Publications of the group Biochemical Network Analysis

Showing entries 1 - 10 out of 62

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2026

Müller, S., Predl, M., Széliová, D., & Zanghellini, J. (2026). Elementary vectors reveal minimal interactions in microbial communities. Journal of the Royal Society Interface. https://doi.org/10.1098/rsif.2025.0869

Economic Cell Collective, Szeliova, D., & Müller, S. (2026). Economic Principles in Cell Biology. https://doi.org/10.5281/zenodo.18088026

Kushwaha, M., Liebermeister, W., Noor, E., Sechkar, K., & Szeliova, D. (2026). Benefit and cost of a protein. In Economic Principles in Cell Biology (Textbook ) https://doi.org/10.5281/zenodo.18087995

2025

Karasová, M., Jobst, M., Framke, D., Bergen, J., Meier-Menches, S., Keppler, B., Koellensperger, G., Zanghellini, J., Gerner, C., & Del Favero, G. (2025). Mechanical cues rewire lipid metabolism and support chemoresistance in epithelial ovarian cancer cell lines OVCAR3 and SKOV3. Cell communication and signaling, 23(1), Article 193. https://doi.org/10.1186/s12964-025-02144-9

Zehetner, L., Széliová, D., Kraus, B., Hernandez Bort, J. A., & Zanghellini, J. (2025). Multi-omics driven genome-scale metabolic modeling improves viral vector yield in HEK293. Metabolic engineering, 91, 103-118. https://doi.org/10.1016/j.ymben.2025.03.011

Graf, A. C., Libiseller-Egger, J., Gotsmy, M., & Zanghellini, J. (2025). Fedbatchdesigner: A User-Friendly Dashboard for Modeling and Optimizing Growth-Arrested Fed-Batch Processes. ACS Synthetic Biology, 14(8), 3252-3257. https://doi.org/10.1021/acssynbio.5c00357

Klamt, S., Zanghellini, J., & Von Kamp, A. (2025). Minimal cut sets in metabolic networks: From conceptual foundations to applications in metabolic engineering and biomedicine. Briefings in bioinformatics, 26(2), Article bbaf188. https://doi.org/10.1093/bib/bbaf188

Lázaro, J., Joven, T., Széliová, D., Zanghellini, J., & Júlvez, J. (2025). Multi-scale design and optimization of antibody production via flexible nets. Computational and Structural Biotechnology Journal, 27, 1498-1510. https://doi.org/10.1016/j.csbj.2025.03.040

Grigaitis, P., & Szeliova, D. (2025). An inventory of cell components. In Economic Principles in Cell Biology (Textbook ) https://doi.org/10.5281/zenodo.14562695

2024

Széliová, D., Müller, S., & Zanghellini, J. (2024). Costs of ribosomal RNA stabilization affect ribosome composition at maximum growth rate. Communications Biology, 7(1), Article 196. https://doi.org/10.1038/s42003-024-05815-4

Showing entries 1 - 10 out of 62

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Activities of the group Biochemical Network Analysis

Showing entries 131 - 140 out of 145

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PeakBot: A high-performance machine learning model for chromatographic peak picking in profile mode LC-HRMS datasets

Christoph Bueschl , Jürgen Zanghellini

ISMB/ECCB 2021

Conference, Poster presentation

25.7.2021 - 25.7.2021

Finger Sweat Analysis Enables Metabolic Biomonitoring in Humans

Julia Brunmair , Mathias Gotsmy , Andrea Bileck , Jürgen Zanghellini , Samuel Matthias Meier-Menches , Christopher Gerner

Metabolomics 2021 Online: 17th Annual Conference of the Metabolomics Society

Conference, Talk or oral contribution

22.6.2021 - 22.6.2021

PeakBot: A high-performance machine learning model for chromatographic peak picking in profile mode LC-HRMS datasets

Christoph Bueschl , Jürgen Zanghellini

Metabolomics 2021 Online: 17th Annual Conference of the Metabolomics Society

Conference, Poster presentation

22.6.2021 - 22.6.2021

Numerical simulation of microbial processes

Jürgen Zanghellini

Underground Sun.Conversion: Interner Stakeholder-Workshop (online)

Seminar/Workshop, Talk or oral contribution

14.4.2021 - 14.4.2021

Enzyme promiscuity enables efficient recombinant protein production, on methnaol, in an AOX deficient Pichia pastoris strain

Benjamin L. Coltman , Domen Zavec , Diethard Mattanovich , Brigitte Gasser , Jürgen Zanghellini

Pichia 2021 (Virtual Conference)

Conference, Poster presentation

24.3.2021 - 24.3.2021

Assessing flux rearrangements of an alternate methanol metabolism that enables efficient recombinant protein production in Pichia pastoris

Benjamin L. Coltman , Domen Zavec , Diethard Mattanovich , Brigitte Gasser , Jürgen Zanghellini

7th Conference on Constraint-Based Reconstruction and Analysis (COBRA 2021)

Conference, Poster presentation

1.3.2021 - 1.3.2021

Improving Quantitative Genome-Scale Metabolic Modeling of CHO

Diana Széliová , David E. Ruckerbauer , Jerneja Štor , Dmytro Iurashev , Harald Schöny , Michael Hanscho , Stephan Hann , Gunda Köllensperger , Isabel Rocha , Nicole Borth , Jürgen Zanghellini

7th Conference on Constraint-Based Reconstruction and Analysis (COBRA 2021)

Conference, Talk or oral contribution

1.3.2021 - 1.3.2021

Reliable Quantitative Finger Sweat Metabolome Analysis

Mathias Gotsmy , Julia Brunmair , Andrea Bileck , Astrid Slany , Samuel Matthias Meier-Menches , Christopher Gerner , Jürgen Zanghellini

ÖGMBT Life Science Tuesdays – Chemical Biology (virtual meeting)

Lecture series, colloquium, Talk or oral contribution

23.2.2021 - 23.2.2021

Vom Nutzen und Nachteil von Netzwerken für das Leben

Jürgen Zanghellini

Talk or oral contribution

9.10.2020 - 9.10.2020

Die Vermessung von CHO: Requirements for accurate FBA predictions

Jürgen Zanghellini

Tools and Methods for Rational Metabolic Engineering

Seminar/Workshop, Talk or oral contribution

15.7.2020 - 15.7.2020

Showing entries 131 - 140 out of 145

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Projects of the group Biochemical Network Analysis

Morpho-metabolischer Fingerabdruck von Ovarialkarzinom

Del Favero, G. (Project Lead), Köllensperger, G. (Co-Lead), Gerner, C. (Co-Lead) & Zanghellini, J. (Co-Lead)

15/09/22 → 14/09/27

Project: Research funding

Prokaryote proteomics at high temperature for single cells

Zanghellini, J. (Project Lead)

1/01/24 → 31/12/27

Project: Research cooperation

Circular Bioengineering

Köllensperger, G. (Project Lead), Ludwig, R. (Co-Lead), Bismarck, A. (Co-Lead), Zanghellini, J. (Co-Lead) & Woodward, R. (Co-Lead)

1/12/24 → 30/11/29

Project: Research funding

Fungi in museums and collections: a novel, highly sensitive, AI powered sensor system for the early stage detection of fungal contaminations

Zanghellini, J. (Project Lead), Sterflinger , K. (Co-Lead) & Kellner , E. (Co-Lead)

1/04/26 → 31/03/29

Project: Research funding