ABSTRACT

This book delivers a comprehensive and insightful account of applying mathematical modelling approaches to very large biological systems and networks—a fundamental aspect of computational systems biology. The book covers key modelling paradigms in detail, while at the same time retaining a simplicity that will appeal to those from less quantitative fields.

Key Features:

  • A hands-on approach to modelling
  • Covers a broad spectrum of modelling, from static networks to dynamic models and constraint-based models
  • Thoughtful exercises to test and enable understanding of concepts
  • State-of-the-art chapters on exciting new developments, like community modelling and biological circuit design
  • Emphasis on coding and software tools for systems biology

  • Companion website featuring lecture videos, figure slides, codes, supplementary exercises, further reading, and appendices: https://ramanlab.github.io/SysBioBook/

An Introduction to Computational Systems Biology: Systems-Level Modelling of Cellular Networks is highly multi-disciplinary and will appeal to biologists, engineers, computer scientists, mathematicians and others.

chapter 1|26 pages

Introduction to modelling

part I|86 pages

Static Modelling

chapter 282|28 pages

Introduction to graph theory

chapter 3|34 pages

Structure of networks

chapter 4|22 pages

Applications of network biology

part II|58 pages

Dynamic Modelling

chapter 1145|16 pages

Introduction to dynamic modelling

chapter 6|30 pages

Parameter estimation

chapter 7|10 pages

Discrete dynamic models: Boolean networks

part III|76 pages

Constraint-based Modelling

chapter 1728|28 pages

Introduction to constraint-based modelling

chapter 9|22 pages

Extending constraint-based approaches

chapter 10|24 pages

Perturbations to metabolic networks

part IV|78 pages

Advanced Topics

chapter 24811|26 pages

Modelling cellular interactions

chapter 12|18 pages

Designing biological circuits

chapter 14|17 pages

Epilogue: The road ahead