MétaCan
Menu
Back to cohort

Discovery of OICR12694: A Novel, Potent, Selective, and Orally Bioavailable BCL6 BTB Inhibitor

2023· article· en· W4315780383 on OpenAlexafffund
Ahmed Mamai, Anh Chau, Brian J. Wilson, Iain D. G. Watson, Babu Joseph, Pandiaraju R. Subramanian, Monzur M. Morshed, Justin A. Morin, Michaël Prakesch, Tianbao Lu, Pete Connolly, D.A. Kuntz, Neil C. Pomroy, Gennady Poda, Kong T. Nguyen, Richard Marcellus, Graig Strathdee, Brigitte L. Thériault, Ratheesh Subramaniam, Mohammed Mohammed, Ayome Abibi, Manuel Chan, Jeffrey Winston, Taira Kiyota, Elijus Undzys, Ahmed Aman, Nigel Austin, Marc Du Jardin, Kathryn Packman, Ulrike Phillippar, Riccardo Attar, James P. Edwards, Jeff A. O’Meara, David Uehling, Rima Al‐awar, Gilbert G. Privé, Methvin Isaac

Bibliographic record

VenueACS Medicinal Chemistry Letters · 2023
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsPrincess Margaret Cancer CentreUniversity of TorontoOntario Institute for Cancer Research
FundersLeslie Dan Faculty of Pharmacy, University of TorontoOntario Institute for Cancer ResearchUniversity of TorontoOntario Ministry of Research and InnovationOntario Ministry of Research, Innovation and Science
KeywordsBCL6LymphomaVirtual screeningRepressorCancer researchDiffuse large B-cell lymphomaBioavailabilityChemistryPharmacologyMedicineTranscription factorB cellInternal medicineDrug discoveryImmunologyGeneBiochemistryGerminal center

Abstract

fetched live from OpenAlex

B cell lymphoma 6 (BCL6), a highly regulated transcriptional repressor, is deregulated in several forms of non-Hodgkin lymphoma (NHL), most notably in diffuse large B-cell lymphoma (DLBCL). The activities of BCL6 are dependent on protein–protein interactions with transcriptional co-repressors. To find new therapeutic interventions addressing the needs of patients with DLBCL, we initiated a program to identify BCL6 inhibitors that interfere with co-repressor binding. A virtual screen hit with binding activity in the high micromolar range was optimized by structure-guided methods, resulting in a novel and highly potent inhibitor series. Further optimization resulted in the lead candidate 58 (OICR12694/JNJ-65234637), a BCL6 inhibitor with low nanomolar DLBCL cell growth inhibition and an excellent oral pharmacokinetic profile. Based on its overall favorable preclinical profile, OICR12694 is a highly potent, orally bioavailable candidate for testing BCL6 inhibition in DLBCL and other neoplasms, particularly in combination with other therapies.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.021
Threshold uncertainty score0.728

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.013
GPT teacher head0.242
Teacher spread0.229 · 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

Citations13
Published2023
Admission routes2
Has abstractyes

Explore more

Same venueACS Medicinal Chemistry LettersSame topicLymphoma Diagnosis and TreatmentFrench-language works237,207