A new LMU study shows how proteins function reliably even without a stable 3D structure – and the crucial importance not only of short sequence motifs, but also of the chemical characteristics.

A new LMU study shows how proteins function reliably even without a stable 3D structure—and the crucial importance not only of short sequence motifs, but also of chemical characteristics. Many ...

(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 ...

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 ...

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 ...

Explore advances in protein imaging techniques and spatial proteomics. Learn how modern imaging tools reveal protein dynamics and organization in cells.

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 ...

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 ...