Jürgen Zanghellini
1090 Wien
Courses
Winter term 2026
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270013 SE Writing of the Bachelor´s Thesis
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270030 VU Cellular energetics
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270103 PR Bachelor Laboratory Course B - Analytical Chemistry and Food Chemistry
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270239 PR Data Science in Metabolomics in R
Summer term 2026
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270013 SE Writing of the Bachelor´s Thesis
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270103 PR Bachelor Laboratory Course B - Analytical Chemistry and Food Chemistry
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270190 VU Introduction to metabolic modelling
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270191 VU Introduction to R
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270194 VU *omics Integration
Winter term 2025
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270013 SE Writing of the Bachelor´s Thesis
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270030 VU Cellular energetics
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270103 PR Bachelor Laboratory Course B - Analytical Chemistry and Food Chemistry
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270239 PR Data Science in Metabolomics in R
Publications
Müller S, Predl M, Széliová D, Zanghellini J. Elementary vectors reveal minimal interactions in microbial communities. Journal of the Royal Society Interface. 2026 Jun 24;23(239):20250869. doi: 10.1098/rsif.2025.0869
Di Giusto P, Choi DH, Antonakoudis A, Duraikannan VG, Craveur P, Cowie NL et al. A community reconstruction of Chinese hamster metabolism and structural systems biology elucidate metabolic rewiring in lactate-free CHO cells. Cell Systems. 2026 Jun 17;17(6):101574. doi: 10.1016/j.cels.2026.101574
Karasová M, Jobst M, Framke D, Bergen J, Meier-Menches S, Keppler B et al. Mechanical cues rewire lipid metabolism and support chemoresistance in epithelial ovarian cancer cell lines OVCAR3 and SKOV3. Cell communication and signaling. 2025 Dec;23(1):193. doi: 10.1186/s12964-025-02144-9
Zehetner L, Széliová D, Kraus B, Hernandez Bort JA, Zanghellini J. Multi-omics driven genome-scale metabolic modeling improves viral vector yield in HEK293. Metabolic engineering. 2025 Sept;91:103-118. doi: 10.1016/j.ymben.2025.03.011
Graf AC, Libiseller-Egger J, Gotsmy M, Zanghellini J. Fedbatchdesigner: A User-Friendly Dashboard for Modeling and Optimizing Growth-Arrested Fed-Batch Processes. ACS Synthetic Biology. 2025 Aug 15;14(8):3252-3257. Epub 2025 Jul 21. doi: 10.1021/acssynbio.5c00357
Klamt S, Zanghellini J, Von Kamp A. Minimal cut sets in metabolic networks: From conceptual foundations to applications in metabolic engineering and biomedicine. Briefings in bioinformatics. 2025 Mar 1;26(2):bbaf188. doi: 10.1093/bib/bbaf188
Lázaro J, Joven T, Széliová D, Zanghellini J, Júlvez J. Multi-scale design and optimization of antibody production via flexible nets. Computational and Structural Biotechnology Journal. 2025 Jan;27:1498-1510. doi: 10.1016/j.csbj.2025.03.040
Széliová D, Müller S, Zanghellini J. Costs of ribosomal RNA stabilization affect ribosome composition at maximum growth rate. Communications Biology. 2024 Dec;7(1):196. doi: 10.1038/s42003-024-05815-4
Schlögel G, Lück R, Kittler S, Spadiut O, Kopp J, Zanghellini J et al. Optimizing bioprocessing efficiency with OptFed: Dynamic nonlinear modeling improves product-to-biomass yield. Computational and Structural Biotechnology Journal. 2024 Dec;23:3651-3661. doi: 10.1016/j.csbj.2024.09.024
Gotsmy M, Erian A, Marx H, Pflügl S, Zanghellini J. Predictive dynamic control accurately maps the design space for 2,3-butanediol production. Computational and Structural Biotechnology Journal. 2024 Dec;23:3850-3858. doi: 10.1016/j.csbj.2024.10.016
Projects
Fungi in museums and collections: a novel, highly sensitive, AI powered sensor system for the early stage detection of fungal contaminations
Circular Bioengineering
Prokaryote proteomics at high temperature for single cells
Morpho-metabolischer Fingerabdruck von Ovarialkarzinom
Talks
Confessiones: what works and what doesn't
A Geometric View of Community Metabolism
(COBRA2026)
The Geometry of Microbial Cooperation: Linking Metabolism and Ecology
The Geometry of Microbial Cooperation: Linking Metabolism and Ecology
Hybrid models in bioprocess optimization
The Geometry of Cooperation: decoding microbial Interactions
From Microbes to Interactions with PyCoMo – Tackling the Challenges in Community Metabolic Modelling
OptFed: Advancing Bioprocess Control with Data-Driven Optimization
Why do cells invest in compartmentalization? The thermodynamic benefits of mitochondria
Constraint-based modeling of microbial communities
Chemical crosslinking and quantitative mass spectrometry: Insights beyond distance information
Computational modeling of protein interactions using chemical crosslinking and mass spectrometry
OptFed: Advancing Bioprocess Control with Data-Driven Optimization
Modeling of AAV Production Processes using HEK293-specific GSMMs
Chemical crosslinking and quantitative mass spectrometry: Insights beyond distance information
The Metabolic Guide for Space Survival
Boosting biotechnological production process with constraint-based process modeling
VLP Production in Gene Therapy
Beyond exponential: exploring effective alternative feeding strategies in fed-batch fermentation
Optimally designing multi-step fermentation processes
Tailored mass spectral data exploration using the specXplore interactive dashboard
Innovating Biopharmaceutical Production: Maximization of Yield and Quality with Multi-Phase Fed-Batch Processes
Designing an optimal fed-batch process using a comprehensive differential equation model
Development of a genome-scale metabolic model tailored to a CHO fed-batch process platform
Unmasking nature's collaborators: Computing all feasible compositions of microbial communities
Are Ribosomes Made for Maximal Growth? Insights from Resource Balance Analysis
Sulfate limitation increases specific plasmid DNA yield in E. coli fed-batch processes
Sulfate limitation increases specific plasmid DNA yield
Does ribosome composition maximize growth rate? The role of RNA instability
Unmasking Nature's Collaborators: Computation of all feasible compositions of microbial communities
Visualizing cross-feeding interactions in community metabolic models
specXplore: An interactive dashboard for flexible exploration of mass spectral data
specXplore: a tool for interactive and dynamic exploration of mass spectral embeddings and graphs
Carbon – Cycle Economy Demonstration (C-CED): operational concepts
An interactive workflow for single-cell multiplexed image analysis
Analyzing Optimal and Non-Optimal Resource Allocations in Whole-Cell Models
A human-in-the-loop workflow for single-cell multiplexed image analysis
Implementation of a Genome-Scale Metabolic Model for Process Optimization of AAV-Production in HEK293 Cells
If all you have is a hammer, everything looks like a nail: On the ubiquitous of elementary flux modes
Thermodynamic Genome-Scale Metabolic Modeling of Metallodrug Resistance in Colorectal Cancer
If all you have is a hammer, everything looks like a nail: On the ubiquitous of elementary flux modes
Identification of linked metabolites allows a reliable and quantitative analysis of the finger sweat
PeakBot: Machine learning based chromatographic peak picking
Beyond metabolism
Identification of Metabolic Pairs Allow a Reliable and Quantitative Analysis of the Finger Sweat Metabolome
Finger Sweat Analysis Enables Metabolic Biomonitoring in Humans
Numerical simulation of microbial processes
Improving Quantitative Genome-Scale Metabolic Modeling of CHO
Reliable Quantitative Finger Sweat Metabolome Analysis
Vom Nutzen und Nachteil von Netzwerken für das Leben
Die Vermessung von CHO: Requirements for accurate FBA predictions
Cellular robustness is not a byproduct of environmental flexibility
Maintenance energy is essential for accurate predictions of intracellular fluxes in CHO
Predictive modelling of CHO requires high precision data
Profile
Info
Comment:
• Computational Biology
• Systems Biology
• Metabolism