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MEPSA: minimum energy pathway analysis for energy landscapes

机译:MEPSA:能源格局的最小能源路径分析

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The Summary: From conformational studies to atomistic descriptions of enzymatic reactions, potential and free energy landscapes can be used to describe biomolecular systems in detail. However, extracting the relevant data of complex 3D energy surfaces can sometimes be laborious. In this article, we present MEPSA (Minimum Energy Path Surface Analysis), a cross-platform user friendly tool for the analysis of energy landscapes from a transition state theory perspective. Some of its most relevant features are: identification of all the barriers and minima of the landscape at once, description of maxima edge profiles, detection of the lowest energy path connecting two minima and generation of transition state theory diagrams along these paths. In addition to a built-in plotting system, MEPSA can save most of the generated data into easily parseable text files, allowing more versatile uses of MEPSA's output such as the generation of molecular dynamics restraints from a calculated path.
机译:摘要:从构象研究到酶促反应的原子描述,势能和自由能态可用于详细描述生物分子系统。但是,提取复杂的3D能量表面的相关数据有时可能很麻烦。在本文中,我们介绍了MEPSA(最小能量路径表面分析),这是一种跨平台的用户友好工具,用于从过渡状态理论的角度分析能源状况。它的一些最相关的特征是:一次识别景观的所有障碍和极小值,描述最大边缘轮廓,检测连接两个极小值的最低能量路径以及沿这些路径生成过渡状态理论图。除了内置的绘图系统外,MEPSA还可将大多数生成的数据保存到易于解析的文本文件中,从而允许MEPSA输出的更多用途,例如从计算路径生成分子动力学约束。

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