Proteins play a key role in the life sciences - from basic research and biotechnological applications to the development and manufacturing of pharmaceuticals. Scientists at the Technical University of ...

Protein language models are artificial intelligence tools which help engineer proteins with useful properties, including ...

In a study published in Nature Methods, a research group developed a highly sensitive proteomics method called peptide-centric local stability assay (PELSA), which enables the simultaneous ...

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 ...

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 ...

An innovative machine learning approach has been shown to rapidly predict multiple protein configurations. A new paper presents the method that predicts the relative populations of protein ...

UT researchers have developed the first viable alternative to a 75-year-old method for sequencing proteins. Image of amino acids, the building blocks of proteins. Scientists at The University of Texas ...

Proteins are made of chains of amino acids, and a basic tenet of biology is that the sequence of amino acids determines how a protein folds into a 3D shape which, in turn, dictates the protein’s ...

The team has further developed the method of chromatography. For this purpose, they have developed a light-sensitive molecular appendix that serves as an anchor for the target protein. It binds the ...

This fully updated volume explores a wide array of new and state-of-the-art tools and resources for protein function prediction. Beginning with in-depth overviews of essential underlying computational ...