Information theoretical quantification of cooperativity in signalling complexes
2009

Understanding Protein Cooperativity in Signaling Complexes

publication Evidence: moderate

Author Information

Author(s): Lenaerts Tom, Ferkinghoff-Borg Jesper, Schymkowitz Joost, Rousseau Frederic

Primary Institution: Vrije Universiteit Brussel

Hypothesis

Can Shannon's mutual information quantify cooperativity in biological signaling complexes?

Conclusion

The study provides a new framework for analyzing cooperativity in macromolecular complexes, showing how protein concentrations affect information exchange.

Supporting Evidence

  • The study shows that protein complexes can be modeled as noisy communication channels.
  • It quantifies how protein concentrations affect the efficiency of information exchange.
  • The framework allows for the visualization of network cooperativity in biological systems.

Takeaway

This study looks at how proteins work together in cells and how we can measure their teamwork using information theory.

Methodology

The study uses Shannon's mutual information to analyze protein interactions and quantify cooperativity in signaling pathways.

Limitations

The analysis is based on steady-state information and may not account for dynamic changes in protein concentrations.

Digital Object Identifier (DOI)

10.1186/1752-0509-3-9

Want to read the original?

Access the complete publication on the publisher's website

View Original Publication