| The EVcouplings Python framework for coevolutionary sequence analysis TA Hopf, AG Green, B Schubert, S Mersmann, CPI Schärfe, JB Ingraham, ... Bioinformatics 35 (9), 1582-1584, 2019 | 237 | 2019 |
| HistoneDB 2.0: a histone database with variants—an integrated resource to explore histones and their variants EJ Draizen, AK Shaytan, L Mariño-Ramírez, PB Talbert, D Landsman, ... Database: The Journal of Biological Databases and Curation 2016, baw014, 2016 | 158 | 2016 |
| Harnessing big data for systems pharmacology L Xie, EJ Draizen, PE Bourne Annual review of pharmacology and toxicology 57 (1), 245-262, 2017 | 66 | 2017 |
| An editor for the generation and customization of geometry restraints NW Moriarty, EJ Draizen, PD Adams Acta Crystallographica Section D 73 (2), 123-130, 2017 | 37 | 2017 |
| Structural biology meets data science: does anything change? C Mura, EJ Draizen, PE Bourne Current opinion in structural biology 52, 95-102, 2018 | 12 | 2018 |
| Nurturing tomorrow’s leaders: The iscb student council symposia in 2018 D Parisi, GJ Olguín-Orellana, EJ Draizen, NDR Coimbra, ... F1000Research 8, 2019 | 8 | 2019 |
| The curse of the protein ribbon diagram PE Bourne, EJ Draizen, C Mura PLoS Biology 20 (12), e3001901, 2022 | 6 | 2022 |
| Deep Learning of Protein Structural Classes: Any Evidence for an ‘Urfold’? M Jaiswal, S Saleem, Y Kweon, EJ Draizen, S Veretnik, C Mura, ... 2020 Systems and Information Engineering Design Symposium (SIEDS), 1-6, 2020 | 5 | 2020 |
| Machine learning for classification of protein helix capping motifs S Mullane, R Chen, SV Vemulapalli, EJ Draizen, K Wang, C Mura, ... 2019 Systems and Information Engineering Design Symposium (SIEDS), 1-6, 2019 | 4 | 2019 |
| Deep generative models of protein structure uncover distant relationships across a continuous fold space EJ Draizen, S Veretnik, C Mura, PE Bourne Nature Communications 15 (1), 8094, 2024 | 3 | 2024 |
| Prop3D: A flexible, Python-based platform for machine learning with protein structural properties and biophysical data EJ Draizen, J Readey, C Mura, PE Bourne BMC bioinformatics 25 (1), 11, 2024 | 3 | 2024 |
| Explainable Deep Generative Models, Ancestral Fragments, and Murky Regions of the Protein Structure Universe EJ Draizen, C Mura, PE Bourne bioRxiv, 2022.11. 16.516787, 2022 | 2 | 2022 |
| Deep Generative Models of Protein Structure: A Method to Uncover Distant Relationships Across a Continuous Fold Space C Mura, E Draizen, S Veretnik, P Bourne | 1 | 2023 |