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Computational design of serine hydrolases

169
Citations
April 18, 2025
Published Date

Research Abstract & Technology Focus

The design of enzymes with complex active sites that mediate multistep reactions remains an outstanding challenge. With serine hydrolases as a model system, we combined the generative capabilities of RFdiffusion with an ensemble generation method for assessing active site preorganization at each step in the reaction to design enzymes starting from minimal active site descriptions. Experimental characterization revealed catalytic efficiencies (
k
cat
/
K
m
) up to 2.2 × 10
5
M
−1
s
−1
and crystal structures that closely match the design models (Cα root mean square deviations
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This literature focuses on: The design of enzymes with complex active sites that mediate multistep reactions remains an outstanding challenge. With serine hydrolases as a model system, we combined the generative capabilities of RFdiffusion with an ensemble generation method ...

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Yes, highly correlated activity was mapped. An entry titled 'Generalized biomolecular modeling and design with RoseTTAFold All-Atom' discusses this: Deep-learning methods have revolutionized protein structure prediction and design but are presently limited to protein-only systems. We describe Ro...

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