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Towards a General Probabilistic Model of Protein Structure: The Reference Ratio Method

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Bayesian Methods in Structural Bioinformatics

Part of the book series: Statistics for Biology and Health ((SBH))

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.

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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).

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Correspondence to Jes Frellsen .

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© 2012 Springer-Verlag Berlin Heidelberg

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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

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