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.

With the maturation and application of genetic engineering technology, it is now possible to design, modify, and express proteins as needed, leading to a diverse array of recombinant proteins.

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 ...

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 ...

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 ...

Recent advances in computational protein design have depended mainly on neural networks and machine learning to generate binders. However, the complexity of protein-protein interactions and the ...

Protein engineering is a field primed for artificial intelligence research. Each protein is made up of amino acids; to optimize a protein function, researchers modify proteins by switching out one of ...

The accurate determination of protein concentration is a foundational requirement in molecular biology, proteomics, and clinical diagnostics. Choosing the most appropriate protein quantification ...