Nucleotides are the fundamental units of DNA, and when linked together by a sugar-phosphate backbone, they form the strands that define our genome. Analysing the precise role of each nucleotide within these sequences is essential to understanding their influence on gene regulation and disease. However, the human genome contains around 3 billion nucleotides in a… Read more »
By Alex Graves The story of Bayesian Flow Networks (BFNs) took years to take shape. In 2010, I was working with autoregressive models and repeatedly ran into the same constraint: their fixed prediction order, in which a single variable is completely revealed at every step. This rigid structure felt unnatural compared to how we typically… Read more »
As AI continues to reshape our understanding of the biological landscape, DNA, RNA, and protein sequence models are rapidly emerging—each promising to be faster, more capable, and more accurate than the last. While genomic data is being generated at an astonishing pace, making sense of it remains a challenge. A key barrier is usability. Most… Read more »
Understanding molecular behaviour allows researchers to predict the physical and chemical properties of complex systems1, such as how a protein folds or how a drug binds to its target. These insights are critical across biology, chemistry, and materials science2, especially when experiments are costly, time-consuming, or difficult to scale. Yet molecular science has long grappled… Read more »