Scheraga H A, Paine G H
Ann N Y Acad Sci. 1986;482:60-8. doi: 10.1111/j.1749-6632.1986.tb20937.x.
We are using a variety of theoretical and computational techniques to study protein structure, protein folding, and higher-order structures. Our earlier work involved treatments of liquid water and aqueous solutions of nonpolar and polar solutes, computations of the stabilities of the fundamental structures of proteins and their packing arrangements, conformations of small cyclic and open-chain peptides, structures of fibrous proteins (collagen), structures of homologous globular proteins, introduction of special procedures as constraints during energy minimization of globular proteins, and structures of enzyme-substrate complexes. Recently, we presented a new methodology for predicting polypeptide structure (described here); the method is based on the calculation of the probable and average conformation of a polypeptide chain by the application of equilibrium statistical mechanics in conjunction with an adaptive, importance sampling Monte Carlo algorithm. As a test, it was applied to Met-enkephalin.
我们正在运用多种理论和计算技术来研究蛋白质结构、蛋白质折叠及高阶结构。我们早期的工作包括对液态水以及非极性和极性溶质的水溶液的处理,蛋白质基本结构及其堆积排列稳定性的计算,小环肽和开链肽的构象,纤维状蛋白质(胶原蛋白)的结构,同源球状蛋白质的结构,在球状蛋白质能量最小化过程中引入特殊程序作为约束条件,以及酶 - 底物复合物的结构。最近,我们提出了一种预测多肽结构的新方法(在此处描述);该方法基于通过结合自适应重要性抽样蒙特卡罗算法应用平衡统计力学来计算多肽链的可能构象和平均构象。作为测试,它被应用于甲硫氨酸脑啡肽。