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 ...

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 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 ...

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

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 ...

Enzymes in laundry detergents, insulin for diabetes, and the antibodies and enzymes used in medicine: all of these exist thanks to protein science and engineering. Protein engineering has transformed ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 possible variants-more combinations than atoms in the observable universe.

De novo gene synthesis and protein expression are established technologies that can give access to nearly any target DNA or protein sequence, allowing for engineering of biologics. In this ...

Discover strategies to overcome sample preparation challenges in clinical proteomics, optimizing workflows for researchers.