Faculty Publications

Title

Protein structure alignment in subquadratic time

Document Type

Conference

Keywords

alignment, dynamic programming, protein structure, structure comparison

Journal/Book/Conference Title

Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering

Volume

87 LNICST

First Page

363

Last Page

374

Abstract

The problem of finding an optimal structural alignment for a pair of superimposed proteins is often amenable to the Smith-Waterman dynamic programming algorithm, which runs in time proportional to the product of the lengths of sequences being aligned. While the quadratic running time is acceptable for computing a single alignment of two, spatially "fixed", structures, the time complexity becomes a bottleneck when running the Smith-Waterman routine multiple times in order to find an optimal pairwise superposition. We present a subquadratic running time algorithm capable of computing an alignment that optimizes one of the most widely used measures of protein structure similarity, defined as the number of pairs of residues in two proteins that can be superimposed under a predefined distance cutoff. The algorithm presented in this article can be used to significantly improve the speed-accuracy tradeoff in a number of popular protein structure alignment methods. © 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering.

Original Publication Date

9-6-2012

DOI of published version

10.1007/978-3-642-32615-8_36

Share

COinS