Vajda S, Jafri M S, Sezerman O U, DeLisi C
Department of Biomedical Engineering, Boston University, Massachusetts 02215.
Biopolymers. 1993 Jan;33(1):173-92. doi: 10.1002/bip.360330117.
Low energy conformations have been generated for melittin, pancreatic polypeptide, and ribonuclease S-peptide, both in the vicinity of x-ray structures by energy refinement and by an unconstrained search over the entire conformational space. Since the structural polymorphism of these medium-sized peptides in crystal and solution is moderate, comparing the calculated conformation to x-ray and nmr data provides information on local and global behavior of potential functions. Local analysis includes standardization calculations, which show that models with standard geometry can approximate good resolution x-ray data with less than 0.5 A rms deviation (RMSD). However, the atomic coordinates are shifted up to 2 A RMSD by local energy minimization, and thus 2 A is generally the smallest RMSD value one can target in a conformational search using the same energy evaluation models. The unconstrained search was performed by a buildup-type method based on dynamic programming. To accelerate the generation of structures in the conformational search, we used the ECEPP potential, defined in terms of standard polypeptide geometry. A number of low energy conformations were further refined by relaxing the assumption of standard bond lengths and bond angles through the use of the CHARMM potential, and the hydrophobic folding energies of Eisenberg and McLachlan were calculated. Each conformation is described in terms of the RMSD from the native, hydrogen-bonding structure, solvent-accessible surface area, and the ratio of surfaces corresponding to nonpolar and polar residues. The unconstrained search finds conformations that are different from the native, sometimes substantially, and in addition, have lower conformational energies than the native. The origin of deviations is different for each of the three peptides, but in all examples the refined x-ray structures have lower energies than the calculated incorrect folds when (1) the assumption of standard bond lengths and bond angles is relaxed; (2) a small and constant effective dielectric permittivity (epsilon < 10) is used; and (3) the hydrophobic folding energy is incorporated into the potential.
通过能量优化以及在整个构象空间进行无约束搜索,已生成了蜂毒肽、胰多肽和核糖核酸酶S肽的低能构象,这两种方法都在X射线结构附近进行。由于这些中等大小肽在晶体和溶液中的结构多态性适中,将计算得到的构象与X射线和核磁共振数据进行比较,可提供有关潜在功能的局部和全局行为的信息。局部分析包括标准化计算,结果表明具有标准几何结构的模型能够以小于0.5埃的均方根偏差(RMSD)来近似高分辨率的X射线数据。然而,通过局部能量最小化,原子坐标会发生高达2埃的RMSD位移,因此,在使用相同能量评估模型的构象搜索中,2埃通常是人们能够设定的最小RMSD值目标。无约束搜索是通过基于动态规划的逐步构建法进行的。为了加速构象搜索中结构的生成,我们使用了根据标准多肽几何结构定义的ECEPP势能。通过使用CHARMM势能放松标准键长和键角假设,进一步优化了许多低能构象,并计算了艾森伯格和麦克拉克伦的疏水折叠能。每个构象都根据与天然氢键结构的RMSD、溶剂可及表面积以及非极性和极性残基对应表面的比例来描述。无约束搜索发现了与天然构象不同的构象,有时差异很大,此外,其构象能量比天然构象更低。三种肽各自偏差的来源不同,但在所有例子中,当(1)放松标准键长和键角的假设;(2)使用小的且恒定的有效介电常数(ε<10);(3)将疏水折叠能纳入势能时,优化后的X射线结构比计算得到的错误折叠具有更低的能量。