The open-source AI model improves transparency in predicting how proteins interact with other molecules, which could speed up drug discovery.

Efforts to unlock the mysteries of proteins, building blocks of life, have earned three scientists the 2024 Nobel Prize in chemistry. The prize goes to David Baker “for computational protein design,” ...

With a newly developed method that compares AI-generated protein sequences with naturally occurring ones, function- and ...

A team of researchers has developed an innovative method to design complicated all-α proteins, characterized by their non-uniformly arranged α-helices as seen in hemoglobin. Employing their novel ...

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

In the wee hours of an October morning, David Baker, a protein biologist at the University of Washington (UW), received the most-awaited phone call in a scientist’s career. Halfway around the world, ...

Researchers used cryo-EM to study how the HIV enzyme integrase arranges in 3D to slip its DNA into the host genome and pack ...

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 ...

In the rapidly advancing field of computational biology, a newly peer-reviewed review explores the transformative role of deep learning techniques in revolutionizing protein structure prediction. The ...

Genes are the building blocks of life, and the genetic code provides the instructions for the complex processes that make organisms function. But how and why did it come to be the way it is? Subscribe ...