BT5240 – Computational Systems Biology
How can we model complex biological systems at various levels?
How can we represent/visualise/analyse massive biological networks?
How do biological systems respond to perturbations?
What are the challenges in modelling biological systems?
Course contents
- Fundamentals of mathematical modelling
- Representations of biological networks
- Static network biology • Analysis of massive complex networks: parameters, centralities & algorithms
- Systems Biology Markup Language (SBML) • Databases and tools for systems biology
- Modelling of metabolic networks • Constraint-based modelling using linear/quadratic programming
- Protein-protein interaction networks • Modelling gene regulatory circuits and signalling networks
- Kinetic modelling using ODEs • Parameter estimation • Robustness/sensitivity analysis
- Discrete modelling of biological systems • Boolean network modelling
- Applications of systems-level modelling: metabolic engineering, drug discovery, synthetic
biology - Perspectives and challenges in systems biology
Trailer of the NPTEL MOOC course: https://www.youtube.com/watch?v=7GRxcB0-qYc