On successful completion of this course students should be able to:
• Demonstrate an understanding of the basic principles of Systems Biology approaches in biological systems.
• Demonstrate an understanding of the way the whole of a biological systems exceeds the sum of the parts.
• Demonstrate knowledge of the basic mathematical and computational modelling tools.
• Demonstrate cutting-edge computational and experimental techniques relevant to systems biology.
• Analyze biological systems in vivo using sensors, imaging techniques, and biomarker measurements.
• Apply systems approaches to the analysis of biological systems.
• Demonstrate knowledge of the gene, protein and metabolic systems.
• Demonstrate knowledge of bioinformatics analysis and simulation of biological systems.
Course Content (Syllabus)
Systems Biology is the mathematical and computational modeling of complex biological systems. It has been developed as a result of convergence and synergy of three scientific areas:
1) Rapid accumulation of detailed biological information in the submolecular, molecular, cellular and physiological level.
2) Technological development that allowed us to analyze biological systems in vivo using sensors, imaging techniques, and biomarker measurements.
3) Combined development of more powerful mathematical, physical, and computational techniques available to a greater part of the scientific community.
It is an interdisciplinary scientific field that focuses on complex interactions within biological systems using a holistic approach to biological research.
• Biological systems
• Introduction to mathematical modeling
• Static network models
• The mathematics of biological systems
• Cellular reaction models
• Parameter Estimation - Model Configuration
• Gene systems
• Protein systems
• Metabolic systems
• Structural analysis of metabolic networks
• Dynamic analysis of metabolic network flows
• Signaling systems
• Population systems
• Multi-dimensional biological analysis - integrated data analysis
• Gene expression, protein and metabolite analysis
• Physiology-based models
• Systemic biology in medicine and drug development
• Systemic biology in personalized prevention
• New horizons in systemic biology
-From neurons in the brain
-Multi-step models of cancer development
- Multifactorial diseases, inflammation and trauma
-Interaction between environment and health
The course includes lectures by the instructor responsible, seminars by
• invited professors and internationally renowned researchers, and laboratory exercises for
• Bioinformatics analysis and simulation of biological systems