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On the origin of distribution patterns of motifs in biological networks
BACKGROUND: Inventories of small subgraphs in biological networks have identified commonly-recurring patterns, called motifs. The inference that these motifs have been selected for function rests on the idea that their occurrences are significantly more frequent than random. RESULTS: Our analysis of...
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2008
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2538512/ https://www.ncbi.nlm.nih.gov/pubmed/18700017 http://dx.doi.org/10.1186/1752-0509-2-73 |
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author | Konagurthu, Arun S Lesk, Arthur M |
author_facet | Konagurthu, Arun S Lesk, Arthur M |
author_sort | Konagurthu, Arun S |
collection | PubMed |
description | BACKGROUND: Inventories of small subgraphs in biological networks have identified commonly-recurring patterns, called motifs. The inference that these motifs have been selected for function rests on the idea that their occurrences are significantly more frequent than random. RESULTS: Our analysis of several large biological networks suggests, in contrast, that the frequencies of appearance of common subgraphs are similar in natural and corresponding random networks. CONCLUSION: Indeed, certain topological features of biological networks give rise naturally to the common appearance of the motifs. We therefore question whether frequencies of occurrences are reasonable evidence that the structures of motifs have been selected for their functional contribution to the operation of networks. |
format | Text |
id | pubmed-2538512 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-25385122008-09-17 On the origin of distribution patterns of motifs in biological networks Konagurthu, Arun S Lesk, Arthur M BMC Syst Biol Research Article BACKGROUND: Inventories of small subgraphs in biological networks have identified commonly-recurring patterns, called motifs. The inference that these motifs have been selected for function rests on the idea that their occurrences are significantly more frequent than random. RESULTS: Our analysis of several large biological networks suggests, in contrast, that the frequencies of appearance of common subgraphs are similar in natural and corresponding random networks. CONCLUSION: Indeed, certain topological features of biological networks give rise naturally to the common appearance of the motifs. We therefore question whether frequencies of occurrences are reasonable evidence that the structures of motifs have been selected for their functional contribution to the operation of networks. BioMed Central 2008-08-12 /pmc/articles/PMC2538512/ /pubmed/18700017 http://dx.doi.org/10.1186/1752-0509-2-73 Text en Copyright © 2008 Konagurthu and Lesk; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Konagurthu, Arun S Lesk, Arthur M On the origin of distribution patterns of motifs in biological networks |
title | On the origin of distribution patterns of motifs in biological networks |
title_full | On the origin of distribution patterns of motifs in biological networks |
title_fullStr | On the origin of distribution patterns of motifs in biological networks |
title_full_unstemmed | On the origin of distribution patterns of motifs in biological networks |
title_short | On the origin of distribution patterns of motifs in biological networks |
title_sort | on the origin of distribution patterns of motifs in biological networks |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2538512/ https://www.ncbi.nlm.nih.gov/pubmed/18700017 http://dx.doi.org/10.1186/1752-0509-2-73 |
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