Dokument: Merits and Limits of Biological Systems Modeling Strategies
| Titel: | Merits and Limits of Biological Systems Modeling Strategies | |||||||
| URL für Lesezeichen: | https://docserv.uni-duesseldorf.de/servlets/DocumentServlet?id=62099 | |||||||
| URN (NBN): | urn:nbn:de:hbz:061-20230403-140112-6 | |||||||
| Kollektion: | Dissertationen | |||||||
| Sprache: | Englisch | |||||||
| Dokumententyp: | Wissenschaftliche Abschlussarbeiten » Dissertation | |||||||
| Medientyp: | Text | |||||||
| Autor: | Heramvand, Nadia [Autor] | |||||||
| Dateien: |
| |||||||
| Beitragende: | Prof. Dr. Kollmann, Markus [Gutachter] Prof. Dr. Lercher, Martin [Gutachter] | |||||||
| Dewey Dezimal-Klassifikation: | 500 Naturwissenschaften und Mathematik » 570 Biowissenschaften; Biologie | |||||||
| Beschreibung: | A biological system is a group of relevant components on different scales, such as genes, cells, or body organs that work together to fulfill a particular task. The components of a biological system are connected through complex interactions and exhibit a collective behavior that belongs to the system and not to each component on its own. Understanding the function of such a complex system is a great challenge and requires advanced experiments and computations. There are two approaches to analyzing a biological system. The first one is the reductionist view, which explains the whole system by studying each component separately. One of the significant drawbacks of reductionism is that it misses the interactions between the components and therefore, is not able to explain the collective behavior that belongs to the whole system and not each component. On the other hand, a second approach is a system approach, which considers a biological system as an integrated system and studies how the components interact and work together. Such an integrated system can be considered as a network of interacting individual components. On this basis, systems biology aims to infer and model the underlying network. Therefore, understanding a biological system requires complete sets of experiments to uncover the underlying relations between the components, and for a highly complex system such as the human body, it is not possible to examine each component.
This thesis takes the systems approach. Chapter 2 explains how the complex structure of a biological system together with insufficient experiments limit the inference of the biological network. Chapter 3,4 simplify the human body and represent it as compartments to describe the kinetics of two anticoagulation drugs in the body. Overall, the present study suggests that, before the start of the modeling, based on the complexity level of the problem and the available data, an optimal scale should be chosen. This means, in the case of a highly complex system and lack of enough information, a useful and informative approach is reducing unnecessary details and decomposing the system into simpler subsystems (compartments), and seeing how these subsystems work together. | |||||||
| Lizenz: |  Dieses Werk ist lizenziert unter einer Creative Commons Namensnennung 4.0 International Lizenz | |||||||
| Fachbereich / Einrichtung: | Mathematisch- Naturwissenschaftliche Fakultät | |||||||
| Dokument erstellt am: | 03.04.2023 | |||||||
| Dateien geändert am: | 03.04.2023 | |||||||
| Promotionsantrag am: | 08.06.2022 | |||||||
| Datum der Promotion: | 28.09.2022 |
