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 ...

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 ...

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 ...

Researchers have created a method called optovolution that uses light to guide the evolution of proteins with dynamic ...

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 ...

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 ...

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 ...

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 ...

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