Center for Molecular Modeling, Ghent University, Technologiepark 903, 9052 Zwijnaarde, Belgium, Department of Chemistry, University of South Florida, 4202 E. Fowler Avenue, CHE 205, Tampa, Florida 33620-5240, United States, Laboratory of Computational Biology, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland 20892, United States, and Q-Chem Inc., 5001 Baum Blvd, Suite 690, Pittsburgh, Pennsylvania 15213, United States.
J Chem Theory Comput. 2011 Feb 8;7(2):496-514. doi: 10.1021/ct100473f. Epub 2011 Jan 6.
The calculation of the analytical second derivative matrix (Hessian) is the bottleneck for vibrational analysis in QM/MM systems when an electrostatic embedding scheme is employed. Even with a small number of QM atoms in the system, the presence of MM atoms increases the computational cost dramatically: the long-range Coulomb interactions require that additional coupled perturbed self-consistent field (CPSCF) equations need to be solved for each MM atom displacement. This paper presents an extension to the Mobile Block Hessian (MBH) formalism for QM/MM calculations with blocks in the MM region and its implementation in a parallel version of the Q-Chem/CHARMM interface. MBH reduces both the CPU time and the memory requirements compared to the standard full Hessian QM/MM analysis, without the need to use a cutoff distance for the electrostatic interactions. Special attention is given to the treatment of link atoms which are usually present when the QM/MM border cuts through a covalent bond. Computational efficiency improvements are highlighted using a reduced chorismate mutase enzyme system, consisting of 24 QM atoms and 306 MM atoms, as a test example. In addition, the drug bortezomib, used for cancer treatment of myeloma, has been studied as a test case with multiple MBH block choices and both a QM and QM/MM description. The accuracy of the calculated Hessians is quantified by imposing Eckart constraints, which allows for the assessment of numerical errors in second derivative procedures. The results show that MBH within the QM/MM description not only is a computationally attractive method but also produces accurate results.
当采用静电嵌入方案时,计算分析二阶导数矩阵(Hessian)是 QM/MM 体系振动分析的瓶颈。即使体系中只有少量的QM 原子,MM 原子的存在也会极大地增加计算成本:长程库仑相互作用要求为每个 MM 原子位移额外求解附加的耦合微扰自洽场(CPSCF)方程。本文提出了一种在 MM 区域有块的 QM/MM 计算中扩展 Mobile Block Hessian(MBH)形式及其在 Q-Chem/CHARMM 接口的并行版本中的实现。MBH 与标准全 Hessian QM/MM 分析相比,既减少了 CPU 时间,又减少了内存需求,而无需对静电相互作用使用截止距离。特别关注当 QM/MM 边界穿过共价键时通常存在的链接原子的处理。使用简化的色氨酸酶酶系统作为测试示例,重点突出了计算效率的提高,该系统由 24 个 QM 原子和 306 个 MM 原子组成。此外,还研究了多发性骨髓瘤治疗用药物硼替佐米作为测试案例,选择了多个 MBH 块,并采用了 QM 和 QM/MM 描述。通过施加 Eckart 约束来量化计算 Hessian 的准确性,这允许评估二阶导数过程中的数值误差。结果表明,QM/MM 描述中的 MBH 不仅是一种具有吸引力的计算方法,而且还能产生准确的结果。