Ancestral Sequence Reconstruction and Alternate Amino Acid States Guide Protein Library Design for Directed Evolution.

James VanAntwerp^1,2, Patrick Finneran³, Benedikt Dolgikh^1,2, Daniel Woldring^4,5

¹Department of Chemical Engineering and Materials Science, Michigan State University, East Lansing, MI, USA.

²Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, MI, USA.

³Menten AI, Palo Alto, CA, USA.

⁴Department of Chemical Engineering and Materials Science, Michigan State University, East Lansing, MI, USA. woldring@egr.msu.edu.

⁵Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, MI, USA. woldring@egr.msu.edu.

PubMed DOI

Abstract

Engineered proteins possess nearly limitless possibilities in medical and industrial applications but finding a precise amino acid sequence for these applications is challenging. A robust approach for discovering protein sequences with a desired functionality uses a library design method in which combinations of mutations are applied to a robust starting point. Determining useful mutations can be…

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