4.4 Article

Rational Engineering of Multiple Active Sites in an Ester Hydrolase

Journal

BIOCHEMISTRY
Volume 57, Issue 15, Pages 2245-2255

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acs.biochem.8b00274

Keywords

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Funding

  1. European Union's Horizon research and innovation program [Blue Growth: Unlocking the potential of Seas and Oceans] [634486]
  2. Spanish Ministry of Economy, Industry and Competitiveness [PCIN-2014-107, ERA-IB-14-030, PCIN-2017-078, BIO2014-54494-R, CTQ2016-79138-R, BIO2017-85522-R]
  3. UK Biotechnology and Biological Sciences Research Council [BB/M029085/1]
  4. Supercomputing Wales project - European Regional Development Fund (ERDF) via Welsh Government
  5. Centre of Environmental Biotechnology Project - European Regional Development Fund (ERDF) through the Welsh Government
  6. European Regional Development Fund (ERDF)
  7. [PT13/0001]
  8. BBSRC [BB/M029085/1] Funding Source: UKRI

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Effects of altering the properties of an active site in an enzymatic homogeneous catalyst have been extensively reported. However, the possibility of increasing the number of such sites, as commonly done in heterogeneous catalytic materials, remains unexplored, particularly because those have to accommodate appropriate residues in specific configurations. This possibility was investigated by using a serine ester hydrolase as the target enzyme. By using the Protein Energy Landscape Exploration software, which maps ligand diffusion and binding, we found a potential binding pocket capable of holding an extra catalytic triad and oxyanion hole contacts. By introducing two mutations, this binding pocket became a catalytic site. Its substrate specificity, substrate preference, and catalytic activity were different from those of the native site of the wild type ester hydrolase and other hydrolases, due to the differences in the active site architecture. Converting the binding pocket into an extra catalytic active site was proven to be a successful approach to create a serine ester hydrolase with two functional reactive groups. Our results illustrate the accuracy and predictive nature of modern modeling techniques, opening novel catalytic opportunities coming from the presence of different catalytic environments in single enzymes.

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