Binding Leverage as a Molecular Basis for Allosteric Regulation
2011

Binding Leverage in Allosteric Regulation

Sample size: 241 publication 10 minutes Evidence: high

Author Information

Author(s): Simon Mitternacht, Igor N. Berezovsky

Primary Institution: University of Bergen, Bergen, Norway

Hypothesis

Can binding leverage be used to predict functional and latent allosteric sites in proteins?

Conclusion

The study demonstrates that binding leverage can effectively predict allosteric and catalytic sites in proteins.

Supporting Evidence

  • Binding leverage can be calculated from a single crystal structure.
  • High binding leverage is found in both catalytic and allosteric sites.
  • Binding leverage helps in identifying latent allosteric sites.
  • Monte Carlo simulations provide a fast computational approach for predicting binding sites.
  • Dynamic information is crucial for predicting functional sites in proteins.

Takeaway

This study shows that certain spots on proteins can help control how they work, which is important for designing new medicines.

Methodology

Monte Carlo simulations were used to analyze binding sites and their coupling to protein dynamics.

Limitations

The study focused only on enzymes regulated by ligand binding and did not consider allostery due to other factors.

Digital Object Identifier (DOI)

10.1371/journal.pcbi.1002148

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