Journal of Proteomics & Bioinformatics
Open Access
ISSN: 0974-276X
+44 1223 790975
ISSN: 0974-276X
+44 1223 790975
Jim Havrilla
School of Biomedical Engineering,
Philadelphia, PA
Tanzania
Research Article
Meta-analysis of Protein Structural Alignment
Author(s): Jim Havrilla and Ahmet SaçanJim Havrilla and Ahmet Saçan
The three-dimensional structure of a protein molecule provides significant insight into its biological function. Structural alignment of proteins is an important and widely performed task in the analysis of protein structures, whereby functionally and evolutionarily important segments are identified. However, structural alignment is a computationally difficult problem and a large number of heuristics introduced to solve it do not agree on their results. Consequently, there is no widely accepted solution to the structure alignment problem. In this study, we present a meta-analysis approach to generate a re- optimized, best-of-all result using the alignments generated from several popular methods. Evaluations of the methods on a large set of benchmark pairwise alignments indicate that TMalign (Template Modeling Alignment) provides superior alignments (except for RMSD, root mean square d.. View More»
DOI:
10.4172/jpb.1000277