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  A Unifying Probabilistic Framework for Analyzing Residual Dipolar Couplings

Habeck, M., Nilges, M., & Rieping, W. (2008). A Unifying Probabilistic Framework for Analyzing Residual Dipolar Couplings. Journal of Biomolecular NMR, 40(2), 135-144. doi:10.1007/s10858-007-9215-1.

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Habeck, M1, 2, 3, Author           
Nilges, M, Author
Rieping, W, Author
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              
3Max Planck Institute for Developmental Biology, Max Planck Society, Max-Planck-Ring 5, 72076 Tübingen, DE, ou_2421691              

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 Abstract: Residual dipolar couplings provide complementary information to the nuclear Overhauser effect measurements that are traditionally used in biomolecular structure determination by NMR. In a de novo structure determination, however, lack of knowledge about the degree and orientation of molecular alignment complicates the analysis of dipolar coupling data. We present a probabilistic framework for analyzing residual dipolar couplings and demonstrate that it is possible to estimate the atomic coordinates, the complete molecular alignment tensor, and the error of the couplings simultaneously. As a by-product, we also obtain estimates of the uncertainty in the coordinates and the alignment tensor. We show that our approach encompasses existing methods for determining the alignment tensor as special cases, including least squares estimation, histogram fitting, and elimination of an explicit alignment tensor in the restraint energy.

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 Dates: 2008-02
 Publication Status: Issued
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 Rev. Type: -
 Identifiers: DOI: 10.1007/s10858-007-9215-1
BibTex Citekey: 4905
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Title: Journal of Biomolecular NMR
  Abbreviation : J. Biomol. NMR
Source Genre: Journal
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Publ. Info: Dordrecht, The Netherlands : Springer Science+Business Media
Pages: - Volume / Issue: 40 (2) Sequence Number: - Start / End Page: 135 - 144 Identifier: ISSN: 0925-2738
CoNE: https://pure.mpg.de/cone/journals/resource/954925566734