The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 possible variants-more combinations than atoms in the observable universe.

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 ...

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

The team, from biopharmaceutical company Regeneron, hopes their work will help researchers better understand protein-protein interactions during preclinical development of a drug. “Essentially, we ...

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 ...

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 ...

Their overview highlights innovative methods based on B-factor analysis, ancestral sequence reconstruction (ASR), and machine learning (ML), providing tools to design enzymes that withstand high ...

EPFL researchers have developed a light-based method that can produce proteins that switch states, respond to signals, and even compute, using light and the cell cycle.

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 ...