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Record W2953194867 · doi:10.1021/jm800197b

Microsomal Prostaglandin E<sub>2</sub> Synthase-1 (mPGES-1): A Novel Anti-Inflammatory Therapeutic Target

2008· article· en· W2953194867 on OpenAlexaffabout
Richard W. Friesen, Joseph A. Mancini

Bibliographic record

VenueJournal of Medicinal Chemistry · 2008
Typearticle
Languageen
FieldMedicine
TopicInflammatory mediators and NSAID effects
Canadian institutionsMerck Canada Inc. (Canada)
Fundersnot available
KeywordsChemistryATP synthaseMicrosomeProstaglandinEnzymePharmacologyBiochemistry

Abstract

fetched live from OpenAlex

ADVERTISEMENT RETURN TO ISSUEPerspectiveNEXTMicrosomal Prostaglandin E2 Synthase-1 (mPGES-1): A Novel Anti-Inflammatory Therapeutic TargetRichard W. Friesen*† and Joseph A. Mancini‡View Author Information Departments of Medicinal Chemistry and Biochemistry, Merck Frosst Centre for Therapeutic Research, 16711 Trans Canada Highway, Kirkland, Quebec H9H 3L1, Canada* To whom correspondence should be addressed. Phone: (514) 428-3164. Fax: (514) 428-2624. E-mail: [email protected]†Department of Medicinal Chemistry.‡Department of Biochemistry.Cite this: J. Med. Chem. 2008, 51, 14, 4059–4067Publication Date (Web):May 7, 2008Publication History Received25 February 2008Published online7 May 2008Published inissue 1 July 2008https://pubs.acs.org/doi/10.1021/jm800197bhttps://doi.org/10.1021/jm800197breview-articleACS PublicationsCopyright © 2008 American Chemical SocietyRequest reuse permissionsArticle Views2170Altmetric-Citations71LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose SUBJECTS:Inflammation,Inhibition,Inhibitors,Peptides and proteins,Rodent models Get e-Alerts

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 score0.027
Threshold uncertainty score0.091

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 communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0270.011

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 head0.012
GPT teacher head0.232
Teacher spread0.220 · 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

Citations80
Published2008
Admission routes2
Has abstractyes

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