Computational Mutation Design of Diol Dehydratase: Catalytic Ability toward Glycerol beyond the Wild-Type Enzyme

A computational mutation analysis based on quantum mechanical/molecular mechanical (QM/MM) calculations is performed for the elucidation of catalytic functions of amino acid residues at the active site of diol dehydratase in the dehydration of glycerol to afford 3-hydroxypropionaldehyde. While the w...

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Published inBulletin of the Chemical Society of Japan Vol. 87; no. 9; pp. 950 - 959
Main Authors Doitomi, Kazuki, Tanaka, Hiromasa, Kamachi, Takashi, Toraya, Tetsuo, Yoshizawa, Kazunari
Format Journal Article
LanguageEnglish
Published The Chemical Society of Japan 15.09.2014
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ISSN0009-2673
1348-0634
DOI10.1246/bcsj.20140115

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Summary:A computational mutation analysis based on quantum mechanical/molecular mechanical (QM/MM) calculations is performed for the elucidation of catalytic functions of amino acid residues at the active site of diol dehydratase in the dehydration of glycerol to afford 3-hydroxypropionaldehyde. While the wild-type diol dehydratase is subject to suicide inactivation in the dehydration process, mutants Gln336Ala and Ser301Ala are more resistant to the inactivation by glycerol (Yamanishi et al., FEBS J. 2012, 279, 793). In the present study the impact of the mutation is discussed on the basis of energy profiles of two reaction pathways for the dehydration of glycerol and the inactivation of the enzyme. Both the mutants efficiently distinguish between two possible binding conformations of glycerol, the GS and GR conformations, where the former is known to mainly contribute to the inactivation of the enzyme. The improved resistance to the inactivation observed for the mutants can be explained by a hydrogen-bonding interaction between an OH group of glycerol and Ser301 as well as steric repulsion between glycerol and Val300. The computational mutation analysis first unveils the vital role of Val300 in the discrimination of the GS and GR conformations, which was not clearly viewed in the wild-type enzyme. The present findings will encourage the application of computational mutation approach to the rational design of enzymes optimized for desired organic synthesis.
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ISSN:0009-2673
1348-0634
DOI:10.1246/bcsj.20140115