“Nearly all diseases stem from a molecular mechanism going wrong,” writes Sergei Yakneen, chief technology officer of Alphabet’s Isomorphic Labs in a recent blog post. “Whether it’s an infectious agent disrupting our cellular machinery or a breakdown in processes like DNA repair, identifying the right protein and finding molecules to interact with it is…
Laying the groundwork to tap AlphaFold 3’s potential in drug discovery
Last week, Google DeepMind launched AlphaFold 3, a significant update to its predecessor, AlphaFold 2. The latter has profoundly influenced structural biology and biomedicine in recent years while also attracting some skepticism. While AlphaFold 2 could accurately predict the structures of vast swathes of proteins, AlphaFold 3 ups the ante. It offers higher accuracy and…
Meet AlphaFold 3, which can accurately model more than 99% of molecular types in the Protein Data Bank
Isomorphic Labs and Google DeepMind have unveiled AlphaFold 3, a powerful AI system that draws on a novel diffusion-based architecture to accurately model the structures of complexes containing proteins, nucleic acids, DNA and RNA strands, small molecules, ions and modified residues. Diffusion models are a type of generative model that has won significant popularity in…