Suppr超能文献

用于蛋白质组学和结构数据交互探索的计算工具。

Computational tools for the interactive exploration of proteomic and structural data.

机构信息

Resource for Biocomputing, Visualization, and Informatics, Department of Pharmaceutical Chemistry, University of California, San Francisco, California 94158-2517, USA.

出版信息

Mol Cell Proteomics. 2010 Aug;9(8):1703-15. doi: 10.1074/mcp.R000007-MCP201. Epub 2010 Jun 4.

Abstract

Linking proteomics and structural data is critical to our understanding of cellular processes, and interactive exploration of these complementary data sets can be extremely valuable for developing or confirming hypotheses in silico. However, few computational tools facilitate linking these types of data interactively. In addition, the tools that do exist are neither well understood nor widely used by the proteomics or structural biology communities. We briefly describe several relevant tools, and then, using three scenarios, we present in depth two tools for the integrated exploration of proteomics and structural data.

摘要

将蛋白质组学和结构数据联系起来对于我们理解细胞过程至关重要,交互式探索这些互补数据集对于在计算机上开发或验证假设非常有价值。然而,很少有计算工具能够方便地进行这种类型的数据交互链接。此外,现有的工具既没有被很好地理解,也没有被蛋白质组学或结构生物学领域广泛使用。我们简要描述了几个相关的工具,然后,通过三个场景,深入介绍了两种用于蛋白质组学和结构数据集成探索的工具。

相似文献

2
Structural genomics.结构基因组学
Methods Biochem Anal. 2003;44:591-612.
7
Recent developments in proteome informatics for mass spectrometry analysis.用于质谱分析的蛋白质组信息学的最新进展。
Comb Chem High Throughput Screen. 2009 Feb;12(2):194-202. doi: 10.2174/138620709787315508.
8
Proteomic Tools for the Analysis of Cytoskeleton Proteins.
Methods Mol Biol. 2016;1365:385-413. doi: 10.1007/978-1-4939-3124-8_23.
10
Network Tools for the Analysis of Proteomic Data.用于蛋白质组学数据分析的网络工具
Methods Mol Biol. 2017;1549:177-197. doi: 10.1007/978-1-4939-6740-7_14.

本文引用的文献

2
Toward an integrated structural model of the 26S proteasome.朝向 26S 蛋白酶体的整合结构模型。
Mol Cell Proteomics. 2010 Aug;9(8):1666-77. doi: 10.1074/mcp.R000002-MCP201. Epub 2010 May 13.
5
Proteome organization in a genome-reduced bacterium.基因组简化细菌中的蛋白质组组织
Science. 2009 Nov 27;326(5957):1235-40. doi: 10.1126/science.1176343.
7
Predicting new molecular targets for known drugs.预测已知药物的新分子靶标。
Nature. 2009 Nov 12;462(7270):175-81. doi: 10.1038/nature08506. Epub 2009 Nov 1.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验