Abstract
Several technical, social, and biological networks were recently found to demonstrate scale-free and small-world behavior instead of random graph characteristics. In this work, the topology of protein domain networks generated with data from the ProDom, Pfam, and Prosite domain databases was studied. It was found that these networks exhibited small-world and scale-free topologies with a high degree of local clustering accompanied by a few long-distance connections. Moreover, these observations apply not only to the complete databases, but also to the domain distributions in proteomes of different organisms. The extent of connectivity among domains reflects the evolutionary complexity of the organisms considered.
Keywords
Affiliated Institutions
Related Publications
Consensus and Cooperation in Networked Multi-Agent Systems
<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> This paper provides a theoretical framework for analysis of consensus algorithms...
FANMOD: a tool for fast network motif detection
Abstract Summary: Motifs are small connected subnetworks that a network displays in significantly higher frequencies than would be expected for a random network. They have recen...
Overlapping Communities Explain Core–Periphery Organization of Networks
Networks provide a powerful way to study complex systems of interacting objects. Detecting network communities-groups of objects that often correspond to functional modules-is c...
Leader-to-Formation Stability
The paper investigates the stability properties of mobile agent formations which are based on leader following. We derive nonlinear gain estimates that capture how leader behavi...
The STRING database in 2021: customizable protein–protein networks, and functional characterization of user-uploaded gene/measurement sets
Abstract Cellular life depends on a complex web of functional associations between biomolecules. Among these associations, protein–protein interactions are particularly importan...
Publication Info
- Year
- 2001
- Type
- article
- Volume
- 18
- Issue
- 9
- Pages
- 1694-1702
- Citations
- 257
- Access
- Closed
External Links
Social Impact
Social media, news, blog, policy document mentions
Citation Metrics
Cite This
Identifiers
- DOI
- 10.1093/oxfordjournals.molbev.a003957