Kim Fabiano Marquart

Predicting prime editing efficiency and product purity by deep learning

Nicolas Mathis, Ahmed Allam, Lucas Kissling et al. · Nature Biotechnology · 2023 · 129 citations · Full text

Artificial Intelligence, Product Purity, Engineering +5

Predicting base editing outcomes with an attention-based deep learning algorithm trained on high-throughput target library screens

Kim Fabiano Marquart, Ahmed Allam, Sharan Janjuha et al. · Nature Communications · 2021 · 82 citations · Full text

miRNA engineering of CHO cells facilitates production of difficult‐to‐express proteins and increases success in cell line development

Simon Fischer, Kim Fabiano Marquart, Lisa A. Pieper et al. · Biotechnology and Bioengineering · 2017 · 56 citations · Full text

Loss of Rnf31 and Vps4b sensitizes pancreatic cancer to T cell-mediated killing

Nina Frey, Luigi Tortola, David Egli et al. · Nature Communications · 2022 · 55 citations · Full text

Reduced apoptosis in Chinese hamster ovary cells via optimized CRISPR interference

Kai Xiong, Kim Fabiano Marquart, Karen Julie la Cour Karottki et al. · Biotechnology and Bioengineering · 2019 · 53 citations · Full text