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008 150903s2010 xxk| o |||| 0|eng d
020 _a9781849962148
_99781849962148
024 7 _a10.1007/9781849962148
_2doi
035 _avtls000344659
039 9 _a201509030404
_bVLOAD
_c201405050310
_dVLOAD
_y201402061303
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aR856-857
100 1 _aChen, Luonan.
_eautor
_9321794
245 1 0 _aModeling Biomolecular Networks in Cells :
_bStructures and Dynamics /
_cby Luonan Chen, Ruiqi Wang, Chunguang Li, Kazuyuki Aihara.
264 1 _aLondon :
_bSpringer London,
_c2010.
300 _aApprox. 330 páginas 108 ilustraciones, 8 ilustraciones en color.
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
500 _aSpringer eBooks
505 0 _aDynamical Representations of Molecular Networks -- Deterministic Structures of Biomolecular Networks -- Qualitative Analysis of Deterministic Dynamical Networks -- Stability Analysis of Genetic Networks in Lur’e Form -- Design of Synthetic Switching Networks -- Design of Synthetic Oscillating Networks -- Multicellular Networks and Synchronization.
520 _aTaking ideas from nature has been a theme of humanity’s technological progress but it is only our newfound expertise in molecular manipulation and complex nonlinear dynamics that allows us the prospect of conscripting the building blocks of life as a means of furthering our abilities in circuits, systems and computers by the control of cellular networks. Modeling Biomolecular Networks in Cells shows how the interaction between the molecular components of basic living organisms can be modelled mathematically and the models used to create artificial biological entities within cells. Such forward engineering is a difficult task because of the ill-posed nature of the problems and because of the fundamental complexity of the interactions within even the most primitive biological cell. The nonlinear dynamical methods espoused in this book simplify the biology so that it can be successfully understood and the synthesis of simple biological oscillators and rhythm-generators made feasible. Such simple but, from an engineering point of view, unconventional units can then be co-ordinated using intercellular signal biomolecules. The formation of such man-made multicellular networks with a view to the production of biosensors, logic gates, new forms of integrated circuitry based on "gene-chips" and even biological computers is an important step in the design of faster and more flexible "electronics" for the future. The book also provides theoretical frameworks and tools with which to analyze the nonlinear dynamical phenomena, such as collective behaviour, which arise from the connection of building blocks in a biomolecular network. Researchers and graduate students from a variety of disciplines: engineering, applied mathematics, computer science and quantitative biology will find this book instructive and valuable. The text assumes a basic understanding of differential equations and the necessary molecular biology is dealt with chapter by chapter so only high-school biology is required.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aWang, Ruiqi.
_eautor
_9321795
700 1 _aLi, Chunguang.
_eautor
_9321796
700 1 _aAihara, Kazuyuki.
_eautor
_9321797
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9781849962131
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-84996-214-8
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c290840
_d290840