Computational Systems Biology

Presents the quantitative study of complex biosystems at the molecular, cellular, tissue, and systems scales. This work applies mathematical modeling and engineering methods to the study of biological systems. It also includes strategies for predicting biological properties and methods for elucidating structure-function relationships.

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Systems Biology is concerned with the quantitative study of complex biosystems at the molecular, cellular, tissue, and systems scales. Its focus is on the function of the system as a whole, rather than on individual parts. This exciting new arena applies mathematical modeling and engineering methods to the study of biological systems. This book is the first of its kind to focus on the newly emerging field of systems biology with an emphasis on computational approaches. The work covers new concepts, methods for information storage, mining and knowledge extraction, reverse engineering of gene and metabolic networks, as well as modelling and simulation of multi-cellular systems. Central themes include strategies for predicting biological properties and methods for elucidating structure-function relationships.