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Record W4417155218 · doi:10.1080/17568919.2025.2599648

Recent advance in macrocyclic CDK inhibitors

2025· article· en· W4417155218 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueFuture Medicinal Chemistry · 2025
Typearticle
Languageen
FieldMedicine
TopicCancer-related Molecular Pathways
Canadian institutionsBishop's University
Fundersnot available
KeywordsCyclin-dependent kinaseKinaseDrug discoveryMechanism (biology)DrugDrug developmentDrug design

Abstract

fetched live from OpenAlex

Cyclin-dependent kinases (CDKs) are central regulators of the cell cycle progression and transcription, making them attractive targets especially in oncology. The clinical success of CDK4/6 inhibitors in hormone receptor-positive (HR+) and HER2-negative (HER2-) breast cancer has highlighted the therapeutic potential of CDK inhibition, along with ongoing clinical evaluation of other CDK-targeted agents. Despite the progress, challenges still remain due to off-target toxicity and the emergence of resistance. Recently, macrocycle-based drug design has gained recognition for its ability to enhance the kinase inhibitory activities and selectivity, improve drug-like properties, and potentially overcome resistance. This review summarizes recent advances (2015-2025) in macrocyclization strategies for CDK inhibitors, tracing the structural modification process from the acyclic scaffolds and highlighting their potential to address key limitations of current 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.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.616
Threshold uncertainty score0.884

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.004
GPT teacher head0.255
Teacher spread0.251 · 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