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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 ...
Scripps Research scientists discovered that some sections of the hormone-carrying molecule transthyretin (left) are in constant motion (right), which may explain why the protein can misfold and ...
It has long been thought that protein function and stability are highly sensitive to changes in the composition of the internal structures, or protein cores. However, a large-scale experiment probing ...
A newly developed generative AI model is helping researchers explore protein dynamics with increased speed. The deep learning system, called BioEmu, predicts the full range of conformations a protein ...
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