Rocco Mattia, Byron Olwyn
Biopolimeri e Proteomica, IRCCS AOU San Martino-IST, Istituto Nazionale per la Ricerca sul Cancro, Genova, Italy.
School of Life Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, G12 8QQ, Scotland, United Kingdom.
Methods Enzymol. 2015;562:81-108. doi: 10.1016/bs.mie.2015.04.010. Epub 2015 Jul 9.
The hydrodynamic parameters measured in an AUC experiment, s(20,w) and D(t)(20,w)(0), can be used to gain information on the solution structure of (bio)macromolecules and their assemblies. This entails comparing the measured parameters with those that can be computed from usually "dry" structures by "hydrodynamic modeling." In this chapter, we will first briefly put hydrodynamic modeling in perspective and present the basic physics behind it as implemented in the most commonly used methods. The important "hydration" issue is also touched upon, and the distinction between rigid bodies versus those for which flexibility must be considered in the modeling process is then made. The available hydrodynamic modeling/computation programs, HYDROPRO, BEST, SoMo, AtoB, and Zeno, the latter four all implemented within the US-SOMO suite, are described and their performance evaluated. Finally, some literature examples are presented to illustrate the potential applications of hydrodynamics in the expanding field of multiresolution modeling.
在分析型超速离心(AUC)实验中测得的流体动力学参数,即沉降系数s(20,w)和扩散系数D(t)(20,w)(0),可用于获取有关(生物)大分子及其组装体溶液结构的信息。这需要将测得的参数与通过“流体动力学建模”从通常的“干燥”结构计算得到的参数进行比较。在本章中,我们将首先简要介绍流体动力学建模,并阐述其背后的基本物理原理,这些原理在最常用的方法中得以体现。同时,我们也会涉及重要的“水合”问题,然后区分刚体与在建模过程中必须考虑其柔韧性的物体。我们将描述现有的流体动力学建模/计算程序,包括HYDROPRO、BEST、SoMo、AtoB和Zeno(后四个程序均在美国-SOMO套件中实现),并评估它们的性能。最后,我们将给出一些文献实例,以说明流体动力学在不断扩展的多分辨率建模领域中的潜在应用。