs have been summarized. As far as synthesis of new more effective and safer anti-inflammatory drugs is concerned, we have reported recent findings in the area of synthesis of heterocyclic compounds such as pyrimidines, imidazole, benzimidazole, thiazole, thiazolidine, acridine, thiourea, alkanoic acid derivatives and other related heterocyclic compounds and their role as inflammation inhibitors.

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.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.966
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.082
GPT teacher head0.337
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