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Sarah Fahlberg
Sarah Fahlberg
Dirección de correo verificada de wisc.edu
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Neural networks to learn protein sequence–function relationships from deep mutational scanning data
S Gelman, SA Fahlberg, P Heinzelman, PA Romero, A Gitter
Proceedings of the National Academy of Sciences 118 (48), e2104878118, 2021
1052021
Machine learning-guided acyl-ACP reductase engineering for improved in vivo fatty alcohol production
JC Greenhalgh, SA Fahlberg, BF Pfleger, PA Romero
Nature communications 12 (1), 5825, 2021
642021
Machine learning to navigate fitness landscapes for protein engineering
CR Freschlin, SA Fahlberg, PA Romero
Current opinion in biotechnology 75, 102713, 2022
542022
Neural network extrapolation to distant regions of the protein fitness landscape
SA Fahlberg, CR Freschlin, P Heinzelman, PA Romero
bioRxiv, 2023
22023
Developing new strategies for protein engineering by extrapolation of machine learning models
S Fahlberg, C Freschlin, P Heinzelman, P Romero
Journal of Biological Chemistry 299 (3), S115, 2023
2023
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