Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, New York 12180, USA.
Proteins. 2012 Mar;80(3):920-34. doi: 10.1002/prot.23249. Epub 2011 Dec 21.
Protein unfolding is modeled as an ensemble of pathways, where each step in each pathway is the addition of one topologically possible conformational degree of freedom. Starting with a known protein structure, GeoFold hierarchically partitions (cuts) the native structure into substructures using revolute joints and translations. The energy of each cut and its activation barrier are calculated using buried solvent accessible surface area, side chain entropy, hydrogen bonding, buried cavities, and backbone degrees of freedom. A directed acyclic graph is constructed from the cuts, representing a network of simultaneous equilibria. Finite difference simulations on this graph simulate native unfolding pathways. Experimentally observed changes in the unfolding rates for disulfide mutants of barnase, T4 lysozyme, dihydrofolate reductase, and factor for inversion stimulation were qualitatively reproduced in these simulations. Detailed unfolding pathways for each case explain the effects of changes in the chain topology on the folding energy landscape. GeoFold is a useful tool for the inference of the effects of disulfide engineering on the energy landscape of protein unfolding.
蛋白质的展开被建模为一组途径,其中每条途径的每一步都是增加一个拓扑上可能的构象自由度。从已知的蛋白质结构开始,GeoFold 使用旋转接头和平移对天然结构进行层次分区(切割)成亚结构。使用埋藏溶剂可及表面积、侧链熵、氢键、埋藏腔和骨架自由度计算每个切割的能量及其激活势垒。从切割中构建有向无环图,代表同时平衡的网络。对此图进行有限差分模拟,模拟天然展开途径。在这些模拟中,定性再现了 barnase、T4 溶菌酶、二氢叶酸还原酶和反转刺激因子的二硫键突变体的展开速率的实验观察到的变化。每个案例的详细展开途径解释了链拓扑变化对折叠能量景观的影响。GeoFold 是推断二硫键工程对蛋白质展开能量景观影响的有用工具。