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A team of researchers at Ecole Polytechnique Federale de Lausanne have used deep learning to design synthetic soluble versions of cell membrane proteins commonly used in pharmaceutical research. This allows for easier access and study of these proteins, potentially leading to more efficient drug and antibody discovery pathways. The team’s research has been published in the journal Nature.
