Aqueous ionic liquids redistribute local enzyme stability via long-range perturbation pathways

dc.bibliographicCitation.firstPage4248eng
dc.bibliographicCitation.journalTitleComputational and structural biotechnology journaleng
dc.bibliographicCitation.lastPage4264eng
dc.bibliographicCitation.volume19eng
dc.contributor.authorEl Harrar, Till
dc.contributor.authorFrieg, Benedikt
dc.contributor.authorDavari, Mehdi D.
dc.contributor.authorJaeger, Karl-Erich
dc.contributor.authorSchwaneberg, Ulrich
dc.contributor.authorGohlke, Holger
dc.date.accessioned2022-01-17T12:20:34Z
dc.date.available2022-01-17T12:20:34Z
dc.date.issued2021
dc.description.abstractIonic liquids (IL) and aqueous ionic liquids (aIL) are attractive (co-)solvents for biocatalysis due to their unique properties. On the other hand, the incubation of enzymes in IL or aIL often reduces enzyme activity. Recent studies proposed various aIL-induced effects to explain the reduction, classified as direct effects, e.g., local dehydration or competitive inhibition, and indirect effects, e.g., structural perturbations or disturbed catalytic site integrity. However, the molecular origin of indirect effects has largely remained elusive. Here we show by multi-μs long molecular dynamics simulations, free energy computations, and rigidity analyses that aIL favorably interact with specific residues of Bacillus subtilis Lipase A (BsLipA) and modify the local structural stability of this model enzyme by inducing long-range perturbations of noncovalent interactions. The perturbations percolate over neighboring residues and eventually affect the catalytic site and the buried protein core. Validation against a complete experimental site saturation mutagenesis library of BsLipA (3620 variants) reveals that the residues of the perturbation pathways are distinguished sequence positions where substitutions highly likely yield significantly improved residual activity. Our results demonstrate that identifying these perturbation pathways and specific IL ion-residue interactions there effectively predicts focused variant libraries with improved aIL tolerance.eng
dc.description.versionpublishedVersioneng
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/7829
dc.identifier.urihttps://doi.org/10.34657/6870
dc.language.isoengeng
dc.publisherGotenburg : Research Network of Computational and Structural Biotechnology (RNCSB)eng
dc.relation.doihttps://doi.org/10.1016/j.csbj.2021.07.001
dc.relation.essn2001-0370
dc.rights.licenseCC BY 4.0 Unportedeng
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/eng
dc.subject.ddc570eng
dc.subject.otherAllosteryeng
dc.subject.otherBiocatalysiseng
dc.subject.otherIonic liquidseng
dc.subject.otherMolecular dynamics simulationseng
dc.subject.otherProtein engineeringeng
dc.subject.otherProtein stabilityeng
dc.titleAqueous ionic liquids redistribute local enzyme stability via long-range perturbation pathwayseng
dc.typeArticleeng
dc.typeTexteng
tib.accessRightsopenAccesseng
wgl.contributorDWIeng
wgl.subjectBiowissensschaften/Biologieeng
wgl.typeZeitschriftenartikeleng
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