Computational Systems Biology (CSB)
Computational systems biology is a new and rapidly developing field of research with focus to understand structure and processes of biological systems at molecular, cellular, tissue and organ level, through computational modeling and novel information theoretic data- and image analysis methods. With the break-through in deciphering the human genome using the most up-to-date computational approaches and modern experimental biotechnology, it has become possible to understand the structure and functions of bio-molecules, information stored in DNA (bioinformatics), its expression to proteins, protein structures (proteomics), metabolic pathways and networks, intra- and inter-cell signaling, and the physico-chemical mechanisms involved in them (biophysics).
There is currently wide interest in biology and biomedicine in structures, relations and functions of biological systems, which we study with a wide at-site-arsenal of state-of-the-art information theoretic analysis and multiscale modelling methods. One of our main interests is high density lipoprotein particles, the carriers of good cholesterol in the blood stream, and reverse cholesterol transport related to the particle structure and function. In addition, the structural aspects of low density lipoprotein particles, the carriers of bad cholesterol, will be tackled via spectroscopy (NMR) and imaging (cryo-electron microscopy) experiments. In the systems biology research BECS’s wide repertoire of information theoretic data and image analysis methods serve as key approaches.
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Centre of Excellence in Computational Complex Systems Research: CSB homepage