In an effort to reveal the inner workings of a protein that serves as a cell's damage detection system, scientists at Johns Hopkins and the Ludwig-Maximilians-University Munich (LMU) have published ...

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 ...

A University of Missouri researcher has created a computer program that can unravel the mysteries of how proteins work together—giving scientists valuable insights to better prevent, diagnose and ...

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 ...

Periodontal (gum) disease is one of the most prevalent diseases worldwide, caused by the bacterium Porphyromonas gingivalis ...

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 ...

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 ...