Algorithm engineering for optimal alignment of protein structure distance matrices

Inken Wohlers*, Rumen Andonov, Gunnar W. Klau

*Corresponding author for this work
9 Citations (Scopus)

Abstract

Protein structural alignment is an important problem in computational biology. In this paper, we present first successes on provably optimal pairwise alignment of protein inter-residue distance matrices, using the popular dali scoring function. We introduce the structural alignment problem formally, which enables us to express a variety of scoring functions used in previous work as special cases in a unified framework. Further, we propose the first mathematical model for computing optimal structural alignments based on dense inter-residue distance matrices. We therefore reformulate the problem as a special graph problem and give a tight integer linear programming model. We then present algorithm engineering techniques to handle the huge integer linear programs of real-life distance matrix alignment problems. Applying these techniques, we can compute provably optimal dali alignments for the very first time.

Original languageEnglish
JournalOptimization Letters
Volume5
Issue number3
Pages (from-to)421-433
Number of pages13
ISSN1862-4472
DOIs
Publication statusPublished - 08.2011

Funding

Acknowledgments This work has been supported by DFG grant KL 1390/2–1 and was partly done when I. Wohlers was visiting IRISA supported by an INRIA grant. R. Andonov is supported by BioWIC ANR-08-SEGI-005 project and partially by DVU-01/197/16.12.2008 NSF-Bulgaria. Computational experiments were sponsored by the NCF for the use of supercomputer facilities, with financial support from NWO.

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