Protein scientists could improve reproducibility and coordination across the field by adopting a small, shared set of “model ...

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 ...

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 ...

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 ...

This fully updated volume explores a wide array of new and state-of-the-art tools and resources for protein function prediction. Beginning with in-depth overviews of essential underlying computational ...

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 ...

Misfolded proteins can appear as small aggregates, soluble monomers, or large insoluble inclusion bodies. While the fundamental biophysical mechanisms that cause cytotoxicity are not fully understood, ...

Understanding the best ways to get a membrane protein to its destination in a cell is crucial, and the best method to make this happen is still unclear. Cell-free systems allow for interactions ...