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dc.contributor.authorRoda, Sergi
dc.contributor.authorFernandez Lopez, Laura
dc.contributor.authorCañadas, Rubén
dc.contributor.authorSantiago, Gerard
dc.contributor.authorFerrer, Manuel
dc.contributor.authorGuallar, Victor
dc.contributor.otherBarcelona Supercomputing Center
dc.date.accessioned2021-03-10T12:26:50Z
dc.date.issued2021
dc.identifier.citationRoda, S. [et al.]. Computationally driven rational design of substrate promiscuity on serine ester hydrolases. "ACS Catalysis", 2021, vol. 11, p. 3590-3601.
dc.identifier.issn2155-5435
dc.identifier.urihttp://hdl.handle.net/2117/341397
dc.description.abstractEnzymes 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, EH102DM2 and EH102TM2, 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.
dc.description.sponsorshipThis work was funded by grant ‘INMARE’ from the European Union’s Horizon 2020 (grant agreement no. 634486), grants PCIN-2017-078 (within the Marine Biotechnology ERA-NET), and BIO2017-85522-R and PID2019-106370RB-I00 grants from the Spanish Ministry of Science and Innovation, Ministerio de Economía y Competitividad, Ministerio de Ciencia, Innovación y Universidades, Agencia Estatal de Investigación (AEI), Fondo Europeo de Desarrollo Regional (FEDER) and European Union (EU). This work has also been supported by a predoctoral fellowship from the Spanish Ministry of Science and Innovation (FPU19/00608).
dc.format.extent12 p.
dc.language.isoeng
dc.publisherAmerican Chemical Society
dc.relation.urihttps://pubs.acs.org/doi/10.1021/acscatal.0c05015?goto=supporting-info
dc.subjectÀrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica
dc.subject.lcshProtein engineering
dc.subject.otherComputational chemistry
dc.subject.otherSubstrate promiscuity
dc.subject.otherProtein engineering
dc.subject.otherEsterase
dc.subject.otherEnzymology
dc.titleComputationally driven rational design of substrate promiscuity on serine ester hydrolases
dc.typeArticle
dc.subject.lemacEnzims
dc.subject.lemacQuímica computacional
dc.identifier.doi10.1021/acscatal.0c05015
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://doi.org/10.1021/acscatal.0c05015
dc.rights.accessRestricted access - publisher's policy
dc.description.versionPostprint (author's final draft)
dc.date.lift2022-03-05
local.citation.publicationNameACS Catalysis
local.citation.volume11
local.citation.startingPage3590
local.citation.endingPage3601


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