000 03966nam a22004935i 4500
001 978-1-4614-3567-9
003 DE-He213
005 20140220083248.0
007 cr nn 008mamaa
008 120720s2012 xxu| s |||| 0|eng d
020 _a9781461435679
_9978-1-4614-3567-9
024 7 _a10.1007/978-1-4614-3567-9
_2doi
050 4 _aQH301-705
072 7 _aPSA
_2bicssc
072 7 _aSCI086000
_2bisacsh
072 7 _aSCI064000
_2bisacsh
082 0 4 _a570
_223
100 1 _aSoyer, Orkun S.
_eeditor.
245 1 0 _aEvolutionary Systems Biology
_h[electronic resource] /
_cedited by Orkun S. Soyer.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Springer,
_c2012.
300 _aX, 455 p. 89 illus., 62 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aAdvances in Experimental Medicine and Biology,
_x0065-2598 ;
_v751
505 0 _aPreface -- Evolutionary Systems Biology: Historical and Philosophical Persepctives on an Emerging Synthesis -- Metabolic Networks and their Evolution -- Organization Principles and their Evolution -- Organization principles in genetic interaction networks -- Evolution of regulatory networks: Nematode vulva induction as an example of developmental systems drift -- Life’s attractors understanding developmental systems through reverse engineering and in silico evolution -- Evolutionary characteristics of bacterial two-component systems -- Comparative interaction networks - bridging genotype to phenotype -- Evolution in silico: from network structure to bifurcation theory -- On the search for design principles in biological systems -- Towards a theory of multilevel evolution; long term information integration shapes the mutational landscape and enhances evolvability -- Evolutionary principles underlying structure and response dynamics of cellular networks -- Phenotypic plasticity and robustness: Evolutionary stability theory, gene expression dynamics model, and laboratory experiments -- Genetic redundancies and their evolutionary maintenance -- Evolution of resource and energy management in biologically realistic gene regulatory network models -- Reverse ecology: From systems to environments and back -- Bacteria-virus coevolution -- The genotype-phenotype maps of systems biology and quantitative genetics: distinct and complementary -- How evolutionary systems biology will help understand adaptive landscapes and distributions of mutational effects -- Building synthetic systems to learn Nature’s design principles -- The robustness continuum -- Index.
520 _aThe book aims to introduce the reader to the emerging field of Evolutionary Systems Biology, which approaches classical systems biology questions within an evolutionary framework. An evolutionary approach might allow understanding the significance of observed diversity, uncover “evolutionary design principles” and extend predictions made in model organisms to others. In addition, evolutionary systems biology can generate new insights into the adaptive landscape by combining molecular systems biology models and evolutionary simulations. This insight can enable the development of more detailed mechanistic evolutionary hypotheses.
650 0 _aLife sciences.
650 0 _aMedicine.
650 0 _aBiological models.
650 0 _aEvolution (Biology).
650 1 4 _aLife Sciences.
650 2 4 _aSystems Biology.
650 2 4 _aEvolutionary Biology.
650 2 4 _aBiomedicine general.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781461435662
830 0 _aAdvances in Experimental Medicine and Biology,
_x0065-2598 ;
_v751
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4614-3567-9
912 _aZDB-2-SBL
999 _c101396
_d101396