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Record W3091858640 · doi:10.1080/14756366.2020.1825408

Design of new disubstituted imidazo[1,2-<i>b</i>]pyridazine derivatives as selective Haspin inhibitors. Synthesis, binding mode and anticancer biological evaluation

2020· article· en· W3091858640 on OpenAlexfundno aff
Jonathan Elie, Omid Feizbakhsh, Nathalie Desban, Béatrice Josselin, Blandine Baratte, Amandine Bescond, Julien Duez, Xavier Fant, Stéphane Bach, Dominique Marie, Matthieu Place, Sami Ben Salah, Agnès Chartier, Sabine Berteina‐Raboin, A. Chaikuad, Stefan Knapp, Fabrice Carles, Pascal Bonnet, Frédéric Buron, Sylvain Routier, Sandrine Ruchaud

Bibliographic record

VenueJournal of Enzyme Inhibition and Medicinal Chemistry · 2020
Typearticle
Languageen
FieldMedicine
TopicChronic Lymphocytic Leukemia Research
Canadian institutionsnot available
FundersEshelman Institute for Innovation, University of North Carolina at Chapel HillMeso Scale DiagnosticsJanssen BiotechInnovative Medicines InitiativeMinistero dello Sviluppo EconomicoRégion BretagneLabexAbbVieNovartis PharmaDeutschen Konsortium für Translationale KrebsforschungCanada Foundation for InnovationOntario Ministry of Economic Development and InnovationAgence Nationale de la RechercheWellcome TrustCancéropôle Grand OuestFundação de Amparo à Pesquisa do Estado de São PauloDiamond Light SourceGenome CanadaTakeda Pharmaceutical CompanyEuropean Federation of Pharmaceutical Industries and AssociationsMerck KGaAPfizerLigue Contre le CancerBoehringer Ingelheim
KeywordsPyridazineChemistryStereochemistryCombinatorial chemistry

Abstract

fetched live from OpenAlex

. The developed inhibitors displayed anti-proliferative properties against various human cancer cell lines in 2D and spheroid cultures and significantly inhibited the migration ability of osteosarcoma U-2 OS cells. Notably, we show that our lead compounds are powerful Haspin inhibitors in human cells, and did not block G2/M cell cycle transition due to improved selectivity against CDK1/CyclinB.

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)0.003
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.617

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.071
GPT teacher head0.344
Teacher spread0.274 · 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

Citations20
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Enzyme Inhibition and Medicinal ChemistrySame topicChronic Lymphocytic Leukemia ResearchFrench-language works237,207