Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 266-279 |
| Number of pages | 14 |
| Journal | Briefings in Functional Genomics |
| Volume | 10 |
| Issue number | 5 |
| Early online date | 8 Sep 2011 |
| DOIs | |
| Publication status | Published - 2011 |
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Keywords
- systems biology
- mathematical model
- metabolism
- dynamic systems
- genome-scale networks
- constraint-based modelling
Cite this
Systems approaches to modelling pathways and networks. / Pfau, Thomas; Christian, Nils; Ebenhöh, Oliver.
In: Briefings in Functional Genomics, Vol. 10, No. 5, 2011, p. 266-279.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Systems approaches to modelling pathways and networks.
AU - Pfau, Thomas
AU - Christian, Nils
AU - Ebenhöh, Oliver
PY - 2011
Y1 - 2011
N2 - It has become commonly accepted that systems approaches to biology are of outstanding importance to gain understanding from the vast amount of data which is presently being generated by advancing high-throughput technologies. The diversity of methods to model pathways and networks has significantly expanded over the past two decades. Modern and traditional approaches are equally important and recent activities aim at integrating the advantages of both. While traditional methods, based on differential equations, are useful to study the dynamics of small systems, modern constraint-based models can be applied to genome-scale systems, but are not able to capture dynamic features. Integrating different approaches is important to develop consistent theoretical descriptions encompassing various scales of biological information. The rapid progress of the field of theoretical systems biology, however, demonstrates how our fundamental theoretical understanding of biology is gaining momentum. The scientific community has apparently accepted the challenge to truly understand the principles of life.
AB - It has become commonly accepted that systems approaches to biology are of outstanding importance to gain understanding from the vast amount of data which is presently being generated by advancing high-throughput technologies. The diversity of methods to model pathways and networks has significantly expanded over the past two decades. Modern and traditional approaches are equally important and recent activities aim at integrating the advantages of both. While traditional methods, based on differential equations, are useful to study the dynamics of small systems, modern constraint-based models can be applied to genome-scale systems, but are not able to capture dynamic features. Integrating different approaches is important to develop consistent theoretical descriptions encompassing various scales of biological information. The rapid progress of the field of theoretical systems biology, however, demonstrates how our fundamental theoretical understanding of biology is gaining momentum. The scientific community has apparently accepted the challenge to truly understand the principles of life.
KW - systems biology
KW - mathematical model
KW - metabolism
KW - dynamic systems
KW - genome-scale networks
KW - constraint-based modelling
U2 - 10.1093/bfgp/elr022
DO - 10.1093/bfgp/elr022
M3 - Article
VL - 10
SP - 266
EP - 279
JO - Briefings in Functional Genomics
JF - Briefings in Functional Genomics
SN - 2041-2649
IS - 5
ER -