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Capturing cooperative interactions with the PSI-MI format
The complex biological processes that control cellular function are mediated by intricate networks of molecular interactions. Accumulating evidence indicates that these interactions are often interdependent, thus acting cooperatively. Cooperative interactions are prevalent in and indispensible for r...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3782717/ https://www.ncbi.nlm.nih.gov/pubmed/24067240 http://dx.doi.org/10.1093/database/bat066 |
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author | Van Roey, Kim Orchard, Sandra Kerrien, Samuel Dumousseau, Marine Ricard-Blum, Sylvie Hermjakob, Henning Gibson, Toby J. |
author_facet | Van Roey, Kim Orchard, Sandra Kerrien, Samuel Dumousseau, Marine Ricard-Blum, Sylvie Hermjakob, Henning Gibson, Toby J. |
author_sort | Van Roey, Kim |
collection | PubMed |
description | The complex biological processes that control cellular function are mediated by intricate networks of molecular interactions. Accumulating evidence indicates that these interactions are often interdependent, thus acting cooperatively. Cooperative interactions are prevalent in and indispensible for reliable and robust control of cell regulation, as they underlie the conditional decision-making capability of large regulatory complexes. Despite an increased focus on experimental elucidation of the molecular details of cooperative binding events, as evidenced by their growing occurrence in literature, they are currently lacking from the main bioinformatics resources. One of the contributing factors to this deficiency is the lack of a computer-readable standard representation and exchange format for cooperative interaction data. To tackle this shortcoming, we added functionality to the widely used PSI-MI interchange format for molecular interaction data by defining new controlled vocabulary terms that allow annotation of different aspects of cooperativity without making structural changes to the underlying XML schema. As a result, we are able to capture cooperative interaction data in a structured format that is backward compatible with PSI-MI–based data and applications. This will facilitate the storage, exchange and analysis of cooperative interaction data, which in turn will advance experimental research on this fundamental principle in biology. Database URL: http://psi-mi-cooperativeinteractions.embl.de/ |
format | Online Article Text |
id | pubmed-3782717 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-37827172013-09-25 Capturing cooperative interactions with the PSI-MI format Van Roey, Kim Orchard, Sandra Kerrien, Samuel Dumousseau, Marine Ricard-Blum, Sylvie Hermjakob, Henning Gibson, Toby J. Database (Oxford) Original Article The complex biological processes that control cellular function are mediated by intricate networks of molecular interactions. Accumulating evidence indicates that these interactions are often interdependent, thus acting cooperatively. Cooperative interactions are prevalent in and indispensible for reliable and robust control of cell regulation, as they underlie the conditional decision-making capability of large regulatory complexes. Despite an increased focus on experimental elucidation of the molecular details of cooperative binding events, as evidenced by their growing occurrence in literature, they are currently lacking from the main bioinformatics resources. One of the contributing factors to this deficiency is the lack of a computer-readable standard representation and exchange format for cooperative interaction data. To tackle this shortcoming, we added functionality to the widely used PSI-MI interchange format for molecular interaction data by defining new controlled vocabulary terms that allow annotation of different aspects of cooperativity without making structural changes to the underlying XML schema. As a result, we are able to capture cooperative interaction data in a structured format that is backward compatible with PSI-MI–based data and applications. This will facilitate the storage, exchange and analysis of cooperative interaction data, which in turn will advance experimental research on this fundamental principle in biology. Database URL: http://psi-mi-cooperativeinteractions.embl.de/ Oxford University Press 2013-09-24 /pmc/articles/PMC3782717/ /pubmed/24067240 http://dx.doi.org/10.1093/database/bat066 Text en © The Author(s) 2013. Published by Oxford University Press. http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Van Roey, Kim Orchard, Sandra Kerrien, Samuel Dumousseau, Marine Ricard-Blum, Sylvie Hermjakob, Henning Gibson, Toby J. Capturing cooperative interactions with the PSI-MI format |
title | Capturing cooperative interactions with the PSI-MI format |
title_full | Capturing cooperative interactions with the PSI-MI format |
title_fullStr | Capturing cooperative interactions with the PSI-MI format |
title_full_unstemmed | Capturing cooperative interactions with the PSI-MI format |
title_short | Capturing cooperative interactions with the PSI-MI format |
title_sort | capturing cooperative interactions with the psi-mi format |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3782717/ https://www.ncbi.nlm.nih.gov/pubmed/24067240 http://dx.doi.org/10.1093/database/bat066 |
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