Literature DB >> 15522352

Mathematical aspects of protein structure determination with NMR orientational restraints.

J R Quine1, Timothy A Cross, Michael S Chapman, Richard Bertram.   

Abstract

The field of structural biology is becoming increasingly important as new technological developments facilitate the collection of data on the atomic structures of proteins and nucleic acids. The solid-state NMR method is a relatively new biophysical technique that holds particular promise for determining the structures of peptides and proteins that are located within the cell membrane. This method provides information on the orientation of the peptide planes relative to an external magnetic field. In this article, we discuss some of the mathematical methods and tools that are useful in deriving the atomic structure from these orientational data. We first discuss how the data are viewed as tensors, and how these tensors can be used to construct an initial atomic model, assuming ideal stereochemistry. We then discuss methods for refining the models using global optimization, with stereochemistry constraints treated as penalty functions. These two processes, initial model building followed by refinement, are the two crucial steps between data collection and the final atomic model.

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Year:  2004        PMID: 15522352     DOI: 10.1016/j.bulm.2004.03.006

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  5 in total

1.  Uniformly aligned full-length membrane proteins in liquid crystalline bilayers for structural characterization.

Authors:  Conggang Li; Philip Gao; Huajun Qin; Rose Chase; Peter L Gor'kov; William W Brey; Timothy A Cross
Journal:  J Am Chem Soc       Date:  2007-04-04       Impact factor: 15.419

2.  Sensitivity enhancement of separated local field experiments: application to membrane proteins.

Authors:  T Gopinath; Raffaello Verardi; Nathaniel J Traaseth; Gianluigi Veglia
Journal:  J Phys Chem B       Date:  2010-04-22       Impact factor: 2.991

3.  Improved Resolution in Dipolar NMR Spectra Using Constant Time Evolution PISEMA Experiment.

Authors:  T Gopinath; Gianluigi Veglia
Journal:  Chem Phys Lett       Date:  2010-07-09       Impact factor: 2.328

4.  Statistics and topology of fluctuating ribbons.

Authors:  Ee Hou Yong; Farisan Dary; Luca Giomi; L Mahadevan
Journal:  Proc Natl Acad Sci U S A       Date:  2022-08-02       Impact factor: 12.779

5.  Differential geometric analysis of alterations in MH α-helices.

Authors:  Birgit Hischenhuber; Hans Havlicek; Jelena Todoric; Sonja Höllrigl-Binder; Wolfgang Schreiner; Bernhard Knapp
Journal:  J Comput Chem       Date:  2013-05-24       Impact factor: 3.376

  5 in total

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