Xie Li, Liu Haiyan
School of Life Science, University of Science and Technology of China, Laboratory of Structural Biology, Chinese Academy of Science, USTC, Hefei, Anhui, 230027, P. R. China.
J Comput Chem. 2002 Nov 30;23(15):1404-15. doi: 10.1002/jcc.10164.
We present a model to calculate the free energies of solvation of small organic compounds as well as large biomolecules. This model is based on a generalized Born (GB) model and a self-consistent charge-density functional theory-based tight-binding (SCC-DFTB) method with the nonelectrostatic contributions to the free energy of solvation modeled in terms of solvent-accessible surface areas (SA). The parametrization of the SCC-DFTB/GBSA model has been based on 60 neutral and six ionic molecules composed of H, C, N, O, and S, and spanning a wide range of chemical groups. Effective atomic radii as parameters have been obtained through Monte Carlo Simulated Annealing optimization in the parameter space to minimize the differences between the calculated and experimental free energies of solvation. The standard error in the free energies of solvation calculated by the final model is 1.11 kcal mol(-1). We also calculated the free energies of solvation for these molecules using a conductor-like screening model (COSMO) in combination with different levels of theory (AM1, SCC-DFTB, and B3LYP/6-31G*) and compared the results with SCC-DFTB/GBSA. To assess the efficiency of our model for large biomolecules, we calculated the free energy of solvation for a HIV protease-inhibitor complex containing 3,204 atoms using the SCC-DFTB/GBSA and the SCC-DFTB/COSMO models, separately. The computed relative free energies of solvation are comparable, while the SCC-DFTB/GBSA model is three to four times more efficient, in terms of computational cost.
我们提出了一个用于计算小分子有机化合物以及大型生物分子溶剂化自由能的模型。该模型基于广义玻恩(GB)模型和基于自洽电荷密度泛函理论的紧束缚(SCC-DFTB)方法,其中溶剂化自由能的非静电贡献根据溶剂可及表面积(SA)进行建模。SCC-DFTB/GBSA模型的参数化基于由H、C、N、O和S组成的60个中性分子和6个离子分子,涵盖了广泛的化学基团。通过在参数空间中进行蒙特卡罗模拟退火优化获得了作为参数的有效原子半径,以最小化计算得到的和实验测得的溶剂化自由能之间的差异。最终模型计算得到的溶剂化自由能的标准误差为1.11 kcal mol⁻¹。我们还使用类导体屏蔽模型(COSMO)结合不同水平的理论(AM1、SCC-DFTB和B3LYP/6-31G*)计算了这些分子的溶剂化自由能,并将结果与SCC-DFTB/GBSA进行了比较。为了评估我们的模型对大型生物分子的效率,我们分别使用SCC-DFTB/GBSA和SCC-DFTB/COSMO模型计算了一个包含3204个原子的HIV蛋白酶-抑制剂复合物的溶剂化自由能。计算得到的相对溶剂化自由能具有可比性,而SCC-DFTB/GBSA模型在计算成本方面要高效三到四倍。