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Mutant Proteins

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Automated Planning Enables Complex Protocols on Liquid-Handling Robots.

ACS synthetic biology
Robotic automation in synthetic biology is especially relevant for liquid handling to facilitate complex experiments. However, research tasks that are not highly standardized are still rarely automated in practice. Two main reasons for this are the s...

Mechanism of glucocerebrosidase activation and dysfunction in Gaucher disease unraveled by molecular dynamics and deep learning.

Proceedings of the National Academy of Sciences of the United States of America
The lysosomal enzyme glucocerebrosidase-1 (GCase) catalyzes the cleavage of a major glycolipid glucosylceramide into glucose and ceramide. The absence of fully functional GCase leads to the accumulation of its lipid substrates in lysosomes, causing G...

Predicting pathogenic protein variants.

Science (New York, N.Y.)
Machine-learning algorithm uses structure prediction to spot disease-causing mutations.