| What CHO is made of: Variations in the biomass composition of Chinese hamster ovary cell lines D Széliová, DE Ruckerbauer, SN Galleguillos, LB Petersen, K Natter, ... Metabolic engineering 61, 288-300, 2020 | 53 | 2020 |
| Modulation of heterologous expression from PBAD promoter in Escherichia coli production strains D Széliová, J Krahulec, M Šafránek, V Lišková, J Turňa Journal of biotechnology 236, 1-9, 2016 | 24 | 2016 |
| Optimization of the fermentation and downstream processes for human enterokinase production in Pichia pastoris K Melicherová, J Krahulec, M Šafránek, V Lišková, D Hopková, ... Applied microbiology and biotechnology 101, 1927-1934, 2017 | 17 | 2017 |
| Towards rational glyco-engineering in CHO: from data to predictive models J Štor, DE Ruckerbauer, D Széliová, J Zanghellini, N Borth Current Opinion in Biotechnology 71, 9-17, 2021 | 13 | 2021 |
| Key challenges in designing CHO chassis platforms A Hamdi, D Széliová, DE Ruckerbauer, I Rocha, N Borth, J Zanghellini Processes 8 (6), 643, 2020 | 12 | 2020 |
| Elementary vectors and autocatalytic sets for resource allocation in next-generation models of cellular growth S Müller, D Széliová, J Zanghellini PLoS computational biology 18 (2), e1009843, 2022 | 9 | 2022 |
| Robust analytical methods for the accurate quantification of the total biomass composition of mammalian cells D Széliová, H Schoeny, Š Knez, C Troyer, C Coman, E Rampler, ... Metabolic Flux Analysis in Eukaryotic Cells: Methods and Protocols, 119-160, 2020 | 9 | 2020 |
| Inclusion of maintenance energy improves the intracellular flux predictions of CHO D Széliová, J Štor, I Thiel, M Weinguny, M Hanscho, G Lhota, N Borth, ... PLoS Computational Biology 17 (6), e1009022, 2021 | 7 | 2021 |
| Error propagation in constraint‐based modeling of Chinese hamster ovary cells D Széliová, D Iurashev, DE Ruckerbauer, G Koellensperger, N Borth, ... Biotechnology Journal 16 (4), 2000320, 2021 | 6 | 2021 |
| Elementary growth modes/vectors and minimal autocatalytic sets for kinetic/constraint-based models of cellular growth S Müller Biorxiv, 2021.02. 24.432769, 2021 | 6 | 2021 |
| Optimizing VLP production in gene therapy: Opportunities and challenges for in silico modeling L Zehetner, D Széliová, B Kraus, M Graninger, J Zanghellini, ... Biotechnology Journal 18 (7), 2200636, 2023 | 1 | 2023 |
| Elementary vectors and autocatalytic sets for computational models of cellular growth S Müller, D Széliová, J Zanghellini bioRxiv, 2021.10. 31.466640, 2021 | 1 | 2021 |
| Costs of ribosomal RNA stabilization affect ribosome composition at maximum growth rate D Széliová, S Müller, J Zanghellini Communications Biology 7 (1), 196, 2024 | | 2024 |
| Publisher Correction: Costs of ribosomal RNA stabilization affect ribosome composition at maximum growth rate D Széliová, S Müller, J Zanghellini Communications Biology 7, 2024 | | 2024 |
| Does ribosome composition maximize growth rate? The role of RNA instability D Széliová, S Müller, J Zanghellini bioRxiv, 2023.07. 07.548114, 2023 | | 2023 |
| Differential logistic PCA for large-scale comparison of GSMMs and pathway analysis L Zehetner, D Szeliova, B Kraus, J Hernandez Bort, J Zanghellini bioRxiv, 2023.11. 27.568810, 2023 | | 2023 |
| Beyond exponential phase: Metabolic phenotypes in the stationary phase of CHO cell cultures J Štor, D Ruckerbauer, D Széliová, S Sacco, J Young, N Borth, ... | | 2023 |
| Determination of CHO biomass composition D Széliová, D Ruckerbauer, SN Galleguillos, M Hanscho, N Borth New Biotechnology 44, S144-S145, 2018 | | 2018 |
| 1Department of Analytical Chemistry, University of Vienna, Austria, EU; 2Faculty of D Széliová, S Müller, J Zanghellini Methods 14, 40, 0 | | |
| What makes up a cell P Grigaitis, D Széliová | | |
Juergen ZanghelliniDepartment of Analytical Chemistry @ University of ViennaVerified email at univie.ac.at
