Large-Scale Density Functional Theory Transition State Searching in Enzymes

被引:48
|
作者
Lever, Greg [1 ]
Cole, Daniel J. [1 ,2 ]
Lonsdale, Richard [3 ]
Ranaghan, Kara E. [3 ]
Wales, David J. [4 ]
Mulholland, Adrian J. [3 ]
Skylaris, Chris-Kriton [5 ]
Payne, Mike C. [1 ]
机构
[1] Univ Cambridge, Cavendish Lab, Condensed Matter Theory Grp, Cambridge CB3 0HE, England
[2] Yale Univ, Dept Chem, New Haven, CT 06520 USA
[3] Univ Bristol, Sch Chem, Ctr Computat Chem, Bristol BS8 1TS, Avon, England
[4] Univ Chem Lab, Cambridge CB2 1EW, England
[5] Univ Southampton, Sch Chem, Southampton SO17 1BJ, Hants, England
来源
基金
英国工程与自然科学研究理事会; 英国生物技术与生命科学研究理事会;
关键词
CURVILINEAR COORDINATE APPROXIMATION; MONOFUNCTIONAL CHORISMATE MUTASE; BACILLUS-SUBTILIS; CONFORMATIONAL EQUILIBRIUM; LIGAND-BINDING; GEOMETRY; STABILIZATION; REARRANGEMENT; SPECTROSCOPY; PREPHENATE;
D O I
10.1021/jz5018703
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Linear-scaling quantum mechanical density functional theory calculations have been applied to study the rearrangement of chorismate to prephenate in large-scale models of the Bacillus subtilis chorismate mutase enzyme. By treating up to 2000 atoms at a consistent quantum mechanical level of theory, we obtain an unbiased, almost parameter-free description of the transition state geometry and energetics. The activation energy barrier is calculated to be lowered by 10.5 kcal mol(-1) in the enzyme, compared with the equivalent reaction in water, which is in good agreement with experiment. Natural bond orbital analysis identifies a number of active site residues that are important for transition state stabilization in chorismate mutase. This benchmark study demonstrates that linear-scaling density functional theory techniques are capable of simulating entire enzymes at the ab initio quantum mechanical level of accuracy. [GRAPHICS]
引用
收藏
页码:3614 / 3619
页数:6
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