Weikl Thomas R, Palassini Matteo, Dill Ken A
Department of Pharmaceutical Chemistry, University of California, San Francisco, 94143, USA. Thomas.
Protein Sci. 2004 Mar;13(3):822-9. doi: 10.1110/ps.03403604.
We present a solvable model that predicts the folding kinetics of two-state proteins from their native structures. The model is based on conditional chain entropies. It assumes that folding processes are dominated by small-loop closure events that can be inferred from native structures. For CI2, the src SH3 domain, TNfn3, and protein L, the model reproduces two-state kinetics, and it predicts well the average Phi-values for secondary structures. The barrier to folding is the formation of predominantly local structures such as helices and hairpins, which are needed to bring nonlocal pairs of amino acids into contact.
我们提出了一个可解模型,该模型可根据两态蛋白质的天然结构预测其折叠动力学。该模型基于条件链熵。它假定折叠过程由可从天然结构推断出的小环闭合事件主导。对于CI2、src SH3结构域、TNfn3和L蛋白,该模型再现了两态动力学,并且能很好地预测二级结构的平均Phi值。折叠的障碍是主要局部结构(如螺旋和发夹)的形成,这些结构是使非局部氨基酸对相互接触所必需的。