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Record W4405026145 · doi:10.1021/acs.jmedchem.4c01595

Discovery of ART0380, a Potent and Selective ATR Kinase Inhibitor Undergoing Phase 2 Clinical Studies for the Treatment of Advanced or Metastatic Solid Cancers

2024· article· en· W4405026145 on OpenAlexaff
Christopher L. Carroll, Michael G. Johnson, Yanbing Ding, Zhijun Kang, R. S. K. Vijayan, Jennifer Bardenhagen, David Lapointe, Meng Li, Chiu-Yi Liu, Xiaobing Lv, XiaoYan Ma, Jihai Pang, Hannah E. Shepard, Catalina Suarez, Anne Yau, Christopher C. Williams, Qi Wu, Robert A. Heald, Helen M.R. Robinson, Graeme C.M. Smith, Jason B. Cross, Mary Geck, Yongying Jiang, Sarah Lively, Timothy A. Yap, Virginia Giuliani, Timothy P. Heffernan, Philip Jones, Maria Emilia Di Francesco

Bibliographic record

VenueJournal of Medicinal Chemistry · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDNA Repair Mechanisms
Canadian institutionsInstitute of Cancer Research
Fundersnot available
KeywordsIn vivoChemistryDNA damageCancer researchPharmacologyKinaseCancerDosingDNAMedicineInternal medicineBiologyBiochemistry

Abstract

fetched live from OpenAlex

One of the hallmarks of cancer is high levels of DNA replication stress and defects in the DNA damage response (DDR) pathways, which are critical for maintaining genomic integrity. Ataxia telangiectasia and Rad3-related protein (ATR) is a key regulator of the DDR machinery and an attractive therapeutic target, with multiple ATR inhibitors holding significant promise in ongoing clinical studies. Herein, we describe the discovery and characterization of ART0380 ( 6 ), a potent and selective ATR inhibitor with a compelling in vitro and in vivo pharmacological profile currently undergoing Phase 2 clinical studies in patients with advanced or metastatic solid tumors as monotherapy and in combination with DNA-damaging agents (NCT04657068 and NCT05798611). ART0380 ( 6 ) has a favorable human PK profile suitable for both intermittent and continuous once-daily (QD) dosing, characterized by a dose-proportional increase in exposure and low variability.

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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.039
GPT teacher head0.402
Teacher spread0.363 · 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

Citations15
Published2024
Admission routes1
Has abstractyes

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