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Cited by 254

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Toward the dynamic interactome: it's about time

Open access
Przytycka, T. M., Singh, M., Slonim, D. K.·2010·Briefings in Bioinformatics

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.

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Metadata

Authors
Przytycka, T. M., Singh, M., & Slonim, D. K.
Venue
Briefings in Bioinformatics
Published
2010-01-01
Volume
11
Issue
1
Pages
15-29
ISSN
  • 1467-5463 (ISSN-L)
  • 1477-4054
OpenAlex
W2162032011
Cited by
254
References
21
FWCI
8.51
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Toward the dynamic interactome: it's about time. https://app.cochat.ai/papers/10.1093/bib/bbp057
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Przytycka, T. M., Singh, M., & Slonim, D. K. (2010). Toward the dynamic interactome: it's about time. Briefings in Bioinformatics. https://doi.org/10.1093/bib/bbp057

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.