Machine learning-assisted enzyme engineering NE Siedhoff, U Schwaneberg, MD Davari Methods in enzymology 643, 281-315, 2020 | 100 | 2020 |
PyPEF—an integrated framework for data-driven protein engineering NE Siedhoff, AM Illig, U Schwaneberg, MD Davari Journal of Chemical Information and Modeling 61 (7), 3463-3476, 2021 | 28 | 2021 |
A hybrid model combining evolutionary probability and machine learning leverages data-driven protein engineering AM Illig, NE Siedhoff, U Schwaneberg, MD Davari bioRxiv, 2022.06. 07.495081, 2022 | 11 | 2022 |
Expression and Refolding of the Plant Chitinase From Drosera capensis for Applications as a Sustainable and Integrated Pest Management IG Sinelnikov, NE Siedhoff, AM Chulkin, IN Zorov, U Schwaneberg, ... Frontiers in Bioengineering and Biotechnology 9, 728501, 2021 | 9 | 2021 |
Evolution of E. coli Phytase Toward Improved Hydrolysis of Inositol Tetraphosphate KR Herrmann, C Brethauer, NE Siedhoff, I Hofmann, J Eyll, MD Davari, ... Frontiers in Chemical Engineering 4, 838056, 2022 | 7 | 2022 |
Machine learning-assisted engineering of light, oxygen, voltage photoreceptor adduct lifetime S Hemmer, NE Siedhoff, S Werner, G Ölçücü, U Schwaneberg, ... JACS Au 3 (12), 3311-3323, 2023 | 2 | 2023 |
Evolutionary Probability and Stacked Regressions Enable Data-Driven Protein Engineering with Minimized Experimental Effort AM Illig, NE Siedhoff, MD Davari, U Schwaneberg Journal of Chemical Information and Modeling 64 (16), 6350-6360, 2024 | 1 | 2024 |
Data-driven protein engineering: statistical and machine learning approaches to explore protein sequence-fitness landscapes NE Siedhoff, U Schwaneberg, M Fyta Fachgruppe Biologie, 2024 | | 2024 |