| Conditional generative modeling for de novo protein design with hierarchical functions T Kucera, M Togninalli, L Meng-Papaxanthos OUP Bioinformatics, 2022 | 16 | 2022 |
| ProteinShake: Building datasets and benchmarks for deep learning on protein structures T Kucera, C Oliver, D Chen, K Borgwardt Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
| N‐terminal domain of ARF‐GEF GNOM prevents heterodimerization with functionally divergent GNL1 in Arabidopsis S Brumm, MK Singh, C Kriechbaum, S Richter, K Huhn, T Kucera, ... The Plant Journal 112 (3), 772-785, 2022 | 1 | 2022 |
| Multi-modal deep learning improves grain yield prediction in wheat breeding by fusing genomics and phenomics M Togninalli, X Wang, T Kucera, S Shrestha, P Juliana, S Mondal, F Pinto, ... Bioinformatics 39 (6), btad336, 2023 | | 2023 |
| Supporting data for: Multi-modal deep learning improves grain yield prediction in wheat breeding by fusing genomics and phenomics M Togninalli, X Wang, T Kucera, S Shrestha, P Juliana, S Mondal, F Pinto, ... Dryad, 2021 | | 2021 |
