| Serum albumin domain structures in human blood serum by mass spectrometry and computational biology A Belsom, M Schneider, L Fischer, O Brock, J Rappsilber Molecular & Cellular Proteomics 15 (3), 1105-1116, 2016 | 71 | 2016 |
| X‐ray vs. NMR structures as templates for computational protein design M Schneider, X Fu, AE Keating Proteins: Structure, Function, and Bioinformatics 77 (1), 97-110, 2009 | 56 | 2009 |
| Protein tertiary structure by crosslinking/mass spectrometry M Schneider, A Belsom, J Rappsilber Trends in biochemical sciences 43 (3), 157-169, 2018 | 51 | 2018 |
| An integrated workflow for crosslinking mass spectrometry ML Mendes, L Fischer, ZA Chen, M Barbon, FJ O'reilly, SH Giese, ... Molecular systems biology 15 (9), e8994, 2019 | 45 | 2019 |
| Criteria for classifying forecasting methods T Januschowski, J Gasthaus, Y Wang, D Salinas, V Flunkert, ... International Journal of Forecasting 36 (1), 167-177, 2020 | 31 | 2020 |
| Combining physicochemical and evolutionary information for protein contact prediction M Schneider, O Brock PloS one 9 (10), e108438, 2014 | 28 | 2014 |
| Gluonts: Probabilistic time series models in python A Alexandrov, K Benidis, M Bohlke-Schneider, V Flunkert, J Gasthaus, ... arXiv preprint arXiv:1906.05264, 2019 | 26 | 2019 |
| Blind testing of cross‐linking/mass spectrometry hybrid methods in CASP11 M Schneider, A Belsom, J Rappsilber, O Brock Proteins: Structure, Function, and Bioinformatics 84, 152-163, 2016 | 26 | 2016 |
| EPSILON-CP: using deep learning to combine information from multiple sources for protein contact prediction K Stahl, M Schneider, O Brock BMC bioinformatics 18 (1), 1-11, 2017 | 25 | 2017 |
| High-dimensional multivariate forecasting with low-rank gaussian copula processes D Salinas, M Bohlke-Schneider, L Callot, R Medico, J Gasthaus arXiv preprint arXiv:1910.03002, 2019 | 22 | 2019 |
| Neural forecasting: Introduction and literature overview K Benidis, SS Rangapuram, V Flunkert, B Wang, D Maddix, C Turkmen, ... arXiv preprint arXiv:2004.10240, 2020 | 19 | 2020 |
| RBO Aleph: leveraging novel information sources for protein structure prediction M Mabrouk, I Putz, T Werner, M Schneider, M Neeb, P Bartels, O Brock Nucleic acids research 43 (W1), W343-W348, 2015 | 19 | 2015 |
| Blind evaluation of hybrid protein structure analysis methods based on cross-linking A Belsom, M Schneider, O Brock, J Rappsilber Trends in biochemical sciences 41 (7), 564-567, 2016 | 18 | 2016 |
| The structure of active opsin as a basis for identification of GPCR agonists by dynamic homology modelling and virtual screening assays M Schneider, S Wolf, J Schlitter, K Gerwert FEBS letters 585 (22), 3587-3592, 2011 | 15 | 2011 |
| Blind testing cross-linking/mass spectrometry under the auspices of the 11 th critical assessment of methods of protein structure prediction (CASP11) A Belsom, M Schneider, L Fischer, M Mabrouk, K Stahl, O Brock, ... Wellcome open research 1, 2016 | 13 | 2016 |
| In situ structural restraints from cross-linking mass spectrometry in human Mitochondria PSJ Ryl, M Bohlke-Schneider, S Lenz, L Fischer, L Budzinski, M Stuiver, ... Journal of proteome research 19 (1), 327-336, 2019 | 12 | 2019 |
| GluonTS: Probabilistic and Neural Time Series Modeling in Python A Alexandrov, K Benidis, M Bohlke-Schneider, V Flunkert, J Gasthaus, ... Journal of Machine Learning Research 21 (116), 1-6, 2020 | 10 | 2020 |
| Analysis of free modeling predictions by RBO aleph in CASP 11 M Mabrouk, T Werner, M Schneider, I Putz, O Brock Proteins: Structure, Function, and Bioinformatics 84, 87-104, 2016 | 9 | 2016 |
| GluonTS: Probabilistic Time Series Modeling in Python A Alexandrov, K Benidis, M Bohlke-Schneider, V Flunkert, J Gasthaus, ... arXiv preprint arXiv:1906.05264, 2019 | 6 | 2019 |
| An Integrated Workflow for Cross-Linking ML Mendes, L Fischer, ZA Chen, M Barbon, FJ O’Reilly, ... Mass Spectrometry. bioRxiv 355396 (1101), 355396, 2018 | 5* | 2018 |
Oliver BrockProfessor of Computer Science, Technische Universität BerlinVerified email at tu-berlin.de
