| Engineered anti-CRISPR proteins for optogenetic control of CRISPR–Cas9 F Bubeck, MD Hoffmann, Z Harteveld, S Aschenbrenner, A Bietz, ... Nature methods 15 (11), 924-927, 2018 | 196 | 2018 |
| De novo design of protein interactions with learned surface fingerprints P Gainza, S Wehrle, A Van Hall-Beauvais, A Marchand, A Scheck, ... Nature 617 (7959), 176-184, 2023 | 73 | 2023 |
| Optogenetic control of Neisseria meningitidis Cas9 genome editing using an engineered, light-switchable anti-CRISPR protein MD Hoffmann, J Mathony, J Upmeier zu Belzen, Z Harteveld, ... Nucleic acids research 49 (5), e29-e29, 2021 | 32 | 2021 |
| Computational design of anti-CRISPR proteins with improved inhibition potency J Mathony, Z Harteveld, C Schmelas, J Upmeier zu Belzen, ... Nature chemical biology 16 (7), 725-730, 2020 | 21 | 2020 |
| Whole-genome doubling drives oncogenic loss of chromatin segregation RA Lambuta, L Nanni, Y Liu, J Diaz-Miyar, A Iyer, D Tavernari, ... Nature 615 (7954), 925-933, 2023 | 18 | 2023 |
| rstoolbox-a Python library for large-scale analysis of computational protein design data and structural bioinformatics J Bonet, Z Harteveld, F Sesterhenn, A Scheck, BE Correia BMC bioinformatics 20, 1-13, 2019 | 13 | 2019 |
| A generic framework for hierarchical de novo protein design Z Harteveld, J Bonet, S Rosset, C Yang, F Sesterhenn, BE Correia Proceedings of the National Academy of Sciences 119 (43), e2206111119, 2022 | 10 | 2022 |
| De novo design of site-specific protein interactions with learned surface fingerprints P Gainza, S Wehrle, A Van Hall-Beauvais, A Marchand, A Scheck, ... bioRxiv, 2022.06. 16.496402, 2022 | 6 | 2022 |
| Deep sharpening of topological features for de novo protein design Z Harteveld, J Southern, M Defferrard, A Loukas, P Vandergheynst, ... ICLR2022 Machine Learning for Drug Discovery, 2022 | 6 | 2022 |
| A Rosetta-based protein design protocol converging to natural sequences G Sormani, Z Harteveld, S Rosset, B Correia, A Laio The Journal of Chemical Physics 154 (7), 2021 | 6 | 2021 |
| Exploring" dark matter" protein folds using deep learning Z Harteveld, A Van Hall-Beauvais, I Morozova, J Southern, CA Goverde, ... bioRxiv, 2023.08. 30.555621, 2023 | 3 | 2023 |
| rstoolbox: management and analysis of computationally designed structural ensembles J Bonet, Z Harteveld, F Sesterhenn, A Scheck, BE Correia bioRxiv, 428045, 2018 | 1 | 2018 |
| Systems and methods for de novo design of protein interactions with learned surface fingerprints PG Cirauqui, S Wehrle, A Van Hall-Beauvais, A Marchand, A Scheck, ... US Patent App. 18/206,873, 2023 | | 2023 |
| Machine Learning in Protein Science De Novo Design of Site-Specific Protein Binders Using Surface Fingerprints V Hall-Beauvais, P Gainza, S Wehrle, A Scheck, A Marchand, Z Harteveld, ... Protein Science 32, 2023 | | 2023 |
| De novo design of site-specific protein interactions with learned surface fingerprints (preprint) P Gainza, S Wehrle, A Van Hall-Beauvais, A Marchand, A Scheck, ... | | 2022 |
| Towards automating de novo protein design for novel functionalities: controlling protein folds and protein-protein interactions Z Harteveld EPFL, 2022 | | 2022 |
| De Novo Design of Site-specific Protein Binders Using Surface Fingerprints S Wehrle, V Hall-Beauvais, P Gainza, Z Harteveld, A Scheck, F Sverrisson, ... Protein Science 30, 162-163, 2021 | | 2021 |
| Engineered Anti-CRISPR Proteins for Precision Control of CRISPR-Cas9 F Bubeck, MD Hoffmann, Z Harteveld, S Aschenbrenner, A Bietz, ... Molecular Therapy 27 (4), 297-297, 2019 | | 2019 |
| LPDI J Bonet Martinez, SM Buckley, KM Castro Gilabert, RM Chassot, ... | | |
Bruno CorreiaEcole Polytechnique Federale de LausanneVerified email at epfl.ch
