BMC Bioinformatics (Nov 2020)

Alignment of biological networks by integer linear programming: virus-host protein-protein interaction networks

  • Mercè Llabrés,
  • Gabriel Riera,
  • Francesc Rosselló,
  • Gabriel Valiente

DOI
https://doi.org/10.1186/s12859-020-03733-w
Journal volume & issue
Vol. 21, no. S6
pp. 1 – 14

Abstract

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Abstract Background The alignment of protein-protein interaction networks was recently formulated as an integer quadratic programming problem, along with a linearization that can be solved by integer linear programming software tools. However, the resulting integer linear program has a huge number of variables and constraints, rendering it of no practical use. Results We present a compact integer linear programming reformulation of the protein-protein interaction network alignment problem, which can be solved using state-of-the-art mathematical modeling and integer linear programming software tools, along with empirical results showing that small biological networks, such as virus-host protein-protein interaction networks, can be aligned in a reasonable amount of time on a personal computer and the resulting alignments are structurally coherent and biologically meaningful. Conclusions The implementation of the integer linear programming reformulation using current mathematical modeling and integer linear programming software tools provided biologically meaningful alignments of virus-host protein-protein interaction networks.

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