Reconstructing life

As the knowledge of genes, proteins, and other biological components has developed, so has the interest in studying the interaction between them in order to understand complete biological systems. Here, the systems biology approach provides concepts and tools. The ultimate goal is to rebuild nature on the computer and set up a complete mathematical model of living cells in silico. Such models may then, for instance, be used to optimize the biotechnological production of value-added chemicals by microorganisms.

The research focuses on mathematically modeling the dynamics, regulation, and control of metabolic networks. In particular, we are interested in studying structural, i.e. topological properties of complex metabolic networks and how these structures give rise to metabolic functions. We develop computational tools to predict optimized microbes for biotechnological applications. Most of the experimental work is carried out in collaboration with other research groups within acib.

 Latest publications

15.10.2024
 

Foundations of Systems Biology in Engineering: Mathias Gotsmy, Dafni Giannari, Radhakrishnan Mahadevan, and Jürgen Zanghellini

11.10.2024
 

Guido Schlögel, Rudiger Lück, Stefan Kittler, Oliver Spadiut, Julian Kopp, Jürgen Zanghellini, Mathias Gotsmy

04.10.2024
 

Viktor Laurin Sedlmayr, Diana Széliová, Veerke De Kock, Yannick Gansemans, Filip Van Nieuwerburgh, Eveline Peeters, Julian Quehenberger, Jürgen...

30.09.2024
 

Kevin Mildau, Christoph Büschl, Jürgen Zanghellini, and Justin J. J. van der Hooft

19.09.2024
 

Included in "International Conference on Computational Methods in Systems Biology": paper by Jorge Lázaro, Jorge Júlvez, and Jürgen Zanghellini

09.07.2024
 

Leopold Zehetner, Diana Széliová, Barbara Kraus, Juan A. Hernández Bort, and Jürgen Zanghellini

28.05.2024
 

Gabriel Braun, Martin Schaier, Paulina Werner, Sarah Theiner, Jürgen Zanghellini, Lukas Wisgrill, Nanna Fyhrquist, and Gunda Köllensperger

02.04.2024
 

Kevin Mildau, Henry Ehlers, Ian Oesterle, Manuel Pristner, Benedikt Warth, Maria Doppler, Christoph Büschl, Jürgen Zanghellini, and Justin J. J. van...

26.03.2024
 

PyCoMo simplifies the analysis of community metabolic models: Michael Predl, Marianne Mießkes, Thomas Rattei, and Jürgen Zanghellini

17.02.2024
 

A self-fabricating cell and optimal ribosome composition: Diana Széliová, Stefan Müller, and Jürgen Zanghellini

11.01.2024
 

Understanding microorganisms improves bioprocess design: Benjamin Luke Coltman, Corinna Rebnegger, Brigitte Gasser, and Jürgen Zanghellini

28.11.2023
 

Mathias Gotsmy, Florian Strobl, Florian Weiß, Petra Gruber, Barbara Kraus, Jürgen Mairhofer, and Jürgen Zanghellini

12.10.2023
 

Guido Schlögel explains how to design an optimal fed-batch process using a differential equation model.

03.10.2023
 

An interactive dashboard providing flexible means of spectral data exploration complementary to molecular networking: by Kevin Mildau

03.10.2023
 

Computation of feasible compositions of microbial communities: by Marianne Mießkes and Jürgen Zanghellini

02.05.2023
 

Leopold Zehetner, Diana Széliová, Barbara Kraus, Michael Graninger, Jürgen Zanghellini, and Juan Antonio Hernández Bort

21.03.2023
 

An update to ecmtool that uses mplrs for parallelized ECM enumeration: Bianca Buchner, Tom J. Clement, Daan H. de Groot, and Jürgen Zanghellini

28.07.2021
 

A machine-learning-based approach was developed for detecting chromatographic peaks in LC-HRMS profile-mode data: by Christoph Büschl