By hijacking endogenous E3 ligase to degrade protein targets via the ubiquitin-proteasome system, PROTACs (PRoteolysis TArgeting Chimeras) provide a new strategy to inhibit protein targets that were regarded as undruggable before. However, the catalytic nature of PROTAC potentially leads to uncontrolled degradation that causes systemic toxicity issues, limiting the application of PROTAC in the clinic. Here, we introduce a light-inducible switch on PROTACs, thereafter termed as opto-PROTAC, to enable the degradation of protein targets in a spatiotemporal manner. By adding a photolabile caging group on pomalidomide as a parental compound and two additional PROTACs, dBET1 and dALK, we demonstrated light-inducible protein degradation. These opto-PROTACs display no activities in the dark, while the restricted degradation can be induced at a specific time and rate by ultraviolet A irradiation. Our approach provides a generalizable platform for the development of light-controlled PROTACs and enables PROTAC to be a precision medicine. Light induces the uncaging of opto-pomalidomide to mediate degradation of Ikaros zinc finger transcription factorsPomalidomide and its derivatives, such as lenalidomide and thalidomide, are widely used as immunomodulatory drugs for treating Light-induced control of protein destruction by opto-PROTAC. Sci. Adv. 6, eaay5154 (2020).

Protein lysine methylation is a crucial post-translational modification that regulates the functions of both histone and non-histone proteins. Deregulation of the enzymes or'writers' of protein lysine methylation, lysine methyltransferases (KMTs), is implicated in the cause of many diseases, including cancer, mental health disorders and developmental disorders. Over the past decade, significant advances have been made in developing drugs to target KMTs that are involved in histone methylation and epigenetic regulation. The first of these inhibitors, tazemetostat, was recently approved for the treatment of epithelioid sarcoma and follicular lymphoma, and several more are in clinical and preclinical evaluation. Beyond chromatin, the many KMTs that regulate protein synthesis and other fundamental biological processes are emerging as promising new targets for drug development to treat diverse diseases.Covalent post-translational modifications (PTMs) of proteins are a major source of molecular functional diversity in mammalian cells, and their aberrant regulation is a ✉

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Neurological disorders significantly outnumber diseases in other therapeutic areas. However, developing drugs for central nervous system (CNS) disorders remains the most challenging area in drug discovery, accompanied with the long timelines and high attrition rates. With the rapid growth of biomedical data enabled by advanced experimental technologies, artificial intelligence (AI) and machine learning (ML) have emerged as an indispensable tool to draw meaningful insights and improve decision making in drug discovery. Thanks to the advancements in AI and ML algorithms, now the AI/ML‐driven solutions have an unprecedented potential to accelerate the process of CNS drug discovery with better success rate. In this review, we comprehensively summarize AI/ML‐powered pharmaceutical discovery efforts and their implementations in the CNS area. After introducing the AI/ML models as well as the conceptualization and data preparation, we outline the applications of AI/ML technologies to several key procedures in drug discovery, including target identification, compound screening, hit/lead generation and optimization, drug response and synergy prediction, de novo drug design, and drug repurposing. We review the current state‐of‐the‐art of AI/ML‐guided CNS drug discovery, focusing on blood–brain barrier permeability prediction and implementation into therapeutic discovery for neurological diseases. Finally, we discuss the major challenges and limitations of current approaches and possible future directions that may provide resolutions to these difficulties.

PRMT3 catalyzes the asymmetric dimethylation of arginine residues of various proteins. It is essential for maturation of ribosomes, may have a role in lipogenesis, and is implicated in several diseases. A potent, selective, and cell- active PRMT3 inhibitor would be a valuable tool for further investigating PRMT3 biology. Here we report the discovery of the first PRMT3 chemical probe, SGC707, by structure-based optimization of the allosteric PRMT3 inhibitors we reported previously, and thorough characterization of this probe in biochemical, biophysical, and cellular assays. SGC707 is a potent PRMT3 inhibitor (IC50 = 31 ± 2 nm, KD = 53 ± 2 nm) with outstanding selectivity (selective against 31 other methyltransferases and more than 250 non-epigenetic targets). The mechanism of action studies and crystal structure of the PRMT3-SGC707 complex confirm the allosteric inhibition mode. Importantly, SGC707 engages PRMT3 and potently inhibits its methyltransferase activity in cells. It is also bioavailable and suitable for animal studies. This well- characterized chemical probe is an excellent tool to further study the role of PRMT3 in health and disease.