RTG 1772/1: Computational Systems Biology


Biology has turned into a quantitative, information-driven science. Like physics in the first half of the twentieth century, biology now generates very challenging questions that drive the development of theory and technology. There are numerous applications of biological research results in medicine and healthcare, biotechnology, and environmental sciences. This process requires the development of new theoretical concepts for understanding biological processes, for the interpretation of biological data and for creating new strategies for experimentation and application. Thus, there is an urgent need for highly educated researchers who are familiar with molecular and cellular biology and who possess at the same time a rich repertoire of mathematical concepts and methods, understanding of information theory and informatics as well as physics and chemistry. While these fields of knowledge are traditionally taught separately, systems biology requires researchers who can combine such skills.
Our Research Training Group for Computational Systems Biology (CSB) is embedded in the Berlin research environment with healthcare and clinical research, biotechnology and basic biological research. On this basis, CSB is devoted to the development of new theoretical concepts and their application to current and upcoming problems in cell biology. The overarching theme is to understand patterns in the structure–dynamics–function relationship of biological systems. Our research topics will be grouped into four pillars: (a) structural investigation of protein–protein and protein-RNA interactions, (b) detailed kinetic models of cellular processes, (c) reverse engineering for prediction of genetic networks from new types of data, and (d) spatio-temporal organization of networks.
The qualification concepts of CSB comprise (i) inspiring and challenging research projects for the young scientists embedded in the research program of CSB and the individual groups, (ii) individual supervision and mentoring, (iii) advanced education in concepts and methods of computational systems biology through lectures and practical courses as well as soft skills training, and (iv) early involvement in the research community, a series of common activities ranging from seminars with external guests to common retreats and scientific workshops as well as the organization of research stays in foreign laboratories.

Principal Investigators
Klipp, Edda Prof. Dr. rer. nat. Dr. h.c. (Details) (Graduate College 268 'Dynamics and Evolution of Cellular and Macromolecular Processes')

Duration of Project
Start date: 03/2011
End date: 07/2015

Last updated on 2020-02-12 at 12:56