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Functionally important conformations of the Met20 loop in dihydrofolate reductase are populated by rapid thermal fluctuations.

ABSTRACT: Conformational changes in enzymes are well recognized to play an important role in the organization of the reactive groups for efficient catalysis. This study reveals atomic and energetic details of the conformational change process that precedes the catalytic reaction of the enzyme dihydrofolate reductase. The computed free energy profile provides insights into the ligand binding mechanism and a quantitative estimate of barrier heights separating different conformational states along the pathway. Studies show that the ternary complex comprised of NADPH cofactor and substrate dihydrofolate undergoes transitions between a closed state and an occluded state via an intermediate "open" conformation. During these transitions the largest conformational change occurs in the Met20 loop of DHFR and is accompanied by the motion of the cofactor into and out of the binding pocket. When the cofactor is out of the binding pocket, the enzyme frequently samples open and occluded conformations with a small (approximately 5 k(B)T) free energy barrier between the two states. However, when the cofactor is in the binding pocket, the closed conformation is thermodynamically most favored. The determination of a profile characterizing the position-dependent diffusion of the Met20 loop allowed us to apply reaction rate theory and deduce the kinetics of loop motions based on the computed free energy landscape.

SUBMITTER: Arora K

PROVIDER: S-EPMC2889193 | biostudies-literature | 2009 Apr

REPOSITORIES: biostudies-literature

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Functionally important conformations of the Met20 loop in dihydrofolate reductase are populated by rapid thermal fluctuations.

Arora Karunesh K Brooks Iii Charles L CL

Journal of the American Chemical Society 20090401 15

Conformational changes in enzymes are well recognized to play an important role in the organization of the reactive groups for efficient catalysis. This study reveals atomic and energetic details of the conformational change process that precedes the catalytic reaction of the enzyme dihydrofolate reductase. The computed free energy profile provides insights into the ligand binding mechanism and a quantitative estimate of barrier heights separating different conformational states along the pathwa ...[more]

PMID: 19323547

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Project description:Design of proteins with desired thermal properties is important for scientific and biotechnological applications. Here we developed a theoretical approach to predict the effect of mutations on protein stability from non-equilibrium unfolding simulations. We establish a relative measure based on apparent simulated melting temperatures that is independent of simulation length and, under certain assumptions, proportional to equilibrium stability, and we justify this theoretical development with extensive simulations and experimental data. Using our new method based on all-atom Monte-Carlo unfolding simulations, we carried out a saturating mutagenesis of Dihydrofolate Reductase (DHFR), a key target of antibiotics and chemotherapeutic drugs. The method predicted more than 500 stabilizing mutations, several of which were selected for detailed computational and experimental analysis. We find a highly significant correlation of r=0.65-0.68 between predicted and experimentally determined melting temperatures and unfolding denaturant concentrations for WT DHFR and 42 mutants. The correlation between energy of the native state and experimental denaturation temperature was much weaker, indicating the important role of entropy in protein stability. The most stabilizing point mutation was D27F, which is located in the active site of the protein, rendering it inactive. However for the rest of mutations outside of the active site we observed a weak yet statistically significant positive correlation between thermal stability and catalytic activity indicating the lack of a stability-activity tradeoff for DHFR. By combining stabilizing mutations predicted by our method, we created a highly stable catalytically active E. coli DHFR mutant with measured denaturation temperature 7.2°C higher than WT. Prediction results for DHFR and several other proteins indicate that computational approaches based on unfolding simulations are useful as a general technique to discover stabilizing mutations.

Dataset Information

Functionally important conformations of the Met20 loop in dihydrofolate reductase are populated by rapid thermal fluctuations.

Publications

Functionally important conformations of the Met20 loop in dihydrofolate reductase are populated by rapid thermal fluctuations.

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