Inside every plant, animal, and human cell are billions of molecular machines. These machines are made up of proteins, DNA, and other molecules, but they do not work in isolation. Understanding the interactions between these molecules, across countless combinations, is crucial to comprehending the processes of life.
In a recent publication in Nature, we present AlphaFold 3, a groundbreaking model that can accurately predict the structure and interactions of all biological molecules. Our model demonstrates at least a 50% improvement in predicting the interactions of proteins with other molecule types compared to existing methods, and in certain categories of interaction, we have doubled the prediction accuracy.
AlphaFold 3 is expected to revolutionize our understanding of biology and drug discovery. Researchers can access most of its features for free through the AlphaFold Server, a user-friendly research tool. Isomorphic Labs is already working with pharmaceutical companies to utilize AlphaFold 3 in real-world drug design challenges, aiming to develop new treatments that can significantly impact patients’ lives.
This new model builds upon the success of AlphaFold 2, which made a significant breakthrough in predicting protein structures in 2020. AlphaFold 2 has been instrumental in various discoveries, such as advancements in malaria vaccines, cancer treatments, and enzyme design. With over 20,000 citations and recognition through prestigious awards like the Breakthrough Prize in Life Sciences, AlphaFold has proven its scientific impact. AlphaFold 3 extends its capabilities beyond proteins to a wide range of biomolecules, opening up possibilities for transformative research in biorenewable materials, crop resilience, drug design, and genomics.
