Late-Stage Deuteration and Tritiation through Bioinspired Cooperative Hydrogenolysis

Academic Background Hydrogenolysis, a fundamental chemical reaction that breaks chemical bonds through the addition of molecular hydrogen, is widely used in the upgrading of biomass, petroleum, and other feedstocks into high-value chemicals and fuels. Additionally, hydrogenolysis plays a crucial role in the pharmaceutical and fine chemical industri...

Targeting ADAR1 with a Small Molecule for the Treatment of Prostate Cancer

Academic Background Prostate cancer (PCA) is one of the most common malignancies in men, particularly in Western countries, where it is the second leading cause of cancer-related deaths among males. Although androgen signaling therapy is effective in the initial treatment of prostate cancer, most patients eventually relapse, and there is currently ...

Molecular Mechanism of the Arrestin-Biased Agonism of Neurotensin Receptor 1 by an Intracellular Allosteric Modulator

Academic Background G protein-coupled receptors (GPCRs) are the most abundant family of cell surface receptors in the human body and are also the most common targets of FDA-approved drugs. GPCRs play a crucial role in the treatment of various diseases, including pain, diabetes, cardiovascular diseases, and cancer. However, drug development targetin...

GutBugDB: A Web Resource to Predict the Human Gut Microbiome-Mediated Biotransformation of Biotic and Xenobiotic Molecules

In recent years, the significant role of the human gut microbiota (HGM) in the metabolism of drugs and nutrients has gradually been recognized. The gut microbiota not only affects the bioavailability of orally administered drugs but also participates in the biotransformation of drugs and bioactive molecules through its metabolic enzymes, thereby in...

SP-DTI: Subpocket-Informed Transformer for Drug–Target Interaction Prediction

Academic Background Drug-Target Interaction (DTI) prediction is a critical step in drug discovery, significantly reducing the cost and time of experimental screening. However, despite the advancements in deep learning that have improved the accuracy of DTI prediction, existing methods still face two major challenges: lack of generalizability and ne...