Dual QM and MM Approach for Computing Equilibrium Isotope Fractionation Factor of Organic Species in Solution.
Dual QM and MM Approach for Computing Equilibrium Isotope Fractionation Factor of Organic Species in Solution.
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用于计算溶液中有机物质的平衡同位素分馏因子的双QM和MM方法。
DOI:
10.3390/molecules23102644
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发表时间:
2018-10-15
期刊:
影响因子:
--
通讯作者:
Gao J
中科院分区:
文献类型:
--
作者:
Liu M;Youmans KN;Gao J
A dual QM and MM approach for computing equilibrium isotope effects has been described. In the first partition, the potential energy surface is represented by a combined quantum mechanical and molecular mechanical (QM/MM) method, in which a solute molecule is treated quantum mechanically, and the remaining solvent molecules are approximated classically by molecular mechanics. In the second QM/MM partition, differential nuclear quantum effects responsible for the isotope effect are determined by a statistical mechanical double-averaging formalism, in which the nuclear centroid distribution is sampled classically by Newtonian molecular dynamics and the quantum mechanical spread of quantized particles about the centroid positions is treated using the path integral (PI) method. These partitions allow the potential energy surface to be properly represented such that the solute part is free of nuclear quantum effects for nuclear quantum mechanical simulations, and the double-averaging approach has the advantage of sampling efficiency for solvent configuration and for path integral convergence. Importantly, computational precision is achieved through free energy perturbation (FEP) theory to alchemically mutate one isotope into another. The PI-FEP approach is applied to model systems for the 18O enrichment found in cellulose of trees to determine the isotope enrichment factor of carbonyl compounds in water. The present method may be useful as a general tool for studying isotope fractionation in biological and geochemical systems.
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影响因子:
--
作者:
Gao J
通讯作者:
Gao J
影响因子:
15
作者:
Byun, Y;Mo, YR;Gao, JL
通讯作者:
Gao, JL
影响因子:
4.4
作者:
Cao, JS;Voth, GA
通讯作者:
Voth, GA
影响因子:
2.9
作者:
Fan Y;Cembran A;Ma S;Gao J
通讯作者:
Gao J
影响因子:
4.4
作者:
CAO, JS;VOTH, GA
通讯作者:
VOTH, GA