According to The Rundown AI on X, Isomorphic Labs’ drug-design system more than doubled AlphaFold 3 performance on the hardest protein-ligand cases, signaling major gains in structure-based drug discovery; the post also notes Demis Hassabis previously won the Nobel Prize for AlphaFold and quoted his 2025 remark, “One day maybe we can cure all disease with the help of AI.” As reported by The Rundown AI, this leap suggests faster hit identification, improved binding predictions, and shorter lead optimization cycles for pharma pipelines. According to the cited post, the results highlight commercial opportunities in licensing AI-native discovery platforms, partnering with big pharma for target classes with sparse data, and deploying active learning loops to cut wet-lab iteration costs.

According to @demishassabis, who shared Fortune’s cover story interview by @agarfinks, Demis Hassabis outlines DeepMind’s roadmap across frontier models, scientific AI, and healthcare. As reported by Fortune, Google DeepMind is scaling multimodal foundation models while integrating them with Alphabet’s product stack to drive monetization in Search, Cloud, and Android. According to Fortune, DeepMind’s Isomorphic Labs is advancing AI-first drug discovery by combining protein structure prediction and generative design to shorten preclinical cycles and improve hit rates with pharma partners. As reported by Fortune, the strategy emphasizes safety research, evaluation benchmarks, and controlled deployment to enterprise customers via Google Cloud. According to Fortune, commercial opportunities highlighted include AI copilots for knowledge work, bioinformatics services for pharma R&D, and custom model hosting for regulated industries, with a focus on reliability and cost efficiency.

According to Google DeepMind, in celebration of five years since the launch of AlphaFold, the company has released 'The Thinking Game' documentary on YouTube, providing a detailed look into the AI-driven advancements that solved a 50-year-old protein folding challenge in biology (source: @GoogleDeepMind). This documentary highlights the practical implications of AlphaFold’s success, showcasing how AI technologies are transforming scientific research, accelerating drug discovery, and creating significant business opportunities for biotech firms leveraging machine learning in structural biology.