Skjaerven Lars, Jonassen Inge, Reuter Nathalie
Computational Biology Unit, Bergen Center for Computational Science, University of Bergen, Bergen, Norway.
BMC Bioinformatics. 2007 Jul 2;8:232. doi: 10.1186/1471-2105-8-232.
To understand the mechanism by which a protein transmits a signal through the cell membrane, an understanding of the flexibility of its transmembrane (TM) region is essential. Normal Mode Analysis (NMA) has become the method of choice to investigate the slowest motions in macromolecular systems. It has been widely used to study transmembrane channels and pumps. It relies on the hypothesis that the vibrational normal modes having the lowest frequencies (also named soft modes) describe the largest movements in a protein and are the ones that are functionally relevant. In particular NMA can be used to study dynamics of TM regions, but no tool making this approach available for non-experts, has been available so far.
We developed the web-application TMM@ (TransMembrane alpha-helical Mobility analyzer). It uses NMA to characterize the propensity of transmembrane alpha-helices to be displaced. Starting from a structure file at the PDB format, the server computes the normal modes of the protein and identifies which helices in the bundle are the most mobile. Each analysis is performed independently from the others and results can be visualized using only a web browser. No additional plug-in or software is required. For users who would like to further analyze the output data with their favourite software, raw results can also be downloaded.
We built a novel and unique tool, TMM@, to study the mobility of transmembrane alpha-helices. The tool can be applied to for example membrane transporters and provides biologists studying transmembrane proteins with an approach to investigate which alpha-helices are likely to undergo the largest displacements, and hence which helices are most likely to be involved in the transportation of molecules in and out of the cell.
为了理解蛋白质通过细胞膜传递信号的机制,了解其跨膜(TM)区域的灵活性至关重要。正常模式分析(NMA)已成为研究大分子系统中最慢运动的首选方法。它已被广泛用于研究跨膜通道和泵。它基于这样的假设,即频率最低的振动正常模式(也称为软模式)描述了蛋白质中最大的运动,并且是与功能相关的模式。特别是,NMA可用于研究TM区域的动力学,但迄今为止,还没有一种工具可供非专业人员使用这种方法。
我们开发了网络应用程序TMM@(跨膜α螺旋流动性分析仪)。它使用NMA来表征跨膜α螺旋发生位移的倾向。从PDB格式的结构文件开始,服务器计算蛋白质的正常模式,并识别束中哪些螺旋最具流动性。每次分析都是独立进行的,结果可以仅使用网络浏览器进行可视化。无需额外的插件或软件。对于希望使用自己喜欢的软件进一步分析输出数据的用户,也可以下载原始结果。
我们构建了一个新颖独特的工具TMM@,用于研究跨膜α螺旋的流动性。该工具可应用于例如膜转运蛋白,并为研究跨膜蛋白的生物学家提供一种方法,以研究哪些α螺旋可能发生最大的位移,从而哪些螺旋最有可能参与分子进出细胞的运输。