Year: 2021
Type: article
Abstract: Enzymes with a broad substrate specificity are of great interest both at the basic and applied level. Understanding the main parameters that make an enzyme substrate ambiguous could be thus important not only for their selection from the ever-increasing amount of sequencing data but also for engineering a more substrate promiscuous variant. This issue, which remains unresolved, was herein investigated by targeting a serine ester hydrolase (EH102), which exhibits a narrow substrate spectrum, being only capable of hydrolyzing 16 out of 96 esters tested. By using a modeling approach, we demonstrated that one can rationalize active site parameters defining substrate promiscuity, and that based on them the substrate specificity can be significantly altered. This was accomplished by designing two variants, EH102 DM2 and EH102 TM2, that hydrolyze 51 and 63 esters, respectively, while maintaining similar or higher turnover rates compared to the original enzyme. We hypothesized that the parameters identified here (the volume, size, exposure, enclosure, hydrophobicity, and hydrophilicity of the active site cavity and its tightness) can serve in the future to expand the substrate spectra of esterases and thus expand their use in biotechnology and synthetic chemistry.
Source: ACS Catalysis
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
Funders: Ministerio de Ciencia, Innovación y Universidades, Marine Biotechnology ERA-NET, European Commission, Ministerio de Economía y Competitividad, Ministerio de Ciencia e Innovación, European Regional Development Fund, Agencia Estatal de Investigación, H2020 European Institute of Innovation and Technology
Awards: G1212307616, G1255781180, G2166609548, G2673512141, G321858532, Industrial Applications of Marine Enzymes: Innovative screening and expression platforms to discover and use the functional protein diversity from the sea, G3690828678, G3722519122, G422310995, G4726853716, G4950143647, G5516147548, G5555131222, G6739485595, G7122039080, G7218896207, G7984411334, G8197744367, G8260398903, G8581611709, G8684520763
OpenAlex ID: W3134837855