000 | 03257nam a22005055i 4500 | ||
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001 | u377205 | ||
003 | SIRSI | ||
005 | 20160812084451.0 | ||
007 | cr nn 008mamaa | ||
008 | 101211s2011 ja | s |||| 0|eng d | ||
020 |
_a9784431538806 _9978-4-431-53880-6 |
||
040 | _cMX-MeUAM | ||
050 | 4 | _aR856-857 | |
082 | 0 | 4 |
_a610.28 _223 |
100 | 1 |
_aNomura, Taishin. _eeditor. |
|
245 | 1 | 0 |
_aHarnessing Biological Complexity _h[recurso electrónico] : _bAn Introduction to Computational Physiology / _cedited by Taishin Nomura, Yoshiyuki Asai. |
264 | 1 |
_aTokyo : _bSpringer Japan : _bImprint: Springer, _c2011. |
|
300 |
_aX, 190p. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aA First Course in “In Silico Medicine” ; _v1 |
|
505 | 0 | _aI. Introduction -- II. Modeling Cellular Dynamics -- III. Dynamics of Cellular Networks -- IV. Application of ISIDE to Create Models -- V. Key Consepts of insilicoML. | |
520 | _aThe challenge for the biosciences in the twenty-first century is to integrate genome sequencing information into a better understanding of biology, physiology, and human pathology. Such attempts at integration are moving the world toward a new generation of bioscience and bioengineering, where biological, physiological, and pathological information from humans and other living animals can be quantitatively described in silico across multiple scales of time and size and through diverse hierarchies of organization — from molecules to cells and organs, to individuals. To "harness" such complexity, international communities of integrative bioscientists and bioengineers aim to establish frameworks and information infrastructures for describing biological structures and physiological functions on multiple scales of time and space. This textbook includes a public platform to describe physiological functions using mathematical equations and guides the reader to perform mathematical modeling and computer simulations, to combine existing models as well as to create new models. Accessible to biologists, physiologists, and students of the sciences, with illustrative details provided when necessary, this book seeks to achieve a systematic way of harnessing biological complexity. Sharing the databases among communities worldwide will help to find comprehensive answers to all the important questions. | ||
650 | 0 | _aEngineering. | |
650 | 0 | _aMedicine. | |
650 | 0 | _aBiochemistry. | |
650 | 0 | _aPhysics. | |
650 | 0 | _aBiomedical engineering. | |
650 | 1 | 4 | _aEngineering. |
650 | 2 | 4 | _aBiomedical Engineering. |
650 | 2 | 4 | _aComplexity. |
650 | 2 | 4 | _aMolecular Medicine. |
650 | 2 | 4 | _aMedicinal Chemistry. |
700 | 1 |
_aAsai, Yoshiyuki. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9784431538790 |
830 | 0 |
_aA First Course in “In Silico Medicine” ; _v1 |
|
856 | 4 | 0 |
_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-4-431-53880-6 |
596 | _a19 | ||
942 | _cLIBRO_ELEC | ||
999 |
_c205085 _d205085 |