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 I provides a panoramic view
that illustrates the potential of such mathematical methods in
systems and synthetic biology. Recent advances in systems and
synthetic biology have clearly demonstrated the benefits of a
rigorous and systematic approach rooted in the principles of
systems and control theory - not only does it lead to exciting
insights and discoveries but it also reduces the inordinately
lengthy trial-and-error process of wet-lab experimentation, thereby
facilitating significant savings in human and financial resources.
In Volume I, some of the leading researchers in the field of
systems and synthetic biology demonstrate how systems and control
theoretic concepts and techniques can be useful, or should evolve
to be useful, in order to understand how biological systems
function. 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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