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 ...

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 ...

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 ...

New method accelerates protein engineering by using structural and evolutionary constraints in inverse folding models without training specialized AI systems. (Nanowerk News) A team of Chinese ...

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 ...

Protein design is crucial for the treatment of human diseases, but traditional protein design methods have some limitations. Site-directed mutagenesis is highly dependent on the physiological ...

Proteins are workhorses that carry out most of the biological functions in our cells. While the genes we inherit from our parents, our so-called genome, are fixed and usually remain unchanged ...

While there are an increasing number of companies leveraging the capabilities of artificial intelligence (AI) in the pharmaceutical industry (Box 1), there are relatively few operations dedicated ...