Open Access

State-of-the-art bioinformatics protein structure prediction tools (Review)

  • Authors:
    • Athanasia Pavlopoulou
    • Ioannis Michalopoulos
  • View Affiliations

  • Published online on: May 23, 2011     https://doi.org/10.3892/ijmm.2011.705
  • Pages: 295-310
Metrics: Total Views: 0 (Spandidos Publications: | PMC Statistics: )
Total PDF Downloads: 0 (Spandidos Publications: | PMC Statistics: )


Abstract

Knowledge of the native structure of a protein could provide an understanding of the molecular basis of its function. However, in the postgenomics era, there is a growing gap between proteins with experimentally determined structures and proteins without known structures. To deal with the overwhelming data, a collection of automated methods as bioinformatics tools which determine the structure of a protein from its amino acid sequence have emerged. The aim of this paper is to provide the experimental biologists with a set of cutting-edge, carefully evaluated, user-friendly computational tools for protein structure prediction that would be helpful for the interpretation of their results and the rational design of new experiments.

Related Articles

Journal Cover

September 2011
Volume 28 Issue 3

Print ISSN: 1107-3756
Online ISSN:1791-244X

Sign up for eToc alerts

Recommend to Library

Copy and paste a formatted citation
x
Spandidos Publications style
Pavlopoulou A and Pavlopoulou A: State-of-the-art bioinformatics protein structure prediction tools (Review). Int J Mol Med 28: 295-310, 2011
APA
Pavlopoulou, A., & Pavlopoulou, A. (2011). State-of-the-art bioinformatics protein structure prediction tools (Review). International Journal of Molecular Medicine, 28, 295-310. https://doi.org/10.3892/ijmm.2011.705
MLA
Pavlopoulou, A., Michalopoulos, I."State-of-the-art bioinformatics protein structure prediction tools (Review)". International Journal of Molecular Medicine 28.3 (2011): 295-310.
Chicago
Pavlopoulou, A., Michalopoulos, I."State-of-the-art bioinformatics protein structure prediction tools (Review)". International Journal of Molecular Medicine 28, no. 3 (2011): 295-310. https://doi.org/10.3892/ijmm.2011.705