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    LTGO-33 is a state-independent NaV1.8 inhibitor with over 600-fold selectivity for the NaV1.8 channel over other sodium channels. Chronic pain affects millions, and existing treatments offer limited efficacy, risk of abuse, and low tolerability. There is an urgent need for new drugs that target validated pain mechanisms such as NaV1.8, which has recently gained increased attention. This article explores the unique pharmacological properties of LTGO-33, setting it apart from earlier NaV1.8 inhibitors.


    STC15 is Storm Therapeutics' first-in-class and first-to-clinic inhibitor of the post-transcriptional RNA modifier, METTL3, which progressed from HTS hit to clinical development in less than three years. METTL3 inhibitors have been previously identified, but no METTL3 inhibitors have entered clinical development until now. In this article, we explore METTL3 as a therapeutic target, highlight the discovery story of STC15, its fascinating mechanism of action, provide the latest clinical development update, and much more.


    NOTICE: To support planned enhancements and preserve Drug Hunter's scientific independence from advertisers, the "Molecules of the Month" series will soon become a "Members Only" feature. If your institution is not already a member, you can request plan information here. June was notable for several high-profile and structurally related WEE1 inhibitors, including AstraZeneca’s defunct adavosertib [...]


    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 the final installment of this four-part series we bring you the biologics-focused deals 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.