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

This review provides an overview of traditional and modern methods for protein structure prediction and their characteristics and introduces the groundbreaking network features of the AlphaFold family ...

WEST LAFAYETTE, Ind. – Proteins are often called the working molecules of the human body. A typical body has more than 20,000 different types of proteins, each of which are involved in many functions ...

They build our bodies and orchestrate the molecular processes in cells that keep them healthy. They also present a wealth of targets for new medications. From everyday pain relievers to sophisticated ...

Illustration showing how integrating protein three-dimensional structures with artificial intelligence algorithms can predict synergistic or antagonistic effects of drug combinations, guiding safer ...

Google DeepMind's groundbreaking new AI predicts not only the structure of proteins, ligands, DNA, RNA and "all of life's molecules," but how they'll interact. It promises a radical, revolutionary ...

Proteins need to fold into specific shapes to perform their functions in cells, but they occasionally misfold, which can ...

A team of researchers has developed a method that could transform the field of protein engineering. The new approach, called AI-informed Constraints for protein Engineering (AiCE), enables rapid and ...

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.

David Baker, Demis Hassabis and John Jumper shared the Nobel prize in chemistry for work that revolutionized our understanding of protein structure. When you purchase through links on our site, we may ...