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 by ...

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 ...

Engineering proteins is a challenging task requiring the exploration of a vast design space. Traditionally, this is achieved using Directed Evolution (DE), which is a laborious process. Generative ...

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 ...

Controlling protein solubility is critical yet challenging for food and pharmaceutical applications. This review dissects the molecular and environmental determinants governing solubility behavior. It ...

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 ...

Researchers recently published findings that could lay the groundwork for applying quantum computing methods to protein structure prediction. Researchers from Cleveland Clinic and IBM recently ...

Overview of protein engineering strategies. Directed evolution mimics natural selection in the laboratory through iterative rounds of mutagenesis and screening. Rational design uses structural and ...

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 ...

University of Texas at Dallas biomedical engineering doctoral student Medel B. Lim Suan Jr.; Dr. Faruck Morcos, associate professor of biological sciences; and Dr. P.C. Dave Dingal, assistant ...

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 ...