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.

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 ...

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

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 ...

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 ...

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.

The latest short science news items from C&EN. Proteins are vital for life, involved in virtually every biochemical process that makes life possible. They comprise one or more amino acid chains ...

In a recent study published in the journal Nature Methods, a group of researchers developed a novel method called Ribonucleic Acid (RNA) High-Order Folding Prediction Plus (RhoFold+). This deep ...