García de la Torre José, Harding Stephen E
Departamento de Quimica Fisica, Universidad de Murcia, Regional Campus Mare Nostrum, 30071 Murcia, Spain.
Biophys Rev. 2013 Jun;5(2):195-206. doi: 10.1007/s12551-013-0102-6. Epub 2013 Feb 20.
The last three decades has seen some important advances in our ability to represent the conformation of proteins in solution on the basis of hydrodynamic measurements. Advances in theoretical modeling capabilities have been matched by commensurate advances in the precision of hydrodynamic measurements. We consider the advances in whole-body (simple ellipsoid-based) modeling-still useful for providing an overall idea of molecular shape, particularly for those systems where only a limited amount of data is available-and outline the ELLIPS suite of algorithms which facilitates the use of this approach. We then focus on bead modeling strategies, particularly the surface or shell-bead approaches and the HYDRO suite of algorithms. We demonstrate how these are providing great insights into complex issues such as the conformation of immunoglobulins and other multi-domain complexes.
在过去三十年里,我们基于流体动力学测量来表征溶液中蛋白质构象的能力取得了一些重要进展。理论建模能力的进步与流体动力学测量精度的相应提高相匹配。我们考虑了全身(基于简单椭球体)建模的进展——这仍然有助于提供分子形状的总体概念,特别是对于那些仅有有限数据的系统——并概述了有助于使用这种方法的ELLIPS算法套件。然后我们专注于珠子建模策略,特别是表面或壳珠子方法以及HYDRO算法套件。我们展示了这些策略如何为诸如免疫球蛋白和其他多结构域复合物的构象等复杂问题提供深刻见解。