Title :
Protein Structure Alignment: Is There Room for Improvement?
Author :
Arriagada, Mauricio ; Poleksic, Aleksandar
Author_Institution :
Dept. of Comput. Sci., Univ. of Tarapaca, Arica, Chile
Abstract :
Recent years have seen rapid development of methods for approximate and optimal solutions to the protein structure alignment problem. Albeit slow, these methods can be extremely useful in assessing the accuracy of more efficient, heuristic algorithms. We utilize a recently developed approximation algorithm for protein structure matching to demonstrate that a deep search of the protein superposition space leads to increased alignment accuracy with respect to many well established measures of alignment quality. The results of our study suggest that a large and important part of the protein superposition space remains unexplored by current techniques for protein structure alignment.
Keywords :
approximation theory; biological techniques; biology computing; molecular biophysics; molecular configurations; proteins; alignment quality; approximation algorithm; heuristic algorithms; protein structure alignment; protein structure matching; protein superposition space; Accuracy; Algorithm design and analysis; Approximation algorithms; Approximation methods; Benchmark testing; Proteins; Silicon; alignment algorithms; protein structure; structural alignment; structure comparison;
Conference_Titel :
Complex, Intelligent and Software Intensive Systems (CISIS), 2012 Sixth International Conference on
Conference_Location :
Palermo
Print_ISBN :
978-1-4673-1233-2
DOI :
10.1109/CISIS.2012.12