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DaVinci-Switches aims to enhance the engineering of switchable proteins by integrating synthetic biology with machine learning. The project focuses on creating proteins that can be controlled by light or chemicals, with applications in regenerative medicine and cellular reprogramming.
Proteins are molecular machines that drive all major functions in cells.
Controlling the activity of proteins in real time via light or chemicals is a central goal in synthetic biology.
The design of switchable proteins, in particular single-chain, allosteric variants, however, is a challenging engineering problem thus-far mostly addressed by trial-and-error.
DaVinci-Switches takes a radically new, data-driven perspective to fundamentally advance our understanding of protein allostery and accele…
RUPRECHT-KARLS-UNIVERSITAET HEIDELBERG
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