| Rosetta design with co-evolutionary information retains protein function S Schmitz, M Ertelt, R Merkl, J Meiler PLOS Computational Biology 17 (1), e1008568, 2021 | 18 | 2021 |
| Adeno‐associated virus serotype 2 capsid variants for improved liver‐directed gene therapy N Meumann, M Cabanes‐Creus, M Ertelt, RG Navarro, J Lucifora, Q Yuan, ... Hepatology, 2022 | 16 | 2022 |
| Combining machine learning with structure-based protein design to predict and engineer post-translational modifications of proteins M Ertelt, VK Mulligan, JB Maguire, S Lyskov, R Moretti, T Schiffner, ... PLOS Computational Biology 20 (3), e1011939, 2024 | 13 | 2024 |
| Modifying immune responses to adeno-associated virus vectors by capsid engineering M Bentler, R Hardet, M Ertelt, D Rudolf, D Kaniowska, A Schneider, ... Molecular Therapy-Methods & Clinical Development 30, 576-592, 2023 | 10 | 2023 |
| Combining Rosetta Sequence Design with Protein Language Model Predictions Using Evolutionary Scale Modeling (ESM) as Restraint M Ertelt, J Meiler, CT Schoeder ACS Synthetic Biology 13 (4), 1085-1092, 2024 | 5 | 2024 |
| Self-supervised machine learning methods for protein design improve sampling but not the identification of high-fitness variants M Ertelt, R Moretti, J Meiler, CT Schoeder Science Advances 11 (7), eadr7338, 2025 | 1 | 2025 |
| Integrating binding affinity and tonic signaling enables a rational CAR design for augmented T cell function M Barden, PR Elsenbroich, V Haas, M Ertelt, P Pervan, L Velas, B Gergely, ... Journal for ImmunoTherapy of Cancer 12 (12), e010208, 2024 | | 2024 |
| HyperMPNN‒A general strategy to design thermostable proteins learned from hyperthermophiles M Ertelt, P Schlegel, M Beining, L Kaysser, J Meiler, CT Schoeder bioRxiv, 2024.11. 26.625397, 2024 | | 2024 |
