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T2D@ZJU: a knowledgebase integrating heterogeneous connections associated with type 2 diabetes mellitus
Type 2 diabetes mellitus (T2D), affecting >90% of the diabetic patients, is one of the major threats to human health. A comprehensive understanding of the mechanisms of T2D at molecular level is essential to facilitate the related translational research. Here, we introduce a comprehensive and up-...
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/PMC3708620/ https://www.ncbi.nlm.nih.gov/pubmed/23846596 http://dx.doi.org/10.1093/database/bat052 |
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author | Yang, Zhenzhong Yang, Jihong Liu, Wei Wu, Leihong Xing, Li Wang, Yi Fan, Xiaohui Cheng, Yiyu |
author_facet | Yang, Zhenzhong Yang, Jihong Liu, Wei Wu, Leihong Xing, Li Wang, Yi Fan, Xiaohui Cheng, Yiyu |
author_sort | Yang, Zhenzhong |
collection | PubMed |
description | Type 2 diabetes mellitus (T2D), affecting >90% of the diabetic patients, is one of the major threats to human health. A comprehensive understanding of the mechanisms of T2D at molecular level is essential to facilitate the related translational research. Here, we introduce a comprehensive and up-to-date knowledgebase for T2D, i.e. T2D@ZJU. T2D@ZJU contains three levels of heterogeneous connections associated with T2D, which is retrieved from pathway databases, protein–protein interaction databases and literature, respectively. In current release, T2D@ZJU contains 1078 T2D related entities such as proteins, protein complexes, drugs and others together with their corresponding relationships, which include 3069 manually curated connections, 14 893 protein–protein interactions and 26 716 relationships identified by text-mining technology. Moreover, T2D@ZJU provides a user-friendly web interface for users to browse and search data. A Cytoscape Web-based interactive network browser is available to visualize the corresponding network relationships between T2D-related entities. The functionality of T2D@ZJU is shown by means of several case studies. Database URL: http://tcm.zju.edu.cn/t2d |
format | Online Article Text |
id | pubmed-3708620 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-37086202013-07-11 T2D@ZJU: a knowledgebase integrating heterogeneous connections associated with type 2 diabetes mellitus Yang, Zhenzhong Yang, Jihong Liu, Wei Wu, Leihong Xing, Li Wang, Yi Fan, Xiaohui Cheng, Yiyu Database (Oxford) Database Tool Type 2 diabetes mellitus (T2D), affecting >90% of the diabetic patients, is one of the major threats to human health. A comprehensive understanding of the mechanisms of T2D at molecular level is essential to facilitate the related translational research. Here, we introduce a comprehensive and up-to-date knowledgebase for T2D, i.e. T2D@ZJU. T2D@ZJU contains three levels of heterogeneous connections associated with T2D, which is retrieved from pathway databases, protein–protein interaction databases and literature, respectively. In current release, T2D@ZJU contains 1078 T2D related entities such as proteins, protein complexes, drugs and others together with their corresponding relationships, which include 3069 manually curated connections, 14 893 protein–protein interactions and 26 716 relationships identified by text-mining technology. Moreover, T2D@ZJU provides a user-friendly web interface for users to browse and search data. A Cytoscape Web-based interactive network browser is available to visualize the corresponding network relationships between T2D-related entities. The functionality of T2D@ZJU is shown by means of several case studies. Database URL: http://tcm.zju.edu.cn/t2d Oxford University Press 2013-07-11 /pmc/articles/PMC3708620/ /pubmed/23846596 http://dx.doi.org/10.1093/database/bat052 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 | Database Tool Yang, Zhenzhong Yang, Jihong Liu, Wei Wu, Leihong Xing, Li Wang, Yi Fan, Xiaohui Cheng, Yiyu T2D@ZJU: a knowledgebase integrating heterogeneous connections associated with type 2 diabetes mellitus |
title | T2D@ZJU: a knowledgebase integrating heterogeneous connections associated with type 2 diabetes mellitus |
title_full | T2D@ZJU: a knowledgebase integrating heterogeneous connections associated with type 2 diabetes mellitus |
title_fullStr | T2D@ZJU: a knowledgebase integrating heterogeneous connections associated with type 2 diabetes mellitus |
title_full_unstemmed | T2D@ZJU: a knowledgebase integrating heterogeneous connections associated with type 2 diabetes mellitus |
title_short | T2D@ZJU: a knowledgebase integrating heterogeneous connections associated with type 2 diabetes mellitus |
title_sort | t2d@zju: a knowledgebase integrating heterogeneous connections associated with type 2 diabetes mellitus |
topic | Database Tool |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3708620/ https://www.ncbi.nlm.nih.gov/pubmed/23846596 http://dx.doi.org/10.1093/database/bat052 |
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