How Recent Drug Pricing Laws Impact Drug Discovery (H.R. 5376)

Gleevec (imatinib) was the first tyrosine kinase inhibitor approved for the treatment of cancer and one of the first products to emerge from "rational drug design."  It's invention changed chronic myeloid leukemia from an incurable death sentence to a manageable disease. Here's a look back on the tremendous value it's created over the last [...]

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.

The highly anticipated First Time Disclosures session at the ACS Spring 2024 Meeting in New Orleans, organized by Nicole Goodwin and H. Rachel Lagiakos, presented a variety of new orally available small molecules. In case you missed any of these exciting molecules, from Oric’s CD73 inhibitor to Deciphera’s first-in-class ULK1/2 inhibitor, this article provides the structures and targets for the novel molecules disclosed at the session.

The final set of Molecules of the Month for 2023 is out, and now it’s time to nominate your favorite molecules for 2023’s Molecules of the Year! Nominees should have either been first disclosed in 2023 or had a major new update in 2023 (e.g. clinical trial readout, publication, business transaction, approval). The molecule must have a [...]

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.