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 ...

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

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

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 ...

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

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 ...

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

On Wednesday, the Nobel Committee announced that it had awarded the Nobel Prize in chemistry to researchers who pioneered major breakthroughs in computational chemistry. These include two researchers ...

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.

The impact of protein structure prediction reached a new level of recognition with the 2024 Nobel Prize in Chemistry, awarded for pioneering work that expanded on technologies like AlphaFold.