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001 | 295214 | ||
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007 | cr nn 008mamaa | ||
008 | 150903s2005 gw | o |||| 0|eng d | ||
020 |
_a9783540314530 _99783540314530 |
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024 | 7 |
_a10.1007/b95175 _2doi |
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035 | _avtls000347684 | ||
039 | 9 |
_a201509030440 _bVLOAD _c201405070517 _dVLOAD _y201402070937 _zstaff |
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040 |
_aMX-SnUAN _bspa _cMX-SnUAN _erda |
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050 | 4 | _aQH324.2-324.25 | |
100 | 1 |
_aAlberghina, Lila. _eeditor. _9329448 |
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245 | 1 | 0 |
_aSystems Biology : _bDefinitions and Perspectives / _cedited by Lila Alberghina, H.V. Westerhoff. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2005. |
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300 |
_axvii, 408 páginas _brecurso en línea. |
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336 |
_atexto _btxt _2rdacontent |
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337 |
_acomputadora _bc _2rdamedia |
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338 |
_arecurso en línea _bcr _2rdacarrier |
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347 |
_aarchivo de texto _bPDF _2rda |
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490 | 0 |
_aTopics in Current Genetics, _x1610-2096 ; _v13 |
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500 | _aSpringer eBooks | ||
505 | 0 | _aSystems Biology of Apoptosis -- Mathematical Modeling of the Wnt-Pathway -- Modeling Signaling Pathways – A Yeast Approach -- Mechanistic and Modular Approaches to Modeling and Inference of Cellular Regulatory Networks -- Scientific and Technical Challenges for Systems Biology -- Integration of Metabolic and Signaling Networks -- From Isolation to Integration, a Systems Biology Approach for Building the Silicon Cell -- What’s Systems Biology: From Genes to Function and Back -- Systems Biology: Recent Developments and New Trends -- A Modular Systems Biology Analysis of the Cell Cycle Entrance into S Phase -- Metabolic Control Analysis -- Mesoscopic Kinetics and its Applications in Protein Synthesis -- E. coli Glycolysis -- Kinetic Modeling of the E. coli Metabolism -- No Music without Melody: How to Understand Biochemical Systems by Understanding Their Dynamics -- Systems Biology of the Yeast Cell Cycle Engine -- Quantification of in vivo Molecular Fluxes: A Key Methodology for Metabolic Systems Biology.-Modeling the E. coli cell: The Need for Computing, Cooperation, and Consortia. | |
520 | _aFor life to be understood and disease to become manageable, the wealth of postgenomic data now needs to be made dynamic. This development requires systems biology, integrating computational models for cells and organisms in health and disease; quantitative experiments (high-throughput, genome-wide, living cell, in silico); and new concepts and principles concerning interactions. This book defines the new field of systems biology and discusses the most efficient experimental and computational strategies. The benefits for industry, such as the new network-based drug-target design validation, and testing, are also presented. | ||
590 | _aPara consulta fuera de la UANL se requiere clave de acceso remoto. | ||
700 | 1 |
_aWesterhoff, H.V. _eeditor. _9329449 |
|
710 | 2 |
_aSpringerLink (Servicio en línea) _9299170 |
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776 | 0 | 8 |
_iEdición impresa: _z9783540229681 |
856 | 4 | 0 |
_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/b95175 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL) |
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