The goal of systems biology is to provide a system-level understanding of biological systems by unveiling their structure, dynamics and control methods. The intrinsic multi-scale nature of these systems, in space, in organization levels, and in time, makes extremely difficult to model all of them in a uniform way. Furthermore such models are often not easily amenable to formal analysis and simulation at the organ or even the cell level is frequently impractical. Hybrid modeling techniques, combining discrete and continuous processes, are gaining more and more attention in systems biology, and they have been applied to successfully capture the behavior of several complex biological systems, ranging from genetic networks, signaling pathways, metabolic pathways, and various disease specific pathways. This lecture series aims at networking scientists working in the area of computational systems biology to apply hybrid modeling approaches to solve the mystery of biological systems, in order to discuss about achieved goals, current challenges and future possible developments. This programme is meant to initiate students and young researchers into the interdisciplinary field of Computational Biology. The lectures will give overview of the area for beginners and also expose them to the frontier areas in Computational Systems Biology. Students from the region are particularly encouraged to apply.
Biological Networks, Protein protein interactions, Signal transduction pathways, Metabolic Pathways, Network Motifs, Computational models for biological systems and their simulations, Statistical techniques for biological network analyses, biological networks and their role in myriad of plant and human diseases .