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Efficient sampling of SCHEMA chimera families to identify useful sequence elements
Pete Heinzelman1, Philip A Romero, Frances H Arnold
1Department of Chemical, Biological & Materials Engineering, University of Oklahoma, Norman, Oklahoma, USA.
Methods in Enzymology
|February 21, 2013
Summary
SCHEMA structure-guided recombination creates diverse protein chimeras. This method allows accurate prediction of chimera properties, enabling the design of superior protein variants.
Area of Science:
- Protein Engineering
- Computational Biology
- Molecular Biology
Background:
- Structure-guided recombination is a powerful technique for generating protein chimeras.
- Existing methods can produce chimeras with enhanced sequence, functional, and stability properties compared to parent proteins.
Purpose of the Study:
- To describe applications of the "sample, model, and predict" approach for SCHEMA chimera families.
- To outline methods for designing efficient chimera sample sets for model construction.
- To identify useful sequence elements and predict desirable chimera properties.
Main Methods:
- Utilizing SCHEMA structure-guided recombination to create diverse protein chimera families.
- Employing a "sample, model, and predict" strategy to characterize chimera properties.
- Developing predictive models based on data from small chimera sample sets.
Main Results:
- The "sample, model, and predict" approach enables accurate characterization of chimera family members.
- Predictive models can identify key sequence elements contributing to desired protein properties.
- This methodology facilitates the prediction of sequences and properties for optimal chimera design.
Conclusions:
- SCHEMA chimera families are amenable to predictive modeling for protein design.
- Efficient model construction is achievable through strategic design of chimera sample sets.
- This approach allows for the identification and prediction of highly desirable protein variants.
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