Bhardwaj Nitin, Stahelin Robert V, Zhao Guijun, Cho Wonhwa, Lu Hui
Bioinformatics Program, Department of Bioengineering, University of Illinois at Chicago, Chicago, IL 60607, USA.
Bioinformatics. 2007 Nov 15;23(22):3110-2. doi: 10.1093/bioinformatics/btm395. Epub 2007 Aug 25.
Protein-lipid interactions play a central role in cellular signaling and membrane trafficking and at the core of these interactions are domains specialized in lipid binding and membrane targeting. Considering the importance of these domains, we have created MeTaDoR, a comprehensive resource dedicated to membrane targeting domains (MTDs).
MeTaDoR begins with a brief introduction about all the important MTDs including their subcellular localization and structural features. Sequences of all known MTDs are then provided in two formats: standard Prosite format and a parsed tab-delimited format that provides a manually curated classification into binding or non-binding. Structures of all MTDs and host proteins known so far are provided with links to PDB and Pfam databases. Membrane-binding orientation of these proteins, whether experimentally determined or proposed, is also provided with links to the appropriate literature. To facilitate molecular dynamics studies of these proteins, the force-field parameters for many non-standard lipids that commonly interact with these proteins are also provided. Finally, an online server for predicting membrane-binding proteins and a search function with various search fields are included. The resource is publicly available and will be updated on a regular basis.
蛋白质 - 脂质相互作用在细胞信号传导和膜运输中起着核心作用,这些相互作用的核心是专门用于脂质结合和膜靶向的结构域。考虑到这些结构域的重要性,我们创建了MeTaDoR,这是一个专门针对膜靶向结构域(MTD)的综合资源库。
MeTaDoR首先简要介绍了所有重要的MTD,包括它们的亚细胞定位和结构特征。然后以两种格式提供所有已知MTD的序列:标准的Prosite格式和一种经过解析的制表符分隔格式,该格式提供了人工整理的结合或非结合分类。提供了所有已知MTD及其宿主蛋白的结构,并链接到PDB和Pfam数据库。这些蛋白质的膜结合方向,无论是通过实验确定的还是推测的,也都提供了相关文献的链接。为便于对这些蛋白质进行分子动力学研究,还提供了许多通常与这些蛋白质相互作用的非标准脂质的力场参数。最后,还包括一个用于预测膜结合蛋白的在线服务器和一个具有各种搜索字段的搜索功能。该资源库是公开可用的,并将定期更新。