A team of researchers has built a new protein sequencing workflow that pairs mirror proteases with deep learning software to read peptide sequences with far greater accuracy than previous methods.

Researchers recently published findings that could lay the groundwork for applying quantum computing methods to protein structure prediction. Researchers from Cleveland Clinic and IBM recently ...

Researchers at Pacific Northwest National Laboratory used artificial intelligence to analyze protein nanoribbons, pointing 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 ...

Protein engineering is a powerful biotechnological process that focuses on creating new enzymes or proteins and improving the functions of existing ones by manipulating their natural macromolecular ...

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, ...

Protein design aims to create customized antibodies for therapies, biosensors for diagnostics, or enzymes for chemical reactions. An international research team has now developed a method for ...

Advanced proteomics and AI reveal blood protein changes, offering insights into early Alzheimer's detection and ...

A new type of blood test that analyses the folding of amino acids rather than their amounts may detect earliest biological ...