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Course: Dynamics in systems biology (3 credits)
Time: Monday (1:20pm~2:10pm) and Friday (1:20pm~ 3:10pm)
Location:普 201 at chemistry department of NTU.
Professor:Dr.Chao-Ping Hsu
Fall 2008
Chao-Ping Hsu
Textbook:
1.
An introduction to systems biology by U. Alon, Published by Chapman & Hall/CRC.
2.
Nonlinear dynamics and chaos by S. H. Strogatz, Published by Perseus Book,
Cambridge, USA in 1994.
The vast advancement in technology and accumulation of information nowadays has
enabled us to study biology with great details in the molecular level. Understanding of
biology at the systems level has become possible in many cases. The dynamical aspect of
these studies can often be included in a model to describe and to predict the behavior of a
complex biological system. The construction, evolution and prediction of these
biological models are closely related to a branch in mathematics – nonlinear dynamics.
To help students better understand the literatures in this area, this course is divided into
two parts:
I. In this course, we will learn the fundamental mathematics of nonlinear dynamics
by following “Nonlinear dynamics and chaos” written by Strogatz, which is a
very readable book with the simplest possible mathematical ingredients. In
particular, the following subjects will be covered:
1. Solving ordinary differential equations both numerically and analytically. We
will use simple online solver to numerically solve ODE’s. For analytical
solutions, only the basic aspects and commonly used skills will be covered.
2. Stability analysis of linear and nonlinear dynamics. Students will learn to
search for fixed points, sketch flows in phase space and to judge for the
stability of these fixed points.
3. Bifurcations in one-dimension and higher dimensions. Bifurcations lead to
changes of systems behavior with a change of a system parameter (condition).
Important bifurcations including the saddle-node, transcritical, pitchfork and
Hopf bifurcations will be introduced with examples and exercises.
4. Elementary nonlinear analysis for limit cycles that govern oscillatory behavior
of a system, and periodic oscillation is seen in many important biological
systems.
5. Applications/examples in the area of ecology and molecular biology.
II. We will study several interesting papers published in recent years, which involves
quantitative observation in biological systems and a model description or even
prediction with nonlinear dynamics. Alon’s book contains a good number of
examples in a well-organized layout.
1. Feed-forward loops and their biological implications.
2. Positively feedback loops and their roles in biology. Examples include the
MAPK protein regulatory network, regulation of the Gal gene expressions in
yeast, and the Lac genes in E. coli.
3. Negatively feedback loops and their roles in biology. Examples include the
regulation of NF-B activity via the expression of its inhibitors and the
circadian clock gene network.
4. The sources and characters of noises in biological systems. Numerical
methods for simulation involving noises. Recent observations in single-cell
experiments and their implications.
5. Reaction-diffusion systems and their application in the study of animal skin
patterns.
There will be 6-8 problem sets, a written midterm exam and a term paper.
Prerequisite: Elementary calculus