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Elucidating structure-performance relationships in whole-cell cooperative enzyme catalysis
Mason R Smith1, Hui Gao1,2, Ponnandy Prabhu1
1Department of Chemical Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States.
Engineered multi-enzyme assemblies show improved cellulose hydrolysis when enzyme density is maximized on yeast cell surfaces. This study provides a quantitative method to advance biocatalyst design beyond trial and error.
Area of Science:
- Biocatalysis and Enzyme Engineering
- Synthetic Biology
- Cell Surface Display Technology
Background:
- Nature utilizes cooperative enzyme catalysis, inspiring engineered multi-enzyme assemblies for industrial biocatalysis.
- Current cell-surface displayed multi-enzyme assembly efforts rely on trial-and-error due to a lack of quantitative tools.
Purpose of the Study:
- To develop a quantitative approach for whole-cell biocatalyst characterization.
- To comprehensively study the formation of yeast-surface displayed multi-enzyme assemblies.
- To identify key parameters for enhancing biocatalytic performance.
Main Methods:
- Development of a quantitative whole-cell biocatalyst characterization method.
- Analysis of multi-enzyme assembly formation on the yeast cell surface.
- Investigation of molecular crowding and enzyme density effects.
Main Results:
- Multi-enzyme assembly efficiency is limited by molecular crowding on the yeast cell surface.
- Maximizing enzyme density is crucial for enhancing cellulose hydrolytic performance.
- Synergistic proximity effects occur only when inter-enzyme distance exceeds approximately 130 nm.
Conclusions:
- The developed quantitative approach enables rational design of biocatalysts.
- Understanding molecular crowding and enzyme density is key for optimizing multi-enzyme assemblies.
- This work transitions biocatalyst engineering from empirical methods to rational design.
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