Abstract
Dynamic molecular interactions play a central role in regulating the functioning of cells and organisms. The availability of experimentally determined large-scale cellular networks, along with other high-throughput experimental data sets that provide snapshots of biological systems at different times and conditions, is increasingly helpful in elucidating interaction dynamics. Here we review the beginnings of a new subfield within computational biology, one focused on the global inference and analysis of the dynamic interactome. This burgeoning research area, which entails a shift from static to dynamic network analysis, promises to be a major step forward in our ability to model and reason about cellular function and behavior. Published by Oxford University Press. For Permissions, please email: [email protected].
Original language | English (US) |
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Article number | bbp057 |
Pages (from-to) | 15-29 |
Number of pages | 15 |
Journal | Briefings in Bioinformatics |
Volume | 11 |
Issue number | 1 |
DOIs | |
State | Published - Jan 8 2010 |
Externally published | Yes |
All Science Journal Classification (ASJC) codes
- Information Systems
- Molecular Biology
Keywords
- Interaction networks
- Network analysis
- Network dynamics
- Systems biology