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STITCH 5: augmenting protein–chemical interaction networks with tissue and affinity data
Interactions between proteins and small molecules are an integral part of biological processes in living organisms. Information on these interactions is dispersed over many databases, texts and prediction methods, which makes it difficult to get a comprehensive overview of the available evidence. To...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4702904/ https://www.ncbi.nlm.nih.gov/pubmed/26590256 http://dx.doi.org/10.1093/nar/gkv1277 |
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author | Szklarczyk, Damian Santos, Alberto von Mering, Christian Jensen, Lars Juhl Bork, Peer Kuhn, Michael |
author_facet | Szklarczyk, Damian Santos, Alberto von Mering, Christian Jensen, Lars Juhl Bork, Peer Kuhn, Michael |
author_sort | Szklarczyk, Damian |
collection | PubMed |
description | Interactions between proteins and small molecules are an integral part of biological processes in living organisms. Information on these interactions is dispersed over many databases, texts and prediction methods, which makes it difficult to get a comprehensive overview of the available evidence. To address this, we have developed STITCH (‘Search Tool for Interacting Chemicals’) that integrates these disparate data sources for 430 000 chemicals into a single, easy-to-use resource. In addition to the increased scope of the database, we have implemented a new network view that gives the user the ability to view binding affinities of chemicals in the interaction network. This enables the user to get a quick overview of the potential effects of the chemical on its interaction partners. For each organism, STITCH provides a global network; however, not all proteins have the same pattern of spatial expression. Therefore, only a certain subset of interactions can occur simultaneously. In the new, fifth release of STITCH, we have implemented functionality to filter out the proteins and chemicals not associated with a given tissue. The STITCH database can be downloaded in full, accessed programmatically via an extensive API, or searched via a redesigned web interface at http://stitch.embl.de. |
format | Online Article Text |
id | pubmed-4702904 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-47029042016-01-07 STITCH 5: augmenting protein–chemical interaction networks with tissue and affinity data Szklarczyk, Damian Santos, Alberto von Mering, Christian Jensen, Lars Juhl Bork, Peer Kuhn, Michael Nucleic Acids Res Database Issue Interactions between proteins and small molecules are an integral part of biological processes in living organisms. Information on these interactions is dispersed over many databases, texts and prediction methods, which makes it difficult to get a comprehensive overview of the available evidence. To address this, we have developed STITCH (‘Search Tool for Interacting Chemicals’) that integrates these disparate data sources for 430 000 chemicals into a single, easy-to-use resource. In addition to the increased scope of the database, we have implemented a new network view that gives the user the ability to view binding affinities of chemicals in the interaction network. This enables the user to get a quick overview of the potential effects of the chemical on its interaction partners. For each organism, STITCH provides a global network; however, not all proteins have the same pattern of spatial expression. Therefore, only a certain subset of interactions can occur simultaneously. In the new, fifth release of STITCH, we have implemented functionality to filter out the proteins and chemicals not associated with a given tissue. The STITCH database can be downloaded in full, accessed programmatically via an extensive API, or searched via a redesigned web interface at http://stitch.embl.de. Oxford University Press 2016-01-04 2015-11-20 /pmc/articles/PMC4702904/ /pubmed/26590256 http://dx.doi.org/10.1093/nar/gkv1277 Text en © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Database Issue Szklarczyk, Damian Santos, Alberto von Mering, Christian Jensen, Lars Juhl Bork, Peer Kuhn, Michael STITCH 5: augmenting protein–chemical interaction networks with tissue and affinity data |
title | STITCH 5: augmenting protein–chemical interaction networks with tissue and affinity data |
title_full | STITCH 5: augmenting protein–chemical interaction networks with tissue and affinity data |
title_fullStr | STITCH 5: augmenting protein–chemical interaction networks with tissue and affinity data |
title_full_unstemmed | STITCH 5: augmenting protein–chemical interaction networks with tissue and affinity data |
title_short | STITCH 5: augmenting protein–chemical interaction networks with tissue and affinity data |
title_sort | stitch 5: augmenting protein–chemical interaction networks with tissue and affinity data |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4702904/ https://www.ncbi.nlm.nih.gov/pubmed/26590256 http://dx.doi.org/10.1093/nar/gkv1277 |
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