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Use of Inverse Theory Algorithms in the Analysis of Biomembrane NMR Data

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Methods in Membrane Lipids

Part of the book series: Methods in Molecular Biology™ ((MIMB,volume 400))

Abstract

Treating the analysis of experimental spectroscopic data as an inverse problem and using regularization techniques to obtain stable pseudoinverse solutions, allows access to previously unavailable level of spectroscopic detail. The data is mapped into an appropriate physically relevant parameter space, leading to better qualitative and quantitative understanding of the underlying physics, and in turn, to better and more detailed models. A brief survey of relevant inverse methods is illustrated by several successful applications to the analysis of nuclear magnetic resonance data, yielding new insight into the structure and dynamics of biomembrane lipids.

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Notes

  1. 1.

    *

    When the limits of integration are fixed as appropriate for the majority of problems of practical interest, this is the so-called Fredholm integral equation (FIE) of the first kind.

  2. 2.

    ?

    Eqs. 4 and 5, and covers all forms of the regularization functional.

  3. 3.

    *

    1-steroyl-2-docosahexaenoyl-sn-glycero-3-phosphocholine.

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Author information

Authors and Affiliations

  1. Department of Physics, Brock University, St. Catharines, Ontario, Canada

    Edward Sternin

Authors
  1. Edward Sternin
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Editor information

Editors and Affiliations

  1. Department of Pharmacology, The University of Tennessee Health Science Center, Memphis, TN

    Alex M. Dopico

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© 2007 Humana Press Inc.

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Sternin, E. (2007). Use of Inverse Theory Algorithms in the Analysis of Biomembrane NMR Data. In: Dopico, A.M. (eds) Methods in Membrane Lipids. Methods in Molecular Biology™, vol 400. Humana Press. https://doi.org/10.1007/978-1-59745-519-0_8

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  • DOI: https://doi.org/10.1007/978-1-59745-519-0_8

  • Publisher Name: Humana Press

  • Print ISBN: 978-1-58829-662-7

  • Online ISBN: 978-1-59745-519-0

  • eBook Packages: Springer Protocols

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