More than 2 million researchers worldwide now use AlphaFold, and it has had a significant impact on biology and medical research, but this is just the beginning of AI's potential in science.

AlphaFold 3 represents a significant breakthrough in understanding biomolecular structure, allowing for experimental-level accuracy in predicting protein structures and their interactions with small molecules, DNA, and RNA.

AlphaFold 3 enables drug designers to model not just protein structures but also how these proteins interact with small molecules, enhancing our ability to design effective drugs.

AI could be the best tool ever for accelerating scientific discovery, marking the beginning of a new golden age of discovery powered by AI tools like AlphaFold.

AlphaFold 3 allows our drug designers to see how their molecule designs interact with protein targets instantly, which is a game changer in drug design.

The launch of the AlphaFold server is crucial for providing the scientific community with access to our models, facilitating non-commercial academic research.

AlphaFold 3 is a significant step towards solving the structure prediction problem, but we still aim for 100% accuracy in understanding molecular interactions.

The advancements in AI, such as AlphaFold, are revolutionizing fields like medicine, enabling us to design proteins that can potentially cure diseases like cancer.

The tools we develop become useful when they lower the barrier to adoption, similar to how tools like BLAST and AlphaFold are widely used in biology.