Contribution to collective works (Parts of books)
Computational modeling of human metabolism and its application to systems biomedicine
Aurich, Maike Kathrin; Thiele, Ines
2015In Wolkenhauer, Olaf; Schmitz, Ulf (Eds.) Systems Medicine
 

Files


Full Text
Aurich - Computational modeling of human metabolism.pdf
Author preprint (1.94 MB)
Request a copy

All documents in ORBilu are protected by a user license.

Send to



Details



Keywords :
Systems biology; constraint-based modeling; personalized health; metabolomics; OMICS; COBRA; flux balance analysis; cancer metabolism; human disease; personalized models
Abstract :
[en] Modern high-throughput techniques offer immense opportunities to investigate whole-systems behavior, such as those underlying human diseases. However, the complexity of the data presents challenges in interpretation, and new avenues are needed to address the complexity of both diseases and data. Constraint-based modeling is one formalism applied in systems biology. It relies on a genome-scale reconstruction that captures extensive biochemical knowledge regarding an organism. The human genome-scale metabolic reconstruction is increasingly used to understand normal cellular and disease states because metabolism is an important factor in many human diseases. The application of human genome-scale reconstruction ranges from mere querying of the model as a knowledge-base to studies that take advantage of the model’s topology, and most notably, to functional predictions based on cell- and condition-specific metabolic models built based on omics data. An increasing number and diversity of biomedical questions are being addressed using constraint-based modeling and metabolic models. One of the most successful biomedical applications to date is cancer metabolism, but constraint-based modeling also holds great potential for inborn errors of metabolism or obesity. In addition, it offers great prospects for individualized approaches to diagnostics and the design of disease prevention and intervention strategies. Metabolic models support this endeavor by providing easy access to complex high-throughput datasets. Personalized metabolic models have been introduced. Finally, constraint-based modeling can be used to model whole-body metabolism, which will enable the elucidation of metabolic interactions between organs and disturbances of these interactions as either causes or consequence of metabolic diseases. This chapter introduces constraint-based modeling and describes some of its contributions to systems biomedicine.
Research center :
Luxembourg Centre for Systems Biomedicine (LCSB): Molecular Systems Physiology (Thiele Group)
Disciplines :
Biochemistry, biophysics & molecular biology
Author, co-author :
Aurich, Maike Kathrin ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
Thiele, Ines ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
External co-authors :
yes
Language :
English
Title :
Computational modeling of human metabolism and its application to systems biomedicine
Publication date :
15 December 2015
Main work title :
Systems Medicine
Editor :
Wolkenhauer, Olaf
Schmitz, Ulf
Publisher :
Springer
ISBN/EAN :
978-1-4939-3282-5
Funders :
ATTRACT program grant (FNR/A12/01) from the Luxembourg National Research Fund (FNR)
Available on ORBilu :
since 06 November 2015

Statistics


Number of views
272 (17 by Unilu)
Number of downloads
3 (2 by Unilu)

Scopus citations®
 
23
Scopus citations®
without self-citations
12
OpenCitations
 
32

Bibliography


Similar publications



Contact ORBilu