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