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
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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.

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September 2011
Volume 28 Issue 3

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

2016 Impact Factor: 2.341
Ranked #21/128 Medicine Research and Experimental
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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