首页> 外文期刊>Journal of Computational Chemistry: Organic, Inorganic, Physical, Biological >Combining a polarizable force-field and a coarse-grained polarizable solvent model: Application to long dynamics simulations of bovine pancreatic trypsin inhibitor
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Combining a polarizable force-field and a coarse-grained polarizable solvent model: Application to long dynamics simulations of bovine pancreatic trypsin inhibitor

机译:结合可极化的力场和粗粒可极化的溶剂模型:在牛胰胰蛋白酶抑制剂的长动态模拟中的应用

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The dynamic coupling between a polarizable protein force field and a particle-based implicit solvent model is described. The polarizable force field, TCPEp, developed recently to simulate protein systems, is characterized by a reduced number of polarizable sites, with a substantial gain in efficiency for an equal chemical accuracy. The Polarizable Pseudo-Particle (PPP) solvent model represents the macroscopic solvent polarization by induced dipoles placed on mobile Lennard-Jones pseudo-particles. The solvent-induced dipoles are sensitive to the solute electric field, but not to each other, so that the computational cost of solvent-solvent interactions is basically negligible. The solute and solvent induced dipoles are determined self-consistently and the equations of motion are solved using an efficient iterative multiple time step procedure. The solvation cost with respect to vacuum simulations is shown to decrease with solute size: the estimated multiplicative factor is 2.5 for a protein containing about 1000 atoms, and as low as 1.15 for 8000 atoms. The model is tested for six 20 us molecular dynamics trajectories of a traditional benchmark system: the hydrated Bovine Pancreatic Trypsin Inhibitor (BPTI). Even though the TCPEp parameters have not been refined to be used with the solvent PPP model, we observe a good conservation of the BPTI structure along the trajectories. Moreover, our approach is able to provide a description of the protein solvation thermodynamic at the same accuracy as the standard Poisson-Boltzrnan continuum methods. It provides in addition a good description of the microscopic structural aspects concerning the solute/solvent interaction. (c) 2008 Wiley Periodicals, Inc.
机译:描述了可极化蛋白质力场与基于粒子的隐式溶剂模型之间的动态耦合。最近开发出的可极化力场TCPEp用于模拟蛋白质系统,其特点是可极化位点数量减少,并且在获得相同化学精度的情况下,效率显着提高。极化伪粒子(PPP)溶剂模型表示由放置在移动Lennard-Jones伪粒子上的感应偶极子引起的宏观溶剂极化。溶剂诱导的偶极子对溶质电场敏感,但对彼此不敏感,因此溶剂-溶剂相互作用的计算成本基本上可以忽略不计。溶质和溶剂诱导的偶极子可以自洽确定,并且可以使用有效的迭代多时间步长程序来求解运动方程。相对于真空模拟,溶剂化成本随溶质大小而降低:对于包含约1000个原子的蛋白质,估计的乘数为2.5,而对于8000个原子,其乘积因数低至1.15。该模型针对传统基准系统的六个20 us分子动力学轨迹进行了测试:水合牛胰胰蛋白酶抑制剂(BPTI)。即使尚未精炼TCPEp参数以用于溶剂PPP模型,我们也观察到沿轨迹的BPTI结构具有良好的守恒性。而且,我们的方法能够以与标准Poisson-Boltzrnan连续谱方法相同的精度提供蛋白质溶剂化热力学的描述。此外,它提供了有关溶质/溶剂相互作用的微观结构方面的良好描述。 (c)2008年Wiley Periodicals,Inc.

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