In this episode, we'll introduce a new publication, DrugCLIP, a high-speed artificial intelligence framework designed to revolutionize drug discovery through genome-wide virtual screening. This innovative method utilizes deep contrastive learning to align protein pockets with potential drug molecules, achieving speeds millions of times faster than traditional computational docking. To enhance accuracy, the researchers developed GenPack, a strategy that refines AlphaFold-predicted protein structures to better identify viable binding sites. The authors successfully validated their model through wet-lab experiments, identifying new inhibitors for challenging targets, such as the TRIP12 enzyme. By screening over 10 trillion protein-ligand pairs, they created an open-access database covering nearly half of the human genome. This resource aims to accelerate the development of treatments for previously undruggable proteins and less-understood diseases. Produced by Dr. Jake Chen.

In this episode, we provide a comprehensive overview of how AI is fundamentally transforming the field of drug delivery. The source material details advancements across numerous therapeutic modalities, including nanoparticles, long-acting injectables (LAIs), nucleic acids (LNPs), PROTACs, and gene therapy vectors (AAVs), emphasizing that AI serves as the "glue" for optimizing complex design spaces and sparse experimental data. The report outlines specific AI methodologies being employed, such as predictive surrogate modeling, hybrid physics+ML (digital twins), and generative design, to tackle bottlenecks like biodistribution and manufacturability. Finally, the text provides concrete examples of recent research papers and a practical blueprint for integrating AI into pharmaceutical research and development programs. Produced by Dr. Jake Chen.

In this episode, we discuss antibody–drug conjugates (ADCs) , which harness monoclonal antibodies to deliver potent cytotoxic drugs directly to tumors, combining specificity with powerful cell‑killing effects. From Paul Ehrlich’s “magic‑bullet” concept to the first clinical trial in the 1980s and today’s 21 approved drugs, the field has evolved through advances in linker chemistry, payload potency, and antibody engineering. Modern ADCs treat diverse cancers by targeting antigens such as HER2, CD33, and TROP‑2 and by using microtubule inhibitors, DNA‑damaging agents, or topoisomerase‑I inhibitors as payloads. The podcast also touches on challenges such as drug resistance and manufacturing complexity, emerging innovations like bispecific and dual‑payload constructs, and the growing role of AI-driven design and industry partnerships in shaping the next generation of ADCs . Produced by Dr. Jake Chen.