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008			140702s2014 ne | s |||| 0|eng d
020			_a9789401790475
024	7		_a10.1007/978-94-017-9047-5 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTA164 _b2014 EB
245	0	2	_aA Systems Theoretic Approach to Systems and Synthetic Biology II : _bAnalysis and Design of Cellular Systems _cedited by Vishwesh V. Kulkarni, Guy-Bart Stan, Karthik Raman.
264		1	_aDordrecht _bSpringer Netherlands _c2014.
300			_a1 recurso en línea (XVIII, 298 páginas) : _b107 ilustraciones, 77 ilustraciones en color
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
505	0		_a1 Network Biomarker Construction for Molecular Investigation and Diagnosis of Lung Cancervia Microarray Data -- 2 The Impact of Next Generation Sequencing Technology on Bacterial Genomics -- 3 Sensitivity Analysis of Circadian Entrainment in the Space of Phase Response Curves -- 4 Modelling and Analysis of Feedback Control Mechanisms Underlying Osmoregulation in Yeast -- 5 Analysis of Synchronizing Biochemical Networks via Incremental Dissipativity -- 6 Robustness Model Validation of Bistability in Biomolecular Systems -- 7 Meta-DNA: A DNA-Based Approach to Synthetic Biology -- 8 Towards Modeling Automation for Synthetic Biology -- 9 An Investigation of Signal Transduction and Irreversible Decision Making through Monostable and Bistable Switches -- 10 From Specification to Parameters: A Linearization Approach -- 11 Simplified Computational Design of Digital Synthetic Gene Circuits -- 12 Synthetic Biochemical Devices for Programmable Dynamic Behavior -- Index.
520			_aThe 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.
988			_aEBOOK, EBSPRINGER
650		7	_aIngeniería civil
650	2	4	_aSystems Biology _9133186
700	1		_aKulkarni, Vishwesh V. _eeditor _986371 _0Local
700	1		_aRaman, Karthik _eeditor _986373 _0Local
700	1		_aStan, Guy-Bart _eeditor _986372 _0Local
710	2		_aSpringerLink (Online service) _0Local _9106996
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-94-017-9047-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
907			_a.b12825700 _b10-10-17 _c01-10-14
942			_2lcc _cLE
945			_aR-RZ EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11554915 _z06-04-17
998			_b09/2018 _dz _ea _zSI