E6CE1CC8d01 - Systems Biology Prof. Pierre Hilson Systems...

Info iconThis preview shows pages 1–6. Sign up to view the full content.

View Full Document Right Arrow Icon
Systems Biology Prof. Pierre Hilson Academic year 2009 - 2010 1 Systems Biology Written examination Auditorium 5 KL Ledeganckstraa 35 B 9000 Gent K.L. Ledeganckstraat 35, B-9000 Gent 4 January 2010 (Monday) 14H-17H Academic year 2009-2010 1 Systems Biology Networks Structure, dynamics and function Prof. Dr. Pierre Hilson VIB VIB Department of Plant Systems Biology of Plant Systems Biology University of Ghent Academic year 2009 Academic year 2009-2010 2010 2
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Systems Biology Prof. Pierre Hilson Academic year 2009 - 2010 2 Outline - Introduction - Network models - Biological networks 3 Modeling and simulation tion De strac tails Abs Reprinted from: Ideker and Lauffenburger (2003) TIB 21, 255 4
Background image of page 2
Systems Biology Prof. Pierre Hilson Academic year 2009 - 2010 3 Biological processes are complex Regulatory network controlling the mammalian cell cycle 5 Molecular cell biology seems to be on the verge of emancipating itself from a rather informal and purely emancipating itself from a rather informal and purely reductionist hypothesis-driven approach by embracing high-throughput data acquisition, rigorous quantitation and mathematical modelling. Interest in systems biology reflects a genuine inability of Interest in systems biology reflects a genuine inability of informal conceptual modelling to tackle the sheer complexity of life. Nature editorial, November 2006, doi:10.1038/sysbiol-s3 http://www.nature.com/focus/systemsbiologyuserguide/index.html 6
Background image of page 3

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Systems Biology Prof. Pierre Hilson Academic year 2009 - 2010 4 Network topology to understand complex systems ± Biologists: reaction kinetics in metabolic networks ± Computer scientists: information flow in computer Computer scientists: information flow in computer networks ± Epidemiologists: spread of viruses in populations ± Sociologists: adoption of ideas in societies Do such dynamical processes share common characteristics? Can the study of network topology characteristics? Can the study of network topology form the foundation of a theory of complexity? 7 Barabási (2009) Science 325: 412 Why study networks? ± Networks are abstraction of much more complex systems ± A network can be a good starting point to study a system for which little information is available ± Graphical representations can be better Graphical representations can be better understandable than detailed quantitative descriptions ± Common features may be shared by unrelated networks ± Topological information, based on mathematical relationships ma help in constr cting realistic models relationships, may help in constructing realistic models for the function of the network 8
Background image of page 4
Systems Biology Prof. Pierre Hilson Academic year 2009 - 2010 5 Outline - Introduction - Network models - Biological networks 9 Nodes and edges forming graphs ± Complex biochemical systems can be represented by networks ± Nodes: molecules genes proteins Nodes: molecules, genes, proteins ± Edges: enzymatic activities, correlation in omics data, physical interactions ± Network analytic methods provide formal tools Network analytic methods provide formal tools representation (e.g. 2-D graphs), measurement, and
Background image of page 5

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Image of page 6
This is the end of the preview. Sign up to access the rest of the document.

Page1 / 17

E6CE1CC8d01 - Systems Biology Prof. Pierre Hilson Systems...

This preview shows document pages 1 - 6. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online