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History
- June 7, 2022.
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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
Author Information
- 1Institute of Biotechnology, RWTH Aachen University, Worringerweg 3, Aachen, 52074, North Rhine-Westphalia, Germany
- 2DWI-Leibniz Institute for Interactive Materials, Forckenbeckstraße 50, Aachen, 52074, North Rhine-Westphalia, Germany
- 3Department of Bioorganic Chemistry, Leibniz Institute of Plant Biochemistry, Weinberg 3, Halle, 06120, Saxony-Anhalt, Germany
- ↵*Corresponding author(s). E-mail(s): mehdi.davari{at}ipb-halle.de;
↵† These authors contributed equally to this work.
Posted June 07, 2022.
A hybrid model combining evolutionary probability and machine learning leverages data-driven protein engineering
