A protein engineering method using simple, cost-effective experiments and machine learning models can predict which proteins will be effective for a given purpose, according to a new study. A protein ...

Biotech advances from UT’s new Deep Proteins group are changing the game with help from artificial intelligence. Researchers study the three dimensional structures of molecules on a wall-sized video ...

The targeted engineering of artificial proteins with unique properties is now possible with the assistance of a novel method developed by a research team led by Prof. Dr. Dominik Niopek at the ...

From protein translation to mitosis, fundamental cellular processes are multifaceted and dynamic. Researchers seeking to understand the inner workings of a cell benefit from multidisciplinary ...

The disposition of immunoglobulins (IgGs) is influenced by target-dependent and target-independent mechanisms. Target-independent clearance (CLind) of monoclonal antibodies (mAbs) is primarily ...

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 ...

Cradle, the platform that helps scientists to design and program proteins, today published the findings of its first BioDeveloper survey, exploring the methods and priorities of biodevelopers to build ...

Enzymes in laundry detergents, insulin for diabetes, and the antibodies and enzymes used in medicine: all of these exist thanks to protein science and engineering. Protein engineering has transformed ...

Discover strategies to overcome sample preparation challenges in clinical proteomics, optimizing workflows for researchers.

AI protein function prediction uses machine learning models trained on sequence and structural data to infer protein roles at ...