University Côte d'azur

Modélisation des réseaux biologiques

ECUE's code : SMESV05

This course belong to BIOLOGIE SYSTEMIQUE 1 (6 ECTS) which contains 1 ECUE
EUR LIFE
Informatique , Biologie cellulaire , Biologie des populations et écologie
Campus Valrose
Master 1 , Master 2
Semestre impair
Anglais

PRESENTATION

Objectives: Acquire mathematical tools for modeling and dynamic analysis of biological networks (e.g. genetic, metabolic, or signaling pathways...).

Program: Topics covered include:
1. What can mathematical modeling contribute to biology?

2. How can we model a set of biochemical reactions?
a. Fundamentals of chemical kinetics and enzyme function.

b. Stationary and quasi-stationary states (Michaelis-Menten) Competitive and non-competitive inhibition
c. Multiple equilibria and cooperativity
d. Compartment modeling. Transport and diffusion

3. Model analysis within the “dynamic systems” framework
a. Stability analysis
b. Bifurcation analysis
c. Sensitivity analysis
d. Adjustment of model parameters

4. Biological network dynamics
a. Genetic regulation
b. Signal transduction
c. Metabolic networks

 

Course's manager(s)

Madalena Chaves

In class

  • 15h of lectures
  • 15h of directed studies

PREREQUISITES

Before the start of the course, I must ...
  • ordinary differential equations, linear algebra, scientific calculus.

OBJECTIVES

By the end of this course, I should be able to...
  • use mathematical tools to analyze biological networks (e.g. genetic, metabolic or signaling pathways)
  • modeling with mathematical tools

CONTENT

  • No description
  • 2. How do you model a set of biochemical reactions?

    a. Fundamentals of chemical kinetics and enzyme function.
    b. Stationary and quasi-stationary states (Michaelis-Menten) Competitive and non-competitive inhibition
    c. Multiple equilibria and cooperativity
    d. Compartment modeling. Transport and diffusion

     

  • 3.Model analysis within the “dynamic systems” framework

    a.Stability analysis
    b.Bifurcation analysis
    c.Sensitivity analysis
    d.Adjustment of model parameters

  • 4.Biological network dynamics
    a.Genetic regulation
    b.Signal transduction
    c.Metabolic networks

  • Assessment of knowledge :
    Written intermediate test (30%) and written final test (70%).

     

Access to complete Syllabus (Authentification required)
Important
This syllabus has no contractual value. Its content is subject to change throughout this year: be aware to the last updates