Al-Eigen (Alignment of Eigenvectors) implements a heuristic procedure for computing a solution to the Contact Map Opverlap (CMO) problem. The algorithm uses the standard eigenvalue decomposition of symmetric matrices to obtain a set of principal eigenvectors weighted by the square root of corresponding eigenvalues. The overlap between the two maps is obtained by computing the optimal global alignment between the respective two sets of weighted eigenvectors.
Bioinformatics group, Department of Computer Science, University of Bologna
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Bioinformatics. 2010 Sep 15;26(18):2250-8. Epub 2010 Jul 7.
Fast overlapping of protein contact maps by alignment of eigenvectors.
Di Lena P, Fariselli P, Margara L, Vassura M, Casadio R.