What Drug Hunters Wish They’d Known When Starting Out

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. In this 4-part series we will give you an open-access overview of the M&A landscape, and then for Drug Hunter members in the coming weeks, we will be providing in-depth coverage and analysis of the small molecule-focused (parts 2 & 3) and biologics-based deals (part 4). This premium content includes background on the targets, chemical/biological matter and clinical data driving these deals.

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.

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.

Imagine having access to an almost infinite amount of chemical space that could include the next blockbuster medicine waiting to be discovered. The challenge for medicinal chemists is balancing the exploration of this vast space in early drug discovery with the need for focused exploration in later stages. This article explores the genesis of a new AI-powered drug design tool, AIDDISON™ from MilliporeSigma, and how this platform can benefit discovery teams around the world.

We asked the global drug discovery community to nominate and vote on their favorite molecule from 2023, and the results are in. The 2023 winner, with the most votes between ten molecules, is Merck’s oral macrocyclic peptide inhibitor of PCSK9, MK-0616, derived from mRNA display technology and shown to have clinical efficacy. Herein, we highlight what makes MK-0616 so impressive to the drug discovery community.