Department of Bioinformatics, Biocenter, Am Hubland, University of Würzburg, 97074 Würzburg, Germany.
Database (Oxford). 2013 Jun 27;2013:bat043. doi: 10.1093/database/bat043. Print 2013.
An essential topic for synthetic biologists is to understand the structure and function of biological processes and involved proteins and plan experiments accordingly. Remarkable progress has been made in recent years towards this goal. However, efforts to collect and present all information on processes and functions are still cumbersome. The database tool GoSynthetic provides a new, simple and fast way to analyse biological processes applying a hierarchical database. Four different search modes are implemented. Furthermore, protein interaction data, cross-links to organism-specific databases (17 organisms including six model organisms and their interactions), COG/KOG, GO and IntAct are warehoused. The built in connection to technical and engineering terms enables a simple switching between biological concepts and concepts from engineering, electronics and synthetic biology. The current version of GoSynthetic covers more than one million processes, proteins, COGs and GOs. It is illustrated by various application examples probing process differences and designing modifications. Database URL: http://gosyn.bioapps.biozentrum.uni-wuerzburg.de.
对合成生物学家来说,一个重要的课题是理解生物过程和涉及的蛋白质的结构和功能,并据此规划实验。近年来,在这一目标上取得了显著的进展。然而,收集和呈现所有关于过程和功能的信息的工作仍然很繁琐。数据库工具 GoSynthetic 提供了一种新的、简单而快速的方法,通过分层数据库来分析生物过程。实现了四种不同的搜索模式。此外,蛋白质相互作用数据、与特定于生物体的数据库(包括六个模式生物体及其相互作用的 17 个生物体)、COG/KOG、GO 和 IntAct 的交叉链接都被存储。内置的与技术和工程术语的连接允许在生物学概念和来自工程、电子和合成生物学的概念之间进行简单的切换。GoSynthetic 的当前版本涵盖了超过一百万个过程、蛋白质、COGs 和 GOs。通过各种应用示例来说明过程差异和设计修改。数据库网址:http://gosyn.bioapps.biozentrum.uni-wuerzburg.de。