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Data characterizing the energetics of enzyme-catalyzed hydrolysis and transglycosylation reactions by DFT cluster model calculations.

ABSTRACT: The data presented in this paper are related to the research article entitled "QM/MM modeling of the hydrolysis and transfructosylation reactions of fructosyltransferase from Aspergillus japonicas, an enzyme that produces prebiotic fructooligosaccharide" (Jitonnom et al., 2018) [1]. This paper presents the procedure and data for characterizing the whole relative energy profiles of hydrolysis and transglycosylation reactions whose elementary steps differ in chemical composition. The data also reflects the choices of the QM cluster model, the functional/basis set method and the equations in determining the reaction energetics.

SUBMITTER: Jitonnom J

PROVIDER: S-EPMC5988397 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature

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Data characterizing the energetics of enzyme-catalyzed hydrolysis and transglycosylation reactions by DFT cluster model calculations.

Jitonnom Jitrayut J

Data in brief 20180207

The data presented in this paper are related to the research article entitled "QM/MM modeling of the hydrolysis and transfructosylation reactions of fructosyltransferase from <i>Aspergillus japonicas</i>, an enzyme that produces prebiotic fructooligosaccharide" (Jitonnom et al., 2018) [1]. This paper presents the procedure and data for characterizing the whole relative energy profiles of hydrolysis and transglycosylation reactions whose elementary steps differ in chemical composition. The data a ...[more]

PMID: 29876439

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Project description:The synthesis of oligosaccharides and other carbohydrate derivatives is of relevance for the advancement of glycosciences both at the fundamental and applied level. For many years, glycosyl hydrolases (GHs) have been explored to catalyze the synthesis of glycosidic bonds. In particular, retaining GHs can catalyze a transglycosylation (T) reaction that competes with hydrolysis (H). This has been done either employing controlled conditions in wild type GHs or by engineering new mutants. The goal, which is to increase the T/H ratio, has been achieved with moderate success in several cases despite the fact that the molecular basis for T/H modulation are unclear. Here we have used QM(DFT)/MM calculations to compare the glycosylation, hydrolysis and transglycosylation steps catalyzed by wild type Thermus thermophilus ?-glycosidase (family GH1), a retaining glycosyl hydrolase for which a transglycosylation yield of 36% has been determined experimentally. The three transition states have a strong oxocarbenium character and ring conformations between 4H3 and 4E. The atomic charges at the transition states for hydrolysis and transglycosylation are very similar, except for the more negative charge of the oxygen atom of water when compared to that of the acceptor Glc. The glycosylation transition state has a stronger S N 2 character than the deglycosylation ones and the proton transfer is less advanced. At the QM(PBE0/TZVP)/MM level, the TS for transglycosylation has shorter O4GLC-C1FUC (forming bond) distance and longer OE2GLU338-C1FUC (breaking) distance than the hydrolysis one, although the HACC proton is closer to the Glu164 base in the hydrolysis TS. The QM(SCC-DFTB)/MM free energy maxima show the inverted situation, although the hydrolysis TS presents significant structural fluctuations. The 3-OHGLC group of the acceptor Glc (transglycosylation) and WAT432 (neighbor water in hydrolysis) are identified to stabilize the oxocarbenium transition states through interaction with O5FUC and O4FUC. The analysis of interaction suggests that perturbing the Glu392-Fuc interaction could increase the T/H ratio, either by direct mutation of this residue or indirectly as reported experimentally in the Asn390I and Phe401S cases. The molecular understanding of similarities and differences between hydrolysis and transglycosylation steps may be of help in the design of new biocatalysts for glycan synthesis.

Project description:Two models (I and II) for the active site structure of class-I ribonucleotide reductase (RNR) intermediate X in subunit R2 have been studied in this paper, using broken-symmetry density functional theory (DFT) incorporated with the conductor like screening (COSMO) solvation model and with the finite-difference Poisson-Boltzmann self-consistent reaction field (PB-SCRF) calculations. Only one of the bridging groups between the two iron centers is different between model-I and model-II. Model-I contains two mu-oxo bridges, while model-II has one bridging oxo and one bridging hydroxo. These are large active site models including up to the fourth coordination shell H-bonding residues. Mössbauer and ENDOR hyperfine property calculations show that model-I is more likely to represent the active site structure of RNR-X. However, energetically our pK(a) calculations at first highly favored the bridging oxo and hydroxo (in model-II) structure of the diiron center rather than having the di-oxo bridge (in model-I). Since the Arg236 and the nearby Lys42, which are very close to the diiron center, are on the protein surface of RNR-R2, it is highly feasible that one or two anion groups in solution would interact with the positively charged side chains of Arg236 and Lys42. The anion group(s) can be a reductant, phosphate, sulfate, nitrate, and other negatively charged groups existing in biological environments or in the buffer of the experiment. Since sulfate ions certainly exist in the buffer of the ENDOR experiment, we have examined the effect of the sulfate (SO(4)(2-), surrounded by explicit water molecules) H-bonding to the side chain of Arg236. We find that when sulfate interacts with Arg236, the carboxylate group of Asp237 tends to be protonated, and once Asp237 is protonated, the Fe(iii)Fe(iv) center in X favors the di-oxo bridge (model-I). This would explain that the ENDOR observed RNR-X active site structure is likely to be represented by model-I rather than model-II.

Dataset Information

Data characterizing the energetics of enzyme-catalyzed hydrolysis and transglycosylation reactions by DFT cluster model calculations.

Publications

Data characterizing the energetics of enzyme-catalyzed hydrolysis and transglycosylation reactions by DFT cluster model calculations.

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