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Machine-Learning-Guided Mutagenesis for Directed Evolution of Fluorescent Proteins
Using Machine Learning to Guide Protein Mutations for Improving Fluorescent Proteins
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Abstract
A proof-of-concept demonstrated 12 proteins with longer wavelengths than the reference yellow fluorescent protein (YFP).
- Combining molecular evolution with machine learning may enhance the efficiency of protein engineering.
- Two rounds of mutagenesis were conducted, using an initial library to train a machine-learning model.
- The approach enables the creation of a focused library enriched with functional proteins for screening.
- Alterations to the reference green fluorescent protein resulted in proteins with changed fluorescence to yellow.
- This method is associated with improved outcomes in the directed evolution of fluorescent proteins.
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