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AI-powered strategy streamlines protein engineering by integrating structural and evolutionary constraints
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 ...
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 ...
Avenue Biosciences technology collects data sets on how specific signal peptides impact specific protein targets.
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 research team engineered a rigid, nanometer-scale protein module to address the challenge of measuring antibody flexibility ...
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 ...
Biotech advances from UT’s new Deep Proteins group are changing the game with help from artificial intelligence. Researchers study the three dimensional structures of molecules on a wall-sized video ...
Proteins are workhorses that carry out most of the biological functions in our cells. While the genes we inherit from our parents, our so-called genome, are fixed and usually remain unchanged ...
Understanding the best ways to get a membrane protein to its destination in a cell is crucial, and the best method to make this happen is still unclear. Cell-free systems allow for interactions ...
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