We know the genes, but not their functions—to resolve this long-standing bottleneck in microbial research, a joint research team has proposed a cutting-edge research strategy that leverages artificial ...

Recent advances in computational biology have revolutionised the field of protein structure and function prediction. Traditionally, determining the three‐dimensional architecture of a protein from its ...

Jia’s team developed a protocol to improve the screening of protein pockets. This involved identifying the pockets, removing ...

AlphaFold arrived as a technical moonshot that suddenly made protein structures feel like software rather than secrets of nature, and five years on it has rewired how laboratories plan experiments, ...

In 2020, news headlines repeated John Moult’s words at the end of a stunning competition: Artificial intelligence had “solved” a long-standing grand challenge in biology, protein structure prediction.

We know the genes, but not their functions." To resolve this long-standing bottleneck in microbial research, a joint research team has proposed a ...

John Jumper (S.M. ’12, Ph.D. ’17) was awarded the Nobel Prize in Chemistry in 2024 for his contributions to the development of AlphaFold, an AI model that revolutionized protein structure prediction.

Scientists have used deep learning to design new proteins that bind to complexes involving other small molecules like hormones or drugs, opening up a world of possibilities in the computational design ...

Researchers create Disobind, an AI tool predicting protein interactions, advancing disease biology and drug design applications.

Artificial intelligence (AI) is reshaping the scientific landscape, offering fantastic solutions to some of the most pressing global challenges. From combating climate change to transforming ...

Google DeepMind’s work with AlphaFold has been nothing short of a miracle, but it is computationally expensive. With that in mind, Apple researchers set off to develop an alternative method to use AI ...