Top Ten Most Popular Drug Hunter Resources of 2023
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Quality is Key: Turnkey AI Solution Powered by Robust Big Data
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.
Patent Highlights: NLRP3 and NaV1.8 Inhibitors, SMARCA2 Degraders, and More from December 2023
The Drug Hunter team is piloting a new series highlighting notable disclosures in the patent literature to provide our readers a timely and scientifically flavorful synopsis of therapeutic targets being actively pursued, emerging industry breakthroughs, and fascinating chemical matter. Here we highlight 12 patents published in December 2023 that piqued our interest, and compiled a searchable table comprising key information from more than 180 additional patents of potential interest to drug hunters. If you have any suggestions on how to make this more useful, please let us know!
Drug Hunter 2023 M&A Review: Part 2 – Small Molecule-Focused Deals Countdown
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.
Predicting Blood-Brain Barrier Penetration Using A Physics-Based Approach
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.
MK-0616: The 2023 Molecule of the Year
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.