Literature DB >> 15904045

Quantum mechanical free energy barrier for an enzymatic reaction.

Thomas H Rod1, Ulf Ryde.   

Abstract

We discuss problems related to in silico studies of enzymes and show that accurate and converged free energy changes for complex chemical reactions can be computed if a method based on a thermodynamic cycle is employed. The method combines the sampling speed of molecular mechanics with the accuracy of a high-level quantum mechanics method. We use the method to compute the free energy barrier for a methyl transfer reaction catalyzed by the enzyme catechol O-methyltransferase at the level of density functional theory. The surrounding protein and solvent are found to have a profound effect on the reaction, and we show that energies can be extrapolated easily from one basis set and exchange-correlation functional to another. Using this procedure we calculate a barrier of 69 kJ/mol, in excellent agreement with the experimental value of 75 kJ/mol.

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Year:  2005        PMID: 15904045     DOI: 10.1103/PhysRevLett.94.138302

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  39 in total

1.  Ab initio quantum mechanical/molecular mechanical molecular dynamics simulation of enzyme catalysis: the case of histone lysine methyltransferase SET7/9.

Authors:  Shenglong Wang; Po Hu; Yingkai Zhang
Journal:  J Phys Chem B       Date:  2007-03-22       Impact factor: 2.991

2.  Accelerating QM/MM free energy calculations: representing the surroundings by an updated mean charge distribution.

Authors:  Edina Rosta; Maciej Haranczyk; Zhen T Chu; Arieh Warshel
Journal:  J Phys Chem B       Date:  2008-04-16       Impact factor: 2.991

3.  Accelerated Computation of Free Energy Profile at Ab Initio Quantum Mechanical/Molecular Mechanics Accuracy via a Semiempirical Reference Potential. 4. Adaptive QM/MM.

Authors:  Jia-Ning Wang; Wei Liu; Pengfei Li; Yan Mo; Wenxin Hu; Jun Zheng; Xiaoliang Pan; Yihan Shao; Ye Mei
Journal:  J Chem Theory Comput       Date:  2021-02-16       Impact factor: 6.006

4.  Predicting hydration free energies with a hybrid QM/MM approach: an evaluation of implicit and explicit solvation models in SAMPL4.

Authors:  Gerhard König; Frank C Pickard; Ye Mei; Bernard R Brooks
Journal:  J Comput Aided Mol Des       Date:  2014-02-07       Impact factor: 3.686

5.  Paradynamics: an effective and reliable model for ab initio QM/MM free-energy calculations and related tasks.

Authors:  Nikolay V Plotnikov; Shina C L Kamerlin; Arieh Warshel
Journal:  J Phys Chem B       Date:  2011-05-27       Impact factor: 2.991

6.  How accurate are approximate quantum chemical methods at modelling solute-solvent interactions in solvated clusters?

Authors:  Junbo Chen; Bun Chan; Yihan Shao; Junming Ho
Journal:  Phys Chem Chem Phys       Date:  2020-02-19       Impact factor: 3.676

7.  Calculating distribution coefficients based on multi-scale free energy simulations: an evaluation of MM and QM/MM explicit solvent simulations of water-cyclohexane transfer in the SAMPL5 challenge.

Authors:  Gerhard König; Frank C Pickard; Jing Huang; Andrew C Simmonett; Florentina Tofoleanu; Juyong Lee; Pavlo O Dral; Samarjeet Prasad; Michael Jones; Yihan Shao; Walter Thiel; Bernard R Brooks
Journal:  J Comput Aided Mol Des       Date:  2016-08-30       Impact factor: 3.686

8.  Molecular Dynamics Simulations with Quantum Mechanics/Molecular Mechanics and Adaptive Neural Networks.

Authors:  Lin Shen; Weitao Yang
Journal:  J Chem Theory Comput       Date:  2018-02-26       Impact factor: 6.006

Review 9.  Progress in ab initio QM/MM free-energy simulations of electrostatic energies in proteins: accelerated QM/MM studies of pKa, redox reactions and solvation free energies.

Authors:  Shina C L Kamerlin; Maciej Haranczyk; Arieh Warshel
Journal:  J Phys Chem B       Date:  2009-02-05       Impact factor: 2.991

Review 10.  At the dawn of the 21st century: Is dynamics the missing link for understanding enzyme catalysis?

Authors:  Shina C L Kamerlin; Arieh Warshel
Journal:  Proteins       Date:  2010-05-01
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