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

Pavlopoulou A., Michalopoulos I.

INTERNATIONAL JOURNAL OF MOLECULAR MEDICINE, vol.28, no.3, pp.295-310, 2011 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Review
  • Volume: 28 Issue: 3
  • Publication Date: 2011
  • Doi Number: 10.3892/ijmm.2011.705
  • Journal Name: INTERNATIONAL JOURNAL OF MOLECULAR MEDICINE
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.295-310
  • Keywords: protein structure prediction, multiple sequence alignment, pairwise sequence similarity search, phylogenetic analysis, SECONDARY STRUCTURE PREDICTION, MULTIPLE SEQUENCE ALIGNMENT, WEB SERVER, FUNCTIONAL ANNOTATION, FOLD RECOGNITION, NATIONAL CENTER, LARGE-SCALE, PSI-BLAST, GOR-V, DATABASE
  • Dokuz Eylül University Affiliated: No

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.