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 ...

Researchers have created a method called optovolution that uses light to guide the evolution of proteins with dynamic behaviors. By engineering yeast cells so their survival depended on 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 ...

The world of protein engineering just took a giant leap forward. A team in China has developed a method that makes designing better proteins faster, cheaper, and easier. Led by Professor Gao Caixia ...

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 ...

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

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 ...

Plant cell-based bioproduction systems are known for producing proteins with proper folding and post-translational modifications that have been used in a handful of approved therapeutics. Widespread ...

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 ...

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