IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-1-4614-5128-0_8.html
   My bibliography  Save this book chapter

Distance Geometry Methods for Protein Structure Determination

In: Distance Geometry

Author

Listed:
  • Zachary Voller

    (Iowa State University, Department of Mathematics)

  • Zhijun Wu

    (Iowa State University, Department of Mathematics)

Abstract

We review some recent advances for solving the distance geometry (DG) problems for protein structure determination. We focus on the development of a geometric buildup approach to the problems with sparse but exact distances and on the formulation of a generalized DG problem for the determination of structural ensembles with inexact distances or distance bounds. We describe the novel ideas of these approaches, show their potentials for the solution of large-scale problems in practice, and discuss their possible future developments. For some historical background, we also provide a brief introduction to the classical matrix decomposition method, the embedding algorithm, and the global smoothing algorithm for the solution of the DG problems with exact and inexact distances. Many other methods have been developed. We will not cover them all, but refer the readers to a list of papers, hoping to provide the readers with a relatively complete knowledge of the field.

Suggested Citation

  • Zachary Voller & Zhijun Wu, 2013. "Distance Geometry Methods for Protein Structure Determination," Springer Books, in: Antonio Mucherino & Carlile Lavor & Leo Liberti & Nelson Maculan (ed.), Distance Geometry, edition 127, chapter 0, pages 139-159, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4614-5128-0_8
    DOI: 10.1007/978-1-4614-5128-0_8
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-1-4614-5128-0_8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.