Biology – Quantitative Biology – Molecular Networks
Scientific paper
2008-07-02
Trends in Biochemical Sciences (2008) 33, 569-576
Biology
Quantitative Biology
Molecular Networks
This contribution extends the content of a Nature Journal Club paper (Nature 454:5) having 10 pages, 1 Figure and 50 reference
Scientific paper
10.1016/j.tibs.2008.09.006
Active centres and hot spots of proteins have a paramount importance in enzyme action, protein complex formation and drug design. Recently a number of publications successfully applied the analysis of residue networks to predict active centres in proteins. Most real-world networks show a number of properties, such as small-worldness or scale-free degree distribution, which are rather general features of networks, from molecules to society at large. Using analogy I propose that existing findings and methodology already enable us to detect active centres in cells, and can be expanded to social networks and ecosystems. Members of these active centres are termed here as creative elements of their respective networks, which may help them to survive unprecedented, novel challenges, and play a key role in the development, survival and evolvability of complex systems.
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