University of Missouri researchers have released the world's largest collection of protein models with quality assessment—a ...

Artificial intelligence (AI) is transforming how scientists understand proteins—these are working molecules that drive nearly every process in the human body, from cell growth and immune defense to ...

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 ...

When a protein folds, its string of amino acids wiggles and jiggles through countless conformations before it forms a fully folded, functional protein. This rapid and complex process is hard to ...

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 ...

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 ...

(Nanowerk News) A team of researchers led by Anna-Karin Gustavsson at Rice University has developed an innovative imaging platform that promises to improve our understanding of cellular structures at ...

Researchers from the Göttingen Cluster of Excellence Multiscale Bioimaging (MBExC) have uncovered the 3D structure of the membrane proteins myoferlin and dysferlin using high-resolution cryo-electron ...

New method accelerates protein engineering by using structural and evolutionary constraints in inverse folding models without training specialized AI systems. (Nanowerk News) A team of Chinese ...

A team of Chinese researchers led by Prof. GAO Caixia from the Institute of Genetics and Developmental Biology (IGDB) of the Chinese Academy of Sciences has developed a groundbreaking method that ...