Identifying Decisions in Biological Systems: Toward Understanding and Control

Identifying Decisions in Biological Systems: Toward Understanding and Control

PCS Institute for Basic Science via YouTube Direct link

Integration of the interaction network and of the regulatory functions allows causal insight

7 of 11

7 of 11

Integration of the interaction network and of the regulatory functions allows causal insight

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Identifying Decisions in Biological Systems: Toward Understanding and Control

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  1. 1 Intro
  2. 2 My group's research focus: modeling the dynamics of systems of interacting elements
  3. 3 Connect within-cell networks to cell behavior through discrete dynamic modeling
  4. 4 The dynamic model is built from experimental data and is tested on experimental data
  5. 5 A parsimonious and informative modeling approach: discrete dynamics (logical modeling)
  6. 6 Model - experiment cycles involving our group
  7. 7 Integration of the interaction network and of the regulatory functions allows causal insight
  8. 8 Example: gradual commitment in the cell cycle Phase Switch
  9. 9 The concept of stable motif is preserved in continuous dynamical systems
  10. 10 Example: Boolean model of epithelial to mesenchymal transition (EMT)
  11. 11 Example: preventing C. albicans yeast-to-hyphal transition

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