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

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 ...

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 ...

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 ...

EvoRank offers a new and tangible example of how AI may help bring disruptive change to biomedical research and biotechnology more broadly. Using the MutRank framework trained with EvoRank, Danny Diaz ...

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 ...

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

Genetic engineering is poised to help biopharma realize the potential benefits of commercial-scale, plant-based protein production, according to a leading researcher. The idea of making therapeutic ...

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