一个网络可访问的蛋白质结构预测管道

Michael S. Lee, R. Bondugula, V. Desai, N. Zavaljevski, In-Chul Yeh, A. Wallqvist, J. Reifman
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引用次数: 0

摘要

蛋白质是生物体内几乎所有结构、催化、感觉和调节功能的分子基础。蛋白质的生物学功能与其三维原子结构有着千丝万缕的联系。传统的结构测定方法,如x射线和核磁共振技术,既耗时又昂贵,而且对于迄今为止已经从各种生物体中测序的数百万种蛋白质来说是不可行的。另外,计算结构预测方法提供了一种更快、更经济的方法,尽管是近似的,替代实验结构确定。我们提出了一个高通量蛋白质结构预测管道(称为“PSPP”),它给出输入蛋白质序列推断其三维原子结构。该管道被设计用于高性能计算集群,并随着处理器数量的增加而扩展。该管道包含一个核心Perl模块、一个并行作业管理器和一个Web浏览器图形用户界面,可从我们的网站(www.bhsai.org)访问。该软件目前安装在国防部(DoD)毛伊岛高性能计算中心,并可从我们的网站下载其相关数据库。目前,国防部的科学家们正在基础科学、药物和疫苗开发项目中使用该管道。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Web-Accessible Protein Structure Prediction Pipeline
Proteins are the molecular basis of nearly all structural, catalytic, sensory, and regulatory functions in living organisms. The biological function of a protein is inextricably linked to its three-dimensional (3D) atomic structure. Traditional structure determination methods, such as X-ray and nuclear magnetic resonance techniques, are time-consuming, expensive, and infeasible for the millions of proteins that have been sequenced so far from various organisms. Alternatively, computational structure prediction methods provide a faster and more cost-effective, albeit approximate, alternative to experimental structure determination. We present a high-throughput protein structure prediction pipeline (dubbed “PSPP”), which given input protein sequences infers their 3D atomic structures. The pipeline was designed to be used with high performance computing clusters and to scale with the number of processors. The pipeline encompasses a core Perl module, a parallel job manager, and a Web browser graphical user interface accessible at our Website (www.bhsai.org). The software is currently installed at the Department of Defense (DoD) Maui High Performance Computing Center, and it is available for download along with its associated databases from our site. Currently, DoD scientists are using the pipeline in basic science and drug and vaccine development projects.
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