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.

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Springer
Optimization Letters
Evolutionary Intelligence

Wohlers, I., Andonov, R., & Klau, G. (2011). Algorithm Engineering for Optimal Alignment of Protein Structure Distance Matrices. Optimization Letters, 1–14.