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 ...

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 ...

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 ...

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 ...

The 2024 Nobel Prize in Chemistry goes to researchers who cracked the code for proteins’ structures, the Royal Swedish Academy of Sciences announced today (Oct 9). David Baker, a biochemist at the ...

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, ...

Machine learning (ML) is transforming protein structure prediction. Algorithms can predict 3D structures from amino acid ...

Google DeepMind’s work with AlphaFold has been nothing short of a miracle, but it is computationally expensive. With that in mind, Apple researchers set off to develop an alternative method to use AI ...

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.

(L) Senior co-corresponding author M. Madan Babu, PhD, FRS, St. Jude Senior Vice President of Data Science, Chief Data Scientist, Center of Excellence for Data-Driven Discovery director and Department ...

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 ...