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Record W1965341570 · doi:10.1021/jm901577g

Evaluation of Substituted <i>N</i>,<i>N</i>′-Diarylsulfonamides as Activators of the Tumor Cell Specific M2 Isoform of Pyruvate Kinase

2009· article· en· W1965341570 on OpenAlexafffund
Matthew B. Boxer, Jian‐kang Jiang, Matthew G. Vander Heiden, Min Shen, Amanda P. Skoumbourdis, Noel Southall, Henrike Veith, William Leister, Christopher P. Austin, Hee Won Park, James Inglese, Lewis C. Cantley, Douglas S. Auld, Craig J. Thomas

Bibliographic record

VenueJournal of Medicinal Chemistry · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Hypoxia, and Metabolism
Canadian institutionsStructural Genomics ConsortiumUniversity of Toronto
FundersNational Institutes of HealthNational Cancer InstituteNational Institute of General Medical SciencesNational Institute of Mental HealthCanadian Institutes of Health ResearchWellcome Trust
KeywordsPKM2Pyruvate kinaseChemistrySolubilityIsozymeWarburg effectKinaseBiochemistryGlycolysisCell growthMetabolismEnzymeSmall moleculeOrganic chemistry

Abstract

fetched live from OpenAlex

The metabolism of cancer cells is altered to support rapid proliferation. Pharmacological activators of a tumor cell specific pyruvate kinase isozyme (PKM2) may be an approach for altering the classic Warburg effect characteristic of aberrant metabolism in cancer cells yielding a novel antiproliferation strategy. In this manuscript, we detail the discovery of a series of substituted N,N'-diarylsulfonamides as activators of PKM2. The synthesis of numerous analogues and the evaluation of structure-activity relationships are presented as well as assessments of mechanism and selectivity. Several agents are found that have good potencies and appropriate solubility for use as chemical probes of PKM2 including 55 (AC(50) = 43 nM, maximum response = 84%; solubility = 7.3 microg/mL), 56 (AC(50) = 99 nM, maximum response = 84%; solubility = 5.7 microg/mL), and 58 (AC(50) = 38 nM, maximum response = 82%; solubility = 51.2 microg/mL). The small molecules described here represent first-in-class activators of PKM2.

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 score0.001
Threshold uncertainty score0.003

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)0.0010.000

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 head0.011
GPT teacher head0.253
Teacher spread0.242 · 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

Citations164
Published2009
Admission routes2
Has abstractyes

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Same venueJournal of Medicinal ChemistrySame topicCancer, Hypoxia, and MetabolismFrench-language works237,207