Literature DB >> 22710791

Redesign of enzyme for improving catalytic activity and enantioselectivity toward poor substrates: manipulation of the transition state.

Tadashi Ema1, Yasuko Nakano, Daiki Yoshida, Shusuke Kamata, Takashi Sakai.   

Abstract

Secondary alcohols having bulky substituents on both sides of the hydroxy group are inherently poor substrates for most lipases. In view of this weakness, we redesigned a Burkholderia cepacia lipase to create a variant with improved enzymatic characteristics. The I287F/I290A double mutant showed a high conversion and a high E value (>200) for a poor substrate for which the wild-type enzyme showed a low conversion and a low E value (5). This enhancement of catalytic activity and enantioselectivity of the variant resulted from the cooperative action of two mutations: Phe287 contributed to both enhancement of the (R)-enantiomer reactivity and suppression of the (S)-enantiomer reactivity, while Ala290 created a space to facilitate the acylation of the (R)-enantiomer. The kinetic constants indicated that the mutations effectively altered the transition state. Substrate mapping analysis strongly suggested that the CH/π interaction partly enhanced the (R)-enantiomer reactivity, the estimated energy of the CH/π interaction being -0.4 kcal mol(-1). The substrate scope of the I287F/I290A double mutant was broad. This biocatalyst was useful for the dynamic kinetic resolution of a variety of bulky secondary alcohols for which the wild-type enzyme shows little or no activity.

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Year:  2012        PMID: 22710791     DOI: 10.1039/c2ob25614b

Source DB:  PubMed          Journal:  Org Biomol Chem        ISSN: 1477-0520            Impact factor:   3.876


  3 in total

Review 1.  Chemoenzymatic dynamic kinetic resolution: a powerful tool for the preparation of enantiomerically pure alcohols and amines.

Authors:  Oscar Verho; Jan-E Bäckvall
Journal:  J Am Chem Soc       Date:  2015-03-19       Impact factor: 15.419

Review 2.  Recent advances in rational approaches for enzyme engineering.

Authors:  Kerstin Steiner; Helmut Schwab
Journal:  Comput Struct Biotechnol J       Date:  2012-10-22       Impact factor: 7.271

3.  Enhancement of protein thermostability by three consecutive mutations using loop-walking method and machine learning.

Authors:  Kazunori Yoshida; Shun Kawai; Masaya Fujitani; Satoshi Koikeda; Ryuji Kato; Tadashi Ema
Journal:  Sci Rep       Date:  2021-06-04       Impact factor: 4.379

  3 in total

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