Nikolaus Fortelny
Affiliations: | 2012-2016 | University of Salzburg, Salzburg, Salzburg, Austria |
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| Fortelny N, Bock C. (2020) Knowledge-primed neural networks enable biologically interpretable deep learning on single-cell sequencing data. Genome Biology. 21: 190 |
| Rendeiro AF, Krausgruber T, Fortelny N, et al. (2020) Chromatin mapping and single-cell immune profiling define the temporal dynamics of ibrutinib response in CLL. Nature Communications. 11: 577 |
| Dufour A, Bellac CL, Eckhard U, et al. (2018) C-terminal truncation of IFN-γ inhibits proinflammatory macrophage responses and is deficient in autoimmune disease. Nature Communications. 9: 2416 |
| Fortelny N, Overall CM, Pavlidis P, et al. (2017) Can we predict protein from mRNA levels? Nature. 547: E19-E20 |
| Fortelny N, Butler GS, Overall CM, et al. (2017) Protease-inhibitor interaction predictions: Lessons on the complexity of protein-protein interactions. Molecular & Cellular Proteomics : McP |
| Scott NE, Rogers LD, Prudova A, et al. (2017) Interactome disassembly during apoptosis occurs independent of caspase cleavage. Molecular Systems Biology. 13: 906 |
| Prudova A, Gocheva V, Auf dem Keller U, et al. (2016) TAILS N-Terminomics and Proteomics Show Protein Degradation Dominates over Proteolytic Processing by Cathepsins in Pancreatic Tumors. Cell Reports |
| Anania VG, Yu K, Gnad F, et al. (2016) Uncovering a dual regulatory role for caspases during endoplasmic reticulum stress-induced cell death. Molecular & Cellular Proteomics : McP |
| Fortelny N, Pavlidis P, Overall CM. (2015) The path of no return-Truncated protein N-termini and current ignorance of their genesis. Proteomics. 15: 2547-52 |
| Fortelny N, Yang S, Pavlidis P, et al. (2015) Proteome TopFIND 3.0 with TopFINDer and PathFINDer: database and analysis tools for the association of protein termini to pre- and post-translational events. Nucleic Acids Research. 43: D290-7 |