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AI-Orchestrated Biodesign Enters Mammalian Systems The field of synthetic biology has long relied on iterative design cycles—design, build, test, learn—to engineer biological systems. Now, researchers are exploring how AI can orchestrate this entire pipeline, particularly for mammalian cells, which are central to pharmaceutical development and advanced therapies. A

Understanding how drug molecules interact with proteins is fundamental to developing effective medications. A new AI approach, detailed in research published in Nature, aims to decode these complex protein-ligand binding mechanisms more efficiently than traditional methods. Protein-ligand binding refers to the process where small molecules (ligands, such as drug compounds)