MétaCan
Menu
Back to cohort

Discovery of Potent and Orally Bioavailable Pyrimidine Amide cGAS Inhibitors via Structure-Guided Hybridization

2024· article· en· W4404702509 on OpenAlexaff
Patrick Cyr, Lee D. Fader, Jason D. Burch, Kelly A. Pike, Daniel V. Sietsema, Marc-Olivier Boily, Stéphane Ciblat, Nicolas Sgarioto, Alexander Skeldon, Samuel Gaudreault, Pierre Gros, Valérie Dumais, Daniel J. McKay, Nathan S. Abraham, Ria Seliniotakis, Ramsay E. Beveridge

Bibliographic record

VenueACS Medicinal Chemistry Letters · 2024
Typearticle
Languageen
FieldImmunology and Microbiology
Topicinterferon and immune responses
Canadian institutionsTelesta Therapeutics (Canada)
Fundersnot available
KeywordsLead compoundChemistryPyrimidineLigand efficiencyIn vivoPharmacologyCarboxylateAmideBinding siteStructure–activity relationshipStereochemistryBiochemistryLigand (biochemistry)In vitroBiologyReceptor

Abstract

fetched live from OpenAlex

Using a high-throughput screening (HTS) approach, a new GTP-site binding pyridine-carboxylate series of cGAS inhibitors was discovered. The biochemical potency of this new pyridine carboxylate series was improved 166-fold from the original hit to double-digit nanomolar levels using structure-based design insights, but the series was found to suffer from low permeability and low bioavailability. A structure-based hybridization of the metal-binding motifs of the pyridine carboxylate series and our previously disclosed tetrahydrocarboline GTP-site ligand 23 identified pyrimidine amide compound 36 . Compound 36 is potent against both human and mouse cGAS isoforms and has a favorable pharmacokinetic (PK) profile in mice. Additionally, compound 36 displayed a dose-dependent reduction in cGAMP production in a ConA pharmacodynamic mouse model of acute liver injury, demonstrating potential utility as an in vivo tool compound for further investigation of the cGAS pathway.

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 score0.018
Threshold uncertainty score0.663

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 head0.007
GPT teacher head0.224
Teacher spread0.217 · 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

Citations3
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueACS Medicinal Chemistry LettersSame topicinterferon and immune responsesFrench-language works237,207