Abstract
The recently introduced reference ratio method[276] allows combining distributions over fine-grained variables with distributions over coarse-grained variables in a meaningful way. This problem is a major bottleneck in the prediction, simulation and design of protein structure and dynamics. Hamelryck et al. [276] introduced the reference ratio method in this context, and showed that the method provides a rigorous statistical explanation of the so called potentials of mean force(PMFs). These potentials are widely used in protein structure prediction and simulation, but their physical justification is highly disputed [32, 390, 715]. The reference ratio method clarifies, justifies and extends the scope of these potentials.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Acknowledgements
The authors acknowledge funding by the Danish Research Council for Technology and Production Sciences (FTP, project: Protein structure ensembles from mathematical models, 09-066546).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Frellsen, J., Mardia, K.V., Borg, M., Ferkinghoff-Borg, J., Hamelryck, T. (2012). Towards a General Probabilistic Model of Protein Structure: The Reference Ratio Method. In: Hamelryck, T., Mardia, K., Ferkinghoff-Borg, J. (eds) Bayesian Methods in Structural Bioinformatics. Statistics for Biology and Health. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27225-7_4
Download citation
DOI: https://doi.org/10.1007/978-3-642-27225-7_4
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27224-0
Online ISBN: 978-3-642-27225-7
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)