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Record W4404351589 · doi:10.1021/acs.jmedchem.4c01819

Discovery and Preclinical Characterization of Fulacimstat (BAY 1142524), a Potent and Selective Chymase Inhibitor As a New Profibrinolytic Approach for Safe Thrombus Resolution

2024· article· en· W4404351589 on OpenAlexaff
Chantal Fürstner, Jens Ackerstaff, Heinrich Meier, Alexander Straub, Joachim Mittendorf, Jens Schamberger, Martina Schäfer, Kirsten Börngen, Hannah Jörißen, Dmitry Zubov, Katja Zimmermann, Adrian Tersteegen, Volker Geiß, Elke Hartmann, Barbara Albrecht‐Küpper, Pedro D’Orléans-Juste, Catherine Lapointe, Laurence Vincent, Stefan Heitmeier, Hanna Tinel

Bibliographic record

VenueJournal of Medicinal Chemistry · 2024
Typearticle
Languageen
FieldImmunology and Microbiology
TopicMast cells and histamine
Canadian institutionsUniversité de Sherbrooke
FundersBayer
KeywordsChemistryChymasePharmacologyThrombusResolution (logic)BiochemistryInternal medicineMedicineEnzyme

Abstract

fetched live from OpenAlex

High Resolution Image Download MS PowerPoint Slide Chymase is a serine-protease produced by mast cells. In the past few decades, its role in fibrotic diseases triggered the search for orally available chymase inhibitors. Aiming at reducing adverse cardiac remodeling after myocardial infarction, our research efforts resulted in the discovery of fulacimstat (BAY 1142524). While clinical trials did not demonstrate efficacy in this indication, the recent discovery of a new unexpected biological role of chymase spurred a revival of interest in chymase inhibition: chymase was shown to inactivate plasmin within fibrin-rich clots. Chymase inhibitors are now considered as potential profibrinolytic drugs with low bleeding risk and therefore exceptional safety for the treatment of acute thrombosis settings such as stroke, pulmonary embolism, or venous thrombosis. This article describes the chemical optimization journey from a screening hit to the discovery of fulacimstat (BAY 1142524), a selective chymase inhibitor with a good safety profile, as well as its preclinical in vitro and in vivo characterization.

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 score0.025
Threshold uncertainty score0.376

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 head0.258
Teacher spread0.245 · 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

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