Signaling gateway molecule pages-a data model perspective
Signaling gateway molecule pages-a data model perspective
复制标题
DOI：
10.1093/bioinformatics/btr190
复制
发表时间：
2011-06-15
期刊：
影响因子：
5.8
通讯作者：
Subramaniam, Shankar
中科院分区：
文献类型：
--
作者：
Dinasarapu, Ashok Reddy;Saunders, Brian;Subramaniam, Shankar
Signaling Gateway Molecule Pages（SGMP）数据库提供了关于参与信号转导途径的不同功能状态的蛋白质的高度结构化数据。分子页面从天然蛋白质的状态开始，没有任何修饰和/或相互作用。每一次翻译后修饰或与一种或多种蛋白质、小分子或类分子的相互作用以及细胞位置的每一次变化都会形成新的状态。状态转换是由一个或多个修饰、相互作用和易位的组合引起的，然后可能与一个或多个生物过程相关联。在表征的生物状态下，分子可以作为几种实体之一或它们的组合起作用，包括通道、受体、酶、转录因子和转运蛋白。我们还将SGMP数据导出到Biological Pathway Exchange（BioPAX）和系统生物学标记语言（SBML）以及我们的自定义XML中。
The Signaling Gateway Molecule Pages (SGMP) database provides highly structured data on proteins which exist in different functional states participating in signal transduction pathways. A molecule page starts with a state of a native protein, without any modification and/or interactions. New states are formed with every post-translational modification or interaction with one or more proteins, small molecules or class molecules and with each change in cellular location. State transitions are caused by a combination of one or more modifications, interactions and translocations which then might be associated with one or more biological processes. In a characterized biological state, a molecule can function as one of several entities or their combinations, including channel, receptor, enzyme, transcription factor and transporter. We have also exported SGMP data to the Biological Pathway Exchange (BioPAX) and Systems Biology Markup Language (SBML) as well as in our custom XML.