A major goal of cancer biology is to understand the mechanisms driven by somatically acquired mutations. Two distinct methodologies—one analyzing mutation clustering within protein sequences and 3D ...

The 3D structures of proteins give us insight into their function, including key interactions for ligands and drugs 1. Unfortunately, experimental determination of 3D structures is substantially more ...

A study from Cornell researchers could enable a quantum leap forward in identifying and deciphering cancer-driving genetic mutations, the first step in developing effective therapeutics. Cells become ...

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 ...

An advanced algorithm that has been developed by Google DeepMind has gone some way to cracking one of the biggest unsolved mysteries in biology. AlphaFold aims to predict the 3D structures of proteins ...

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 ...

Viruses are tricky to keep up with. They evolve quickly and regularly develop new proteins that help them infect their hosts. These rapid shifts mean that researchers are still trying to understand a ...

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 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 ...

Late-onset Alzheimer's disease (LOAD) is the most common form of dementia, with symptoms appearing after age 65. Since carriers of clusterin risk alleles have an increased likelihood of developing ...