Introduction to Computational Systems Biology Systems-Level Modelling of Cellular Networks

The main objective of this book is to deliver a comprehensive and insightful account of applying mathematical modelling approaches to very large biological systems and networks, a fundamental aspect of computational systems biology. Several key modelling paradigms will be discussed in detail.

About the author

Dr. Karthik Raman is an Associate Professor at the Department of Biotechnology, Bhupat & Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras. He co-founded and co-ordinates the Initiative for Biological Systems Engineering and is a core member of the Robert Bosch Centre for Data Science and Artificial Intelligence (RBCDSAI). He has been a researcher in the area of systems biology for the last 15+ years and has been teaching a course on systems biology for the last eight years, to (mostly) engineers from different backgrounds. His lab works on computational approaches to understand and manipulate biological networks, with applications in metabolic engineering and synthetic biology.

Summary

The main objective of this book is to deliver a comprehensive and insightful account of applying mathematical modelling approaches to very large biological systems and networks, a fundamental aspect of computational systems biology. Several key modelling paradigms will be discussed in detail.

Product details

• Authors: Karthik Raman
• Assisted by: Raman Karthik (Editor)
• Publisher: Taylor & Francis Ltd.
• Content: Book
• Product form: Hardback
• Publication date: 31.05.2021
• Subject: Guides; Natural sciences, medicine, IT, technology > IT, data processing > Programming languages
• EAN: 9781138597327
• ISBN: 978-1-138-59732-7
• Pages: 358
• Series: Chapman & Hall/CRC Computational Biology Series
• Subjects: MATHEMATICS / Probability & Statistics / General, SCIENCE / Life Sciences / Biology, SCIENCE / Life Sciences / Biochemistry, SCIENCE / Biotechnology, SCIENCE / Life Sciences / Biophysics, COMPUTERS / Programming / Games, Life sciences: general issues, Systems Biology, Systems analysis & design, Applied mathematics, Biological systems, Systems analysis and design, Synthetic Biology, Computational biology / bioinformatics, petri nets, computational systems biology, bipartite graph, Adjacency matrix, Network Biology, biological networks, sir model, Degree Distribution, National Academy, metabolic networks, constraint-based models, Systems Level Modelling, gene network, Constraint Based Modelling, Boolean network, Community modelling, Mathematical modelling approaches, Synthetic Lethals, Bi-level Optimisation Problem, Genotype Space, Stoichiometric Matrix, Metabolic Model, Discrete Dynamic Models, Protein Protein Interaction Networks, Genome Scale Metabolic Models, neutral network, Protein Interaction Network, String Database