Synthetic Access to Stable Atropisomers in Drug Discovery via Catalysis

Peptidic GLP-1R agonists have received significant media coverage over the past year for their astounding efficacy in several indications. While most of the recent fanfare has been related to their role in weight loss, GLP-1R agonists have been a mainstay of the type 2 diabetes treatment landscape for the past 2 decades. GLP-1R agonists have also recently shown efficacy in reducing heart disease risk and treating certain chronic kidney diseases. Here’s a recap of the March 14th, 2024, Flash Talk, from Oliver Philps.

Among the small molecule highlights in January’s news were a $100M+ Series A for a PARP1 + PI3Kα-focused company, clinical data with an SLC inhibitor for PKU, a 5-HT2C superagonist for seizures, and a NK1,3 dual antagonist for women’s health. A novel anti-obesity agent from phenotypic screening also made headlines, and the close of a major acquisition may bring relief to the industry. You can read about these notable scientific highlights and more below.

Genentech’s GDC-6599 is the first oral TRP Ankyrin 1 (TRPA1) antagonist to reach Ph. IIa (NCT05660850) for chronic cough after preclinical studies and a Ph. I trial showed it was well-tolerated, in contrast to prior molecules. The transient receptor potential (TRP) family of ion channels has been the subject of intensive drug discovery efforts due to their critical role in the development and progression of pain, itch, and respiratory conditions.

Drug Hunter has sifted through news articles, press releases, financial disclosures, SEC filings, and more to bring you a roundup of 2023’s biggest mergers and acquisitions (M&A) in the drug discovery world. Following our open-access industry overview, in part 2 of this 4-part series we bring you the small molecule-focused deals, ranked 11-20 by value. Covering a range of targets and modalities, this article gives Drug Hunter members in-depth background and analysis of the hottest science opening checkbooks in 2023.

One of the key challenges in CNS projects is achieving sufficient unbound brain exposure to engage the target. To predict CNS exposure, scientists employ metrics like CNS MPO scores from Pfizer and Merck, Bayesian models, and methods for balancing physicochemical properties. However, these in silico metrics often fail to correlate well with experimental data. Schrödinger's team has discovered the energy of solvation (E-sol) metric, which accurately predicts Kp,uu and has been validated with CNS-penetrant DLK inhibitors. Explore more in this detailed Drug Hunter article.