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 ...

Enzymes called proteases act like molecular scissors for proteins in the body and play a role in therapies to stop viruses from replicating and to kill cancer cells. The development of these medicines ...

Stanford researchers have developed Microbe-Independent Deep Assembly and Screening – MIDAS – a polymerase chain ...

The speed at which a cell produces proteins is a decisive factor in determining whether it divides, specializes or retains ...

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 ...

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 ...

A team of Chinese researchers led by Prof. GAO Caixia from the Institute of Genetics and Developmental Biology (IGDB) of the Chinese Academy of Sciences has developed a groundbreaking method that ...

Even with significant expansion in the global market for antibodies used in clinical care and research, scientists recognize that there is still untapped potential for finding new antibodies. Many ...

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 ...