Dipartimento di Scienze del Farmaco, Università degli Studi "G. D'Annunzio" Chieti-Pescara, Italy.
J Comput Aided Mol Des. 2011 Aug;25(8):729-42. doi: 10.1007/s10822-011-9448-7. Epub 2011 Jun 24.
We have carried out quantum mechanical (QM) and QM/MM (combined QM and molecular mechanics) calculations, as well as molecular dynamics (MD) simulations to study the binding of a series of six RAPTA (Ru(II)-arene-1,3,5-triaza-7-phosphatricyclo-[3.3.1.1] decane) complexes with different arene substituents to cathepsin B. The recently developed QM/MM-PBSA approach (QM/MM combined with Poisson-Boltzmann solvent-accessible surface area solvation) has been used to estimate binding affinities. The QM calculations reproduce the antitumour activities of the complexes with a correlation coefficient (r (2)) of 0.35-0.86 after a conformational search. The QM/MM-PBSA method gave a better correlation (r (2) = 0.59) when the protein was fixed to the crystal structure, but more reasonable ligand structures and absolute binding energies were obtained if the protein was allowed to relax, indicating that the ligands are strained when the protein is kept fixed. In addition, the best correlation (r (2) = 0.80) was obtained when only the QM energies were used, which suggests that the MM and continuum solvation energies are not accurate enough to predict the binding of a charged metal complex to a charged protein. Taking into account the protein flexibility by means of MD simulations slightly improves the correlation (r (2) = 0.91), but the absolute energies are still too large and the results are sensitive to the details in the calculations, illustrating that it is hard to obtain stable predictions when full flexible protein is included in the calculations.
我们进行了量子力学(QM)和 QM/MM(组合量子力学和分子力学)计算,以及分子动力学(MD)模拟,以研究一系列具有不同芳烃取代基的 RAPTA(Ru(II)-芳烃-1,3,5-三氮杂-7-膦酸三环[3.3.1.1]癸烷)配合物与组织蛋白酶 B 的结合。最近开发的 QM/MM-PBSA 方法(QM/MM 与泊松-玻尔兹曼溶剂可及表面积溶剂化相结合)用于估计结合亲和力。QM 计算在构象搜索后以 0.35-0.86 的相关系数(r(2))再现了配合物的抗肿瘤活性。当将蛋白质固定到晶体结构时,QM/MM-PBSA 方法给出了更好的相关性(r(2)= 0.59),但如果允许蛋白质松弛,则获得了更合理的配体结构和绝对结合能,表明当蛋白质保持固定时,配体受到应变。此外,仅使用 QM 能量时获得了最佳相关性(r(2)= 0.80),这表明 MM 和连续溶剂化能不足以预测带电金属配合物与带电蛋白质的结合。通过 MD 模拟考虑蛋白质的灵活性略微提高了相关性(r(2)= 0.91),但绝对能量仍然太大,结果对计算中的细节敏感,这表明当将完整的柔性蛋白质包含在计算中时,很难获得稳定的预测。