The complexity of biological systems has intrigued scientists from
many disciplines and has given birth to the highly influential
field of systems biology wherein a wide array of mathematical
techniques, such as flux balance analysis, and technology
platforms, such as next generation sequencing, is used to
understand, elucidate, and predict the functions of complex
biological systems. More recently, the field of synthetic biology,
i.e., de novo engineering of biological systems, has emerged.
Scientists from various fields are focusing on how to render this
engineering process more predictable, reliable, scalable,
affordable, and easy. Systems and control theory is a branch of
engineering and applied sciences that rigorously deals with the
complexities and uncertainties of interconnected systems with the
objective of characterising fundamental systemic properties such as
stability, robustness, communication capacity, and other
performance metrics. Systems and control theory also strives to
offer concepts and methods that facilitate the design of systems
with rigorous guarantees on these properties. Over the last 100
years, it has made stellar theoretical and technological
contributions in diverse fields such as aerospace,
telecommunication, storage, automotive, power systems, and others.
Can it have, or evolve to have, a similar impact in biology? The
chapters in this book demonstrate that, indeed, systems and control
theoretic concepts and techniques can have a significant impact in
systems and synthetic biology. Volume II contains chapters
contributed by leading researchers in the field of systems and
synthetic biology that concern modeling physiological processes and
bottom-up constructions of scalable biological systems. The
modeling problems include characterisation and synthesis of memory,
understanding how homoeostasis is maintained in the face of shocks
and relatively gradual perturbations, understanding the functioning
and robustness of biological clocks such as those at the core of
circadian rhythms, and understanding how the cell cycles can be
regulated, among others. Some of the bottom-up construction
problems investigated in Volume II are as follows: How should
biomacromolecules, platforms, and scalable architectures be chosen
and synthesised in order to build programmable de novo biological
systems? What are the types of constrained optimisation problems
encountered in this process and how can these be solved
efficiently? As the eminent computer scientist Donald Knuth put it,
"biology easily has 500 years of exciting problems to work on".
This edited book presents but a small fraction of those for the
benefit of (1) systems and control theorists interested in
molecular and cellular biology and (2) biologists interested in
rigorous modelling, analysis and control of biological systems.
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