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| Reference : Systems Biology Approaches to the Study of Apoptosis |
| Parts of books : Contribution to collective works | |||
| Life sciences : Multidisciplinary, general & others | |||
| http://hdl.handle.net/2268/19667 | |||
| Systems Biology Approaches to the Study of Apoptosis | |
| English | |
| Huber, Heinrich [ > > ] | |
Bullinger, Eric  [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Méthodes computationnelles pour la biologie systémique >] | |
| Rehm, Markus [ > > ] | |
| 1-Jul-2009 | |
| Essentials of Apoptosis, 2nd Edition | |
| Yin, Xiao-Ming | |
| Dong, Zheng | |
| Humana press | |
| 283-297 | |
| 978-1-60327-380-0 | |
| [en] apoptosis ; systems biology ; computational modeling ; caspases ; inhibitor-of-apoptosis proteins ; death receptors ; mitochondrial outer membrane permeabilization ; apoptosome | |
| [en] Today, we can avail of comprehensive information on the molecular
mechanisms of apoptosis signaling that was gathered during decades of intense research. This chapter presents how mathematical approaches in the field of cellular signaling are used to integrate this complex and heterogeneous information into computational models with the aim to elucidate the functional properties of apopto- tic signaling networks. Mathematical modeling allows one to describe properties of signaling systems that emanate from the interplay of the system’s individual compo- nents and has a longstanding and successful history in the fields of physics, chemistry, and their applied engineering sciences. Systems analyses can serve to describe and identify signaling dynamics,molecular switches, thresholds, and feedback regulatory mechanisms and allow systems properties such as stability and robustness toward external perturbations to be identified. Crucially, systems analyses can also serve to generate novel qualitative and quantitative research hypotheses, which in turn allow for more focused experimental research approaches. This chapter provides a concise and critical overview on the current state of systems biology in the field of apoptotic signaling and the methodology employed. | |
| Health Research Board Ireland (RP/2006/258) ; Science Foundation Ireland (07/RFP/BICF601) ; Siemens Ireland ; Image to Mathematical Modelling Transition Core of the Irish National Biophotonics and Imaging Platform (HEA PRTLI Cycle 4) ; EU Framework Programme 7 (APO-SYS) | |
| Researchers ; Professionals ; Students | |
| http://hdl.handle.net/2268/19667 | |
| 10.1007/978-1-60327-381-7_12 |
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