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Record W2166963862 · doi:10.2174/187152012800228823

Synthesis of Cis-Fused Pyran Indolocarbazole Derivatives that Inhibit FLT3 Kinase and the DNA Damage Kinase, Checkpoint Kinase 1

2012· article· en· W2166963862 on OpenAlexafffund
Françoise Perron‐Sierra, Nathalie Kucharkzyk, Céline Boucley, Christel Guyard-Daumas, Sophie Sciberras, Christine Fouache, Sabine Plantier, Aurélie Studény, Céline Bossard, Patrick Casara, Roy M. Golsteyn

Bibliographic record

VenueAnti-Cancer Agents in Medicinal Chemistry · 2012
Typearticle
Languageen
FieldMedicine
TopicCancer-related Molecular Pathways
Canadian institutionsUniversity of Lethbridge
FundersInstitut de Recherches ServierAlberta Innovates
KeywordsKinaseCHEK1PyranProtein kinase ATyrosine kinaseG2-M DNA damage checkpointCancer researchBiologyChemistryBiochemistrySignal transductionCell cycle checkpointCellCell cycleStereochemistry

Abstract

fetched live from OpenAlex

Protein kinases are important enzymes in solid tumour and leukaemia pathologies. Their structures are well understood at the atomic level and their key role in the progression of certain cancers makes them valuable targets for anti-cancer therapy. Through medicinal chemical approaches, we developed an efficient preparative stereospecific synthesis of N12, N13 pyran-bridged indolocarbazoles that opens access to functional diversity within this previously challenging series. We focused upon the indolocarbazole class of chemical inhibitors, which includes S27888, an inhibitor we previously identified. We used biochemical and cell-based assays to identify small molecule inhibitors of Checkpoint kinase 1 (Chk1), a serine/threonine protein kinase that is activated when cancer cells are treated with genotoxic agents. These compounds show a promising inhibitory profile on Chk1. Furthermore, these compounds are active against FLT3, which is a tyrosine kinase that is frequently activated in human leukaemias. These data suggest that this chemical class may provide a source of therapeutic compounds for a broad range of human cancers.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.019
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.029
GPT teacher head0.288
Teacher spread0.259 · 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.

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

Citations4
Published2012
Admission routes2
Has abstractyes

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