Curcumin: A Powerfully Active Ingredient Known to Scientists

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.

or, How I Learned to Stop Worrying and Love My Own Definition. Recently I posted on “biologic drugs” which were approved in 2019 . All was well in my little scientific universe, until I received this in an email: “You recently reported "14 novel biologic drugs," referring to 'novel' biopharmaceuticals approved CDER. But, … You also include [...]

The impact of small and mid-sized biotech companies has become increasingly important. The shift from large pharma dominance to a biotech-driven era of drug discovery presents challenges to the traditional model of education for emerging medicinal chemists. Industry leader Dean Brown recently highlighted challenges for modern medicinal chemists starting in biotech who face fewer mentoring opportunities and are often propelled into leadership positions sooner than their counterparts in big pharma. Here we share how our team of former industry scientists at Drug Hunter can help.

The team reviews hundreds of compounds from thousands of papers, press releases, and other sources each month to select candidates for Molecules of the Month. Here we have compiled a table of >60 additional molecules that were of interest in December 2023 along with highlights from some of the team’s favorites in the article.

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.