000 03851nam a22004935i 4500
001 978-1-4419-7964-3
003 DE-He213
005 20140220083726.0
007 cr nn 008mamaa
008 110106s2011 xxu| s |||| 0|eng d
020 _a9781441979643
_9978-1-4419-7964-3
024 7 _a10.1007/978-1-4419-7964-3
_2doi
050 4 _aQH301-705
072 7 _aPSA
_2bicssc
072 7 _aSCI086000
_2bisacsh
072 7 _aSCI064000
_2bisacsh
082 0 4 _a570
_223
100 1 _aDubitzky, Werner.
_eeditor.
245 1 0 _aUnderstanding the Dynamics of Biological Systems
_h[electronic resource] :
_bLessons Learned from Integrative Systems Biology /
_cedited by Werner Dubitzky, Jennifer Southgate, Hendrik Fuß.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Springer,
_c2011.
300 _aXIV, 238p. 120 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aPreface -- Effects of Protein Quality Control Machinery on Protein Homeostasis -- Metabolic Network Dynamics: Properties and Principles -- A Deterministic, Mathematical Model for Hormonal Control of the Menstrual Cycle -- Modelling Transport Processes and their Implications for Chemical Disposition and Action -- Systems Biology of Tuberculosis: Insights for Drug Discovery -- Qualitative Analysis of Genetic Regulatory Networks in Bacteria -- Modelling Antibiotic Resistance in Bacterial Colonies Using Agent-Based Approach -- Modelling the Spatial Pattern Forming Modules in Mitotic Spindle Assembly -- Cell-Centred Modelling of Tissue Behaviour -- Interaction-Based Simulations for Integrative Spatial Systems Biology -- Glossary -- Index.
520 _aSystems biology has risen as a direct result of the limitation of conventional (reductionistic) biology to understand complex phenomena emerging as a result of dynamic and multiscale biological interactions. By applying mathematical and computational models, systems biologists integrate the elementary processes into a coherent description that allows them to predict and characterize the systems-level properties and behavior of complex biological phenomena. As the field of systems biology matures, we are beginning to see practical answers to real biological problems. It is timely to step back and review the insight obtained from a systems biology approach by presenting an overview of current research. The book encompasses the key disciplines of biology, mathematics, and information technology that contribute to systems biology. It introduces some of the main methods and techniques of systems biology and assesses their contributions based on case studies. The biological phenomena investigated include tissue organization, hormonal control, bacterial stress response, tumor growth and cellular metabolism. Each chapter serves simultaneously as design blueprint, user guide, research agenda and communication platform. The book is targeted at an interdisciplinary audience consisting of students, teachers, researchers, developers, and practitioners in life science, mathematics, computer science and cognate areas.
650 0 _aLife sciences.
650 0 _aBioinformatics.
650 0 _aBiological models.
650 0 _aBiology
_xData processing.
650 1 4 _aLife Sciences.
650 2 4 _aSystems Biology.
650 2 4 _aBioinformatics.
650 2 4 _aComputer Appl. in Life Sciences.
700 1 _aSouthgate, Jennifer.
_eeditor.
700 1 _aFuß, Hendrik.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781441979636
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4419-7964-3
912 _aZDB-2-SBL
999 _c105901
_d105901