Literature DB >> 14622003

Reaction-path energetics and kinetics of the hydride transfer reaction catalyzed by dihydrofolate reductase.

Mireia Garcia-Viloca1, Donald G Truhlar, Jiali Gao.   

Abstract

We have studied the hydride transfer reaction catalyzed by the enzyme dihydrofolate reductase (DHFR) and the coenzyme nicotinamide adenine dinucleotide phosphate (NADPH); the substrate is 5-protonated 7,8-dihydrofolate, and the product is tetrahydrofolate. The potential energy surface is modeled by a combined quantum mechanical-molecular mechanical (QM/MM) method employing Austin model 1 (AM1) and a simple valence bond potential for 69 QM atoms and employing the CHARMM22 and TIP3P molecular mechanics force fields for the other 21 399 atoms; the QM and MM regions are joined by two boundary atoms treated by the generalized hybrid orbital (GHO) method. All simulations are carried out using periodic boundary conditions at neutral pH and 298 K. In stage 1, a reaction coordinate is defined as the difference between the breaking and forming bond distances to the hydride ion, and a quasithermodynamic free energy profile is calculated along this reaction coordinate. This calculation includes quantization effects on bound vibrations but not on the reaction coordinate, and it is used to locate the variational transition state that defines a transition state ensemble. Then, the key interactions at the reactant, variational transition state, and product are analyzed in terms of both bond distances and electrostatic energies. The results of both analyses support the conclusion derived from previous mutational studies that the M20 loop of DHFR makes an important contribution to the electrostatic stabilization of the hydride transfer transition state. Third, transmission coefficients (including recrossing factors and multidimensional tunneling) are calculated and averaged over the transition state ensemble. These averaged transmission coefficients, combined with the quasithermodynamic free energy profile determined in stage 1, allow us to calculate rate constants, phenomenological free energies of activation, and primary and secondary kinetic isotope effects. A primary kinetic isotope effect (KIE) of 2.8 has been obtained, in good agreement with the experimentally determined value of 3.0 and with the value 3.2 calculated previously. The primary KIE is mainly a consequence of the quantization of bound vibrations. In contrast, the secondary KIE, with a value of 1.13, is almost entirely due to dynamical effects on the reaction coordinate, especially tunneling.

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Year:  2003        PMID: 14622003     DOI: 10.1021/bi034824f

Source DB:  PubMed          Journal:  Biochemistry        ISSN: 0006-2960            Impact factor:   3.162


  77 in total

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3.  Impact of distal mutations on the network of coupled motions correlated to hydride transfer in dihydrofolate reductase.

Authors:  Kim F Wong; Tzvia Selzer; Stephen J Benkovic; Sharon Hammes-Schiffer
Journal:  Proc Natl Acad Sci U S A       Date:  2005-04-05       Impact factor: 11.205

4.  Nonperfect synchronization of reaction center rehybridization in the transition state of the hydride transfer catalyzed by dihydrofolate reductase.

Authors:  Jingzhi Pu; Shuhua Ma; Mireia Garcia-Viloca; Jiali Gao; Donald G Truhlar; Amnon Kohen
Journal:  J Am Chem Soc       Date:  2005-10-26       Impact factor: 15.419

5.  The role of enzyme dynamics and tunnelling in catalysing hydride transfer: studies of distal mutants of dihydrofolate reductase.

Authors:  Lin Wang; Nina M Goodey; Stephen J Benkovic; Amnon Kohen
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Authors:  J R E T Pineda; S D Schwartz
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2006-08-29       Impact factor: 6.237

Review 7.  Mechanisms and free energies of enzymatic reactions.

Authors:  Jiali Gao; Shuhua Ma; Dan T Major; Kwangho Nam; Jingzhi Pu; Donald G Truhlar
Journal:  Chem Rev       Date:  2006-08       Impact factor: 60.622

Review 8.  Multidimensional tunneling, recrossing, and the transmission coefficient for enzymatic reactions.

Authors:  Jingzhi Pu; Jiali Gao; Donald G Truhlar
Journal:  Chem Rev       Date:  2006-08       Impact factor: 60.622

9.  Computational approach for ranking mutant enzymes according to catalytic reaction rates.

Authors:  Malika Kumarasiri; Gregory A Baker; Alexander V Soudackov; Sharon Hammes-Schiffer
Journal:  J Phys Chem B       Date:  2009-03-19       Impact factor: 2.991

10.  Computational identification of slow conformational fluctuations in proteins.

Authors:  Arvind Ramanathan; Pratul K Agarwal
Journal:  J Phys Chem B       Date:  2009-12-31       Impact factor: 2.991

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