Algebraic and topological indices of molecular pathway networks in human cancers
Protein-protein interaction networks associated with diseases have gained prominence as an area of research.We investigate algebraic and topological indices for protein-protein interaction networks of 11 human cancers derived from the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. We find...
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| Format: | Article |
| Language: | English |
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AIMS Press
2015-07-01
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| Series: | Mathematical Biosciences and Engineering |
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| Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2015.12.1289 |
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| author | Peter Hinow Edward A. Rietman Sara Ibrahim Omar Jack A. Tuszyński |
| author_facet | Peter Hinow Edward A. Rietman Sara Ibrahim Omar Jack A. Tuszyński |
| author_sort | Peter Hinow |
| collection | DOAJ |
| description | Protein-protein interaction networks associated with diseases have gained prominence as an area of research.We investigate algebraic and topological indices for protein-protein interaction networks of 11 human cancers derived from the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. We find a strong correlationbetween relative automorphism group sizes and topological network complexities on the one hand and five year survival probabilities on the other hand. Moreover, we identify several protein families (e.g. PIK, ITG, AKT families) that are repeated motifs in many of the cancer pathways. Interestingly, these sources of symmetry are often central rather than peripheral. Our results can aide in identification of promising targets for anti-cancer drugs. Beyond that, we provide a unifying framework to study protein-protein interaction networks of families of related diseases (e.g. neurodegenerative diseases, viral diseases, substance abuse disorders). |
| format | Article |
| id | doaj-art-90ecf23224ad4fd78105a7a354e86a70 |
| institution | Kabale University |
| issn | 1551-0018 |
| language | English |
| publishDate | 2015-07-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | Mathematical Biosciences and Engineering |
| spelling | doaj-art-90ecf23224ad4fd78105a7a354e86a702025-01-24T02:33:57ZengAIMS PressMathematical Biosciences and Engineering1551-00182015-07-011261289130210.3934/mbe.2015.12.1289Algebraic and topological indices of molecular pathway networks in human cancersPeter Hinow0Edward A. Rietman1Sara Ibrahim Omar2Jack A. Tuszyński3Department of Mathematical Sciences, University of Wisconsin – Milwaukee, P.O. Box 413, Milwaukee, WI 53201-0413Newman-Lakka Institute, Tufts University School of Medicine, Boston, MA 02111Cross Cancer Institute, University of Alberta, Edmonton, T6G 2E1Cross Cancer Institute and Department of Physics, University of Alberta, Edmonton, T6G 2E1Protein-protein interaction networks associated with diseases have gained prominence as an area of research.We investigate algebraic and topological indices for protein-protein interaction networks of 11 human cancers derived from the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. We find a strong correlationbetween relative automorphism group sizes and topological network complexities on the one hand and five year survival probabilities on the other hand. Moreover, we identify several protein families (e.g. PIK, ITG, AKT families) that are repeated motifs in many of the cancer pathways. Interestingly, these sources of symmetry are often central rather than peripheral. Our results can aide in identification of promising targets for anti-cancer drugs. Beyond that, we provide a unifying framework to study protein-protein interaction networks of families of related diseases (e.g. neurodegenerative diseases, viral diseases, substance abuse disorders).https://www.aimspress.com/article/doi/10.3934/mbe.2015.12.1289automorphism groupsprotein-protein interaction networkscyclomatic number. |
| spellingShingle | Peter Hinow Edward A. Rietman Sara Ibrahim Omar Jack A. Tuszyński Algebraic and topological indices of molecular pathway networks in human cancers Mathematical Biosciences and Engineering automorphism groups protein-protein interaction networks cyclomatic number. |
| title | Algebraic and topological indices of molecular pathway networks in human cancers |
| title_full | Algebraic and topological indices of molecular pathway networks in human cancers |
| title_fullStr | Algebraic and topological indices of molecular pathway networks in human cancers |
| title_full_unstemmed | Algebraic and topological indices of molecular pathway networks in human cancers |
| title_short | Algebraic and topological indices of molecular pathway networks in human cancers |
| title_sort | algebraic and topological indices of molecular pathway networks in human cancers |
| topic | automorphism groups protein-protein interaction networks cyclomatic number. |
| url | https://www.aimspress.com/article/doi/10.3934/mbe.2015.12.1289 |
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