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Computational design of Candida boidinii xylose reductase for altered cofactor specificity.

ABSTRACT: In this study we introduce a computationally-driven enzyme redesign workflow for altering cofactor specificity from NADPH to NADH. By compiling and comparing data from previous studies involving cofactor switching mutations, we show that their effect cannot be explained as straightforward changes in volume, hydrophobicity, charge, or BLOSUM62 scores of the residues populating the cofactor binding site. Instead, we find that the use of a detailed cofactor binding energy approximation is needed to adequately capture the relative affinity towards different cofactors. The implicit solvation models Generalized Born with molecular volume integration and Generalized Born with simple switching were integrated in the iterative protein redesign and optimization (IPRO) framework to drive the redesign of Candida boidinii xylose reductase (CbXR) to function using the non-native cofactor NADH. We identified 10 variants, out of the 8,000 possible combinations of mutations, that improve the computationally assessed binding affinity for NADH by introducing mutations in the CbXR binding pocket. Experimental testing revealed that seven out of ten possessed significant xylose reductase activity utilizing NADH, with the best experimental design (CbXR-GGD) being 27-fold more active on NADH. The NADPH-dependent activity for eight out of ten predicted designs was either completely abolished or significantly diminished by at least 90%, yielding a greater than 10(4)-fold change in specificity to NADH (CbXR-REG). The remaining two variants (CbXR-RTT and CBXR-EQR) had dual cofactor specificity for both nicotinamide cofactors.

SUBMITTER: Khoury GA

PROVIDER: S-EPMC2786976 | biostudies-literature | 2009 Oct

REPOSITORIES: biostudies-literature

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Computational design of Candida boidinii xylose reductase for altered cofactor specificity.

Khoury George A GA Fazelinia Hossein H Chin Jonathan W JW Pantazes Robert J RJ Cirino Patrick C PC Maranas Costas D CD

Protein science : a publication of the Protein Society 20091001 10

In this study we introduce a computationally-driven enzyme redesign workflow for altering cofactor specificity from NADPH to NADH. By compiling and comparing data from previous studies involving cofactor switching mutations, we show that their effect cannot be explained as straightforward changes in volume, hydrophobicity, charge, or BLOSUM62 scores of the residues populating the cofactor binding site. Instead, we find that the use of a detailed cofactor binding energy approximation is needed to ...[more]

PMID: 19693930

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Project description:An advanced strategy of Saccharomyces cerevisiae strain development for fermentation of xylose applies tailored enzymes in the process of metabolic engineering. The coenzyme specificities of the NADPH-preferring xylose reductase (XR) and the NAD?-dependent xylitol dehydrogenase (XDH) have been targeted in previous studies by protein design or evolution with the aim of improving the recycling of NADH or NADPH in their two-step pathway, converting xylose to xylulose. Yeast strains expressing variant pairs of XR and XDH that according to in vitro kinetic data were suggested to be much better matched in coenzyme usage than the corresponding pair of wild-type enzymes, exhibit widely varying capabilities for xylose fermentation. To achieve coherence between enzyme properties and the observed strain performance during fermentation, we explored the published kinetic parameters for wild-type and engineered forms of XR and XDH as possible predictors of xylitol by-product formation (Y(xylitol)) in yeast physiology. We found that the ratio of enzymatic reaction rates using NADP(H) and NAD(H) that was calculated by applying intracellular reactant concentrations to rate equations derived from bi-substrate kinetic analysis, succeeded in giving a statistically reliable forecast of the trend effect on Y(xylitol). Prediction based solely on catalytic efficiencies with or without binding affinities for NADP(H) and NAD(H) were not dependable, and we define a minimum demand on the enzyme kinetic characterization to be performed for this purpose. An immediate explanation is provided for the typically lower Y(xylitol) in the current strains harboring XR engineered for utilization of NADH as compared to strains harboring XDH engineered for utilization of NADP?. The known XDH enzymes all exhibit a relatively high K(m) for NADP? so that physiological boundary conditions are somewhat unfavorable for xylitol oxidation by NADP?. A criterion of physiological fitness is developed for engineered XR working together with wild-type XDH.

Dataset Information

Computational design of Candida boidinii xylose reductase for altered cofactor specificity.

Publications

Computational design of Candida boidinii xylose reductase for altered cofactor specificity.

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