State-of-the-art bioinformatics protein structure prediction tools (Review).
PMID 21617841 · International journal of molecular medicine · 2011 · DOI 10.3892/ijmm.2011.705
Authors: Athanasia Pavlopoulou; Ioannis Michalopoulos
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.
Algorithms; Amino Acid Sequence; Amino Acid Substitution; Computational Biology; Databases, Genetic; Internet; Models, Molecular; Molecular Sequence Data; Phylogeny; Protein Conformation; Protein Folding; Proteins; Sequence Alignment; Sequence Analysis, Protein; Software
Cite
Athanasia Pavlopoulou; Ioannis Michalopoulos. State-of-the-art bioinformatics protein structure prediction tools (Review). International journal of molecular medicine (2011). PMID 21617841. DOI 10.3892/ijmm.2011.705.