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Welcome the Systems Biology Forum of the Max-Planck-Society
This portal serves as a platform for exchange of information
about systems biology related research within the Max-Planck Society
The following research groups are contributing to this forum:
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Department of Membrane Biochemistry (Dept. Oesterhelt), MPI of Biochemistry:
Genome-wide data are collected for halophilic organisms to build
models of metabolism, regulation, bioenergetics, and signal
transduction.
Quantitative physiological experiments lead already to a
satisfactory model of signal transduction in the phototactic
response of Halobacterium salinarum. This model simulates all
experimental observations.
Read more on the Project Homepage
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Research Group "Systems Biology" (Prof. Dr.-Ing. Ernst Gilles), MPI
for Dynamics of Complex Technical Systems, Magdeburg:
The Systems Biology group at MPI Magdeburg is composed of
researchers from different disciplines and has a strong focus
on mathematical modeling and model analysis.
The activities concentrate on studies on a number of
aspects of metabolic regulation and signal transduction
including both prokaryotic and eukaryotic systems
(e.g. E. coli, S. cerevisiae, Hepatocyctes).
Read more on the Project Homepage
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Research Group "Bioprocess Engineering" (Prof. Dr.-Ing. Udo Reichl), MPI for Dynamics
of Complex Technical Systems, Magdeburg:
Structured mathematical models are developed for the life
cycle of the influenza virus in mammalian cells. Such models
allow to better understand the complex mechanisms
underlying cell growth and virus replication and to analyze
virus growth dynamics in mammalian cells, e.g. for the optimization
of virus yield in vaccine production processes.
Read more on the Project Homepage
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Research Group "Molecular Network Analysis"
(Prof. Dr. rer. nat. Wolfgang Marwan), MPI for Dynamics of Complex Technical Systems, Magdeburg:
The Molecular Network Analysis Group develops experimental and
theoretical approaches to study the structure and function of
signaling networks by reverse engineering.
Model systems are a small network of interacting proteins,
mediating the phototactic response of Halobacterium salinarum
and a large genetic network that controls commitment and
differentiation in the eukaryote Physarum polycephalum.
(Project Homepage in preparation)
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Kinetic Modeling Group
(Dr. Edda Klipp), MPI for Molecular Genetics, Berlin:
The Kinetic Modeling Group deals with the modelling of complex biological
phenomena and diseases, using various mathematical tools. The
realization of genomic information in a biological instance is
ensured by a complex network of processes. The behavior of
such dynamic processes cannot be understood by intuition
alone. We use mathematical models to describe and investigate
cellular processes and regulatory links from gene expression
to metabolism. One of our main interests is the integration of
high-throughput data generated in the Max Planck Institute for
Molecular Genetics.
Read more on the Project Homepage
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Research Group "Complex structures in biology and cognition"
(Prof. Dr. Jürgen Jost), MPI for Mathematics in the Sciences, Leipzig:
The research group is composed of researchers from
mathematics, physics, computer science, biology, neurobiology
and psychology and investigates complex systems and dynamics
with tools from those disciplines.
Read more on the Project Homepage
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Research Group "Mathematical Biology"
(Dr. Angela Stevens), MPI for Mathematics in the Sciences, Leipzig:
The emergence of structures and pattern formation
in developmental cell systems reveals
important information on underlying functional mechanisms.
By means of mathematical modeling, analysis
and numerical simulation the research group aims to detect
and understand these in specific biological examples.
(Project homepage in preparation)
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Department of Protein Evolution
(Prof. Andrei Lupas, PhD), MPI for Developmental Biology, Tübingen:
In essence, life results from the chemical activity of
proteins. We work to understand the evolution of proteins in
the context of living systems. Our main foci of research are
the origin of folded proteins and a natural classification for
proteins.
Read more on the Project Homepage
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Research group "Molecular
mechanisms of endocytosis and endosome biogenesis"
(Prof. Dr. Marino Zerial), MPI of Molecular Cell Biology and Genetics, Dresden:
This group is interested in the molecular mechanisms of endocytosis, an
essential function of all eukaryotic cells. In particular, the focus is
on three aspects: 1) the mechanisms underlying endosome biogenesis, 2)
how endocytic transport regulates and is modulated by intracellular
signalling and 3) the regulation of endocytosis in polarised cells,
such as epithelial cells and neurons.
Genome-wide data are collected for the endocytic machinery to build
mathematical models of endocytosis and signal transduction. A central
objective is to use a systems biology approach to model the biogenesis and
maintenance of endocytic organelles (endosomes) on the basis of
experimental data.
Read more on the Project Homepage
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Research group "Transcriptional regulation and Networks"
(Prof. Dr. Martin Vingron), MPI for Molecular Genetics, Berlin:
The Regulation Group uses statistical methods and
comparative genomics to define regulatory networks
and combinatorial control mechanisms based on
sequence information. These predictions are refined
using additional information from other postgenomic data
sources, such as expression data and protein interactions.
We support various experimental groups through definition
and annotation of promoter regions.
Read more on the Project Homepage
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Research group "Bioinformatics"
(Dr. Ralf Herwig), MPI for Molecular Genetics, Berlin
The group is composed of mathematicians, physicists, biologists
and computer scientists and performs statistical analysis, methods and
tool development for functional genomics and medical applications. In
particular, the group works on integrated systems for the correlation and
exhaustive mining of heterogeneous data (genomics, proteomics, patient
data, physiological data) and the integration of this data into models of
complex biological systems such as gene regulatory motifs, metabolic
networks and signal transduction pathways. Particular applications
consist of cancer, type-2 diabetes and gene regulatory processes in early
development.
Read more on the Project Homepage
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Department of Computational Biology and Applied Algorithmics
(Prof. Dr. Thomas Lengauer, PhD), MPI for Informatics, Saarbrücken:
Our research focuses on the analysis of biological sequences,
the analysis and prediction of protein structure and function,
the analysis of intermolecular interactions and interaction networks,
gene and protein expression patterns, genetic variations,
and computational drug screening and drug design.
Read more on our projects on Bioinformatics for HIV (AIDS), Medical Bioinformatics, Metabolic Networks, and Gene Expression Data
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