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9 - Networks

Published online by Cambridge University Press:  05 October 2014

Kim Sneppen
Affiliation:
Niels Bohr Institutet, Copenhagen
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Summary

Convergent computation

The examples of small networks in previous chapters typically consisted of two to three proteins, which together sensed and governed one particular function in a living system. In this and the next chapter we will zoom out and view larger-scale network properties, with the guiding perspective that these networks, in the end, form some functional coherent whole. Figure 9.1 illustrates this main philosophy by showing the regulatory network of two evolutionarily unrelated temperate phages, the enterobacteria phage 186 and the λ phage. Apart from having different numbers of proteins in the outer parts of the networks, the two networks look remarkably similar. Thus, the functional requirement over-rides the randomness of evolution: convergent evolution has directed both phages to the same “computational” design.

The visual similarity of the two networks shown in Fig. 9.1 can be formalized using a network alignment algorithm [157], a comparison that is based entirely on the wiring diagram and the sign of the regularity links. These signs are indicated by different colored links, with green links referring to activation of the production of one protein due to the activity of another, and red links to an inhibition of the downstream protein.

Importantly, in order to align the networks, one needs to take into account indirect regulation, where one identifies a repression of a repression with an activating link.

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Chapter
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Models of Life
Dynamics and Regulation in Biological Systems
, pp. 177 - 204
Publisher: Cambridge University Press
Print publication year: 2014

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  • Networks
  • Kim Sneppen, Niels Bohr Institutet, Copenhagen
  • Book: Models of Life
  • Online publication: 05 October 2014
  • Chapter DOI: https://doi.org/10.1017/CBO9781107449442.010
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  • Networks
  • Kim Sneppen, Niels Bohr Institutet, Copenhagen
  • Book: Models of Life
  • Online publication: 05 October 2014
  • Chapter DOI: https://doi.org/10.1017/CBO9781107449442.010
Available formats
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Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Networks
  • Kim Sneppen, Niels Bohr Institutet, Copenhagen
  • Book: Models of Life
  • Online publication: 05 October 2014
  • Chapter DOI: https://doi.org/10.1017/CBO9781107449442.010
Available formats
×