This is the authors' abstract. We don't add key points for this paper.
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.
Answers are grounded in this paper and cite their sources.
No takes yet. Share an insight, caveat, or question.
Przytycka et al. (2010) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: