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G 蛋白偶联受体(GPCRs)、G 蛋白、效应物及其相互作用:采用可视化工具和数据集成技术的人类 gpDB 数据库。

GPCRs, G-proteins, effectors and their interactions: human-gpDB, a database employing visualization tools and data integration techniques.

机构信息

Structural and Computational Biology Unit, EMBL, Meyerhofstrasse 1, Heidelberg D69117, Germany.

出版信息

Database (Oxford). 2010 Aug 5;2010:baq019. doi: 10.1093/database/baq019.

Abstract

G-protein coupled receptors (GPCRs) are a major family of membrane receptors in eukaryotic cells. They play a crucial role in the communication of a cell with the environment. Ligands bind to GPCRs on the outside of the cell, activating them by causing a conformational change, and allowing them to bind to G-proteins. Through their interaction with G-proteins, several effector molecules are activated leading to many kinds of cellular and physiological responses. The great importance of GPCRs and their corresponding signal transduction pathways is indicated by the fact that they take part in many diverse disease processes and that a large part of efforts towards drug development today is focused on them. We present Human-gpDB, a database which currently holds information about 713 human GPCRs, 36 human G-proteins and 99 human effectors. The collection of information about the interactions between these molecules was done manually and the current version of Human-gpDB holds information for about 1663 connections between GPCRs and G-proteins and 1618 connections between G-proteins and effectors. Major advantages of Human-gpDB are the integration of several external data sources and the support of advanced visualization techniques. Human-gpDB is a simple, yet a powerful tool for researchers in the life sciences field as it integrates an up-to-date, carefully curated collection of human GPCRs, G-proteins, effectors and their interactions. The database may be a reference guide for medical and pharmaceutical research, especially in the areas of understanding human diseases and chemical and drug discovery. Database URLs: http://schneider.embl.de/human_gpdb; http://bioinformatics.biol.uoa.gr/human_gpdb/

摘要

G 蛋白偶联受体(GPCRs)是真核细胞中主要的膜受体家族。它们在细胞与环境的通讯中起着至关重要的作用。配体与细胞外的 GPCR 结合,通过引起构象变化激活它们,并允许它们与 G 蛋白结合。通过与 G 蛋白的相互作用,几种效应分子被激活,导致多种细胞和生理反应。GPCR 及其相应的信号转导途径非常重要,这是因为它们参与了许多不同的疾病过程,而且当今药物开发的很大一部分重点都放在它们身上。我们介绍了 Human-gpDB,这是一个数据库,目前包含了 713 个人类 GPCR、36 个人类 G 蛋白和 99 个人类效应物的信息。这些分子之间相互作用的信息收集是手动完成的,目前的 Human-gpDB 版本包含了大约 1663 个 GPCR 和 G 蛋白之间的连接和 1618 个 G 蛋白和效应物之间的连接。Human-gpDB 的主要优势在于整合了几个外部数据源,并支持先进的可视化技术。Human-gpDB 是生命科学领域研究人员的一个简单而强大的工具,因为它集成了最新的、精心策划的人类 GPCR、G 蛋白、效应物及其相互作用的集合。该数据库可作为医学和制药研究的参考指南,特别是在理解人类疾病和化学及药物发现领域。数据库网址:http://schneider.embl.de/human_gpdb;http://bioinformatics.biol.uoa.gr/human_gpdb/

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f25f/2931634/d118002bd3cc/baq019f1.jpg

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本文引用的文献

1
BioMart--biological queries made easy.
BMC Genomics. 2009 Jan 14;10:22. doi: 10.1186/1471-2164-10-22.
2
Arena3D: visualization of biological networks in 3D.
BMC Syst Biol. 2008 Nov 28;2:104. doi: 10.1186/1752-0509-2-104.
3
Ensembl 2009.
Nucleic Acids Res. 2009 Jan;37(Database issue):D690-7. doi: 10.1093/nar/gkn828. Epub 2008 Nov 25.
4
Reactome knowledgebase of human biological pathways and processes.
Nucleic Acids Res. 2009 Jan;37(Database issue):D619-22. doi: 10.1093/nar/gkn863. Epub 2008 Nov 3.
5
SMART 6: recent updates and new developments.
Nucleic Acids Res. 2009 Jan;37(Database issue):D229-32. doi: 10.1093/nar/gkn808. Epub 2008 Oct 31.
6
HMDB: a knowledgebase for the human metabolome.
Nucleic Acids Res. 2009 Jan;37(Database issue):D603-10. doi: 10.1093/nar/gkn810. Epub 2008 Oct 25.
7
IUPHAR-DB: the IUPHAR database of G protein-coupled receptors and ion channels.
Nucleic Acids Res. 2009 Jan;37(Database issue):D680-5. doi: 10.1093/nar/gkn728. Epub 2008 Oct 23.
8
The Universal Protein Resource (UniProt) 2009.
Nucleic Acids Res. 2009 Jan;37(Database issue):D169-74. doi: 10.1093/nar/gkn664. Epub 2008 Oct 4.
9
Dasty2, an Ajax protein DAS client.
Bioinformatics. 2008 Sep 15;24(18):2119-21. doi: 10.1093/bioinformatics/btn387. Epub 2008 Aug 11.
10
DrugBank and its relevance to pharmacogenomics.
Pharmacogenomics. 2008 Aug;9(8):1155-62. doi: 10.2217/14622416.9.8.1155.

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