The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...
By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...
A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...
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MULTI-evolve accelerates protein engineering with machine learning
The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 possible variants-more combinations than atoms in the observable universe.
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