Leherte Laurence, Vercauteren Daniel P
Laboratoire de Physico-Chimie Informatique (PCI), Groupe de Chimie Physique Théorique et Structurale, University of Namur (FUNDP), Rue de Bruxelles 61, B-5000 Namur, Belgium.
J Comput Chem. 2008 Jul 15;29(9):1472-89. doi: 10.1002/jcc.20908.
In this work, the Gaussian Network Model (GNM) and Anisotropic Network Model (ANM) approaches are applied to describe the dynamics of protein structure graphs built from calculated promolecular electron density (ED) distribution functions. A first set of analyses is carried out on results obtained from ED maxima calculated at various smoothing levels. A second set is achieved for ED networks whose edges are weighted by ED overlap integral values. Results are compared with those obtained through the classical GNM and ANM approaches applied to networks of C(alpha) atoms. It is shown how the network model and the consideration of crystal packing as well as of the side chains may lead to various improvements dependent upon the structure under study. The selected protein structures are Crambin and Pancreatic Trypsin Inhibitor because of their small size and numerous dynamical data obtained by other authors.
在这项工作中,高斯网络模型(GNM)和各向异性网络模型(ANM)方法被用于描述由计算得到的前分子电子密度(ED)分布函数构建的蛋白质结构图的动力学。第一组分析是针对在不同平滑水平下计算得到的ED最大值的结果进行的。第二组分析是针对其边由ED重叠积分值加权的ED网络进行的。将结果与通过应用于C(α)原子网络的经典GNM和ANM方法所获得的结果进行比较。结果表明,网络模型以及晶体堆积和侧链的考虑如何可能导致取决于所研究结构的各种改进。选择胰凝乳蛋白酶原和胰蛋白酶抑制剂作为蛋白质结构,是因为它们的尺寸小且有其他作者获得的大量动力学数据。