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protein binders, investigate the effects of mutations on protein structure and function, and apply protein representation learning to uncover hidden links in the dark proteome. At the SIB Swiss Institute
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protein binders, investigate the effects of mutations on protein structure and function, and apply protein representation learning to uncover hidden links in the dark proteome. At the SIB Swiss Institute
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predict protein-protein complementarity, design artificial protein binders, investigate the effects of mutations on protein structure and function, and apply protein representation learning to uncover
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of embryonic or adult somatic structures, while retaining a largely undifferentiated status themselves. Although adapted to tissue context, a recurrent feature of stem cells is the expression of pluripotency