AlphaFold arrived as a technical moonshot that suddenly made protein structures feel like software rather than secrets of ...

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 ...

In a new study published in GEN’s sister peer-review journal, GEN Biotechnology, titled, “Exploring Structure-Function Relationships in Engineered Receptor Performance Using Computational Structure ...

AlphaFold didn't accelerate biology by running faster experiments. It changed the engineering assumptions behind protein ...

A newly developed generative AI model is helping researchers explore protein dynamics with increased speed. The deep learning system, called BioEmu, predicts the full range of conformations a protein ...

Northwestern University researchers have identified structural features in engineered cell receptors that correlate with ...

Physical interactions between proteins influence anything from cell signaling and growth to immune responses, so the ability to control these interactions is of great interest to biologists.

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.

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 ...

(Nanowerk News) The new AI-powered workflow helps scientists identify which plant genes control the best microbial partnerships. This accelerates the engineering of microbiomes that help plants grow ...