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Alignment of biological networks by integer linear programming: virus-host protein-protein interaction networks
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 variab...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7671827/ https://www.ncbi.nlm.nih.gov/pubmed/33203352 http://dx.doi.org/10.1186/s12859-020-03733-w |
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author | Llabrés, Mercè Riera, Gabriel Rosselló, Francesc Valiente, Gabriel |
author_facet | Llabrés, Mercè Riera, Gabriel Rosselló, Francesc Valiente, Gabriel |
author_sort | Llabrés, Mercè |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7671827 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-76718272020-11-18 Alignment of biological networks by integer linear programming: virus-host protein-protein interaction networks Llabrés, Mercè Riera, Gabriel Rosselló, Francesc Valiente, Gabriel BMC Bioinformatics Research 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. BioMed Central 2020-11-18 /pmc/articles/PMC7671827/ /pubmed/33203352 http://dx.doi.org/10.1186/s12859-020-03733-w Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Llabrés, Mercè Riera, Gabriel Rosselló, Francesc Valiente, Gabriel Alignment of biological networks by integer linear programming: virus-host protein-protein interaction networks |
title | Alignment of biological networks by integer linear programming: virus-host protein-protein interaction networks |
title_full | Alignment of biological networks by integer linear programming: virus-host protein-protein interaction networks |
title_fullStr | Alignment of biological networks by integer linear programming: virus-host protein-protein interaction networks |
title_full_unstemmed | Alignment of biological networks by integer linear programming: virus-host protein-protein interaction networks |
title_short | Alignment of biological networks by integer linear programming: virus-host protein-protein interaction networks |
title_sort | alignment of biological networks by integer linear programming: virus-host protein-protein interaction networks |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7671827/ https://www.ncbi.nlm.nih.gov/pubmed/33203352 http://dx.doi.org/10.1186/s12859-020-03733-w |
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