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Candida antarctica lipase B performance in organic solvent at varying water activities studied by molecular dynamics simulations

Applications of lipases in low-water environments are found across a broad range of industries, including the pharmaceutical and oleochemical sectors. This includes condensation reactions in organic solvents where the enzyme activity has been found to depend strongly on both the solvent and the wate...

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Autores principales: Tjørnelund, Helena D., Vind, Jesper, Brask, Jesper, Woodley, John M., Peters, Günther H.J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10665702/
https://www.ncbi.nlm.nih.gov/pubmed/38022691
http://dx.doi.org/10.1016/j.csbj.2023.10.049
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author Tjørnelund, Helena D.
Vind, Jesper
Brask, Jesper
Woodley, John M.
Peters, Günther H.J.
author_facet Tjørnelund, Helena D.
Vind, Jesper
Brask, Jesper
Woodley, John M.
Peters, Günther H.J.
author_sort Tjørnelund, Helena D.
collection PubMed
description Applications of lipases in low-water environments are found across a broad range of industries, including the pharmaceutical and oleochemical sectors. This includes condensation reactions in organic solvents where the enzyme activity has been found to depend strongly on both the solvent and the water activity (a(w)). Despite several experimental and computational studies, knowledge is largely empirical, and a general predictive approach is much needed. To close this gap, we chose native Candida antarctica lipase B (CALB) and two mutants thereof and used molecular dynamics (MD) simulations to gain a molecular understanding of the effect of a(w) on the specific activity of CALB in hexane. Based on the simulations, we propose four criteria to understand the performance of CALB in organic media, which is supported by enzyme kinetics experiments. First, the lipase must be stable in the organic solvent, which was the case for native CALB and the two mutants studied here. Secondly, water clusters that form and grow close to the active site must not block the path of substrate molecules into the active site. Thirdly, the lipase’s lid must not cover the active site. Finally, mutations and changes in a(w) must not disrupt the geometry of the active site. We show that mutating specific residues close to the active site can hinder water cluster formation and growth, making the lipase resistant to changes in a(w). Our computational screening criteria could potentially be used to screen in-silico designed variants, so only promising candidates could be pushed forward to characterisation.
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spelling pubmed-106657022023-10-31 Candida antarctica lipase B performance in organic solvent at varying water activities studied by molecular dynamics simulations Tjørnelund, Helena D. Vind, Jesper Brask, Jesper Woodley, John M. Peters, Günther H.J. Comput Struct Biotechnol J Research Article Applications of lipases in low-water environments are found across a broad range of industries, including the pharmaceutical and oleochemical sectors. This includes condensation reactions in organic solvents where the enzyme activity has been found to depend strongly on both the solvent and the water activity (a(w)). Despite several experimental and computational studies, knowledge is largely empirical, and a general predictive approach is much needed. To close this gap, we chose native Candida antarctica lipase B (CALB) and two mutants thereof and used molecular dynamics (MD) simulations to gain a molecular understanding of the effect of a(w) on the specific activity of CALB in hexane. Based on the simulations, we propose four criteria to understand the performance of CALB in organic media, which is supported by enzyme kinetics experiments. First, the lipase must be stable in the organic solvent, which was the case for native CALB and the two mutants studied here. Secondly, water clusters that form and grow close to the active site must not block the path of substrate molecules into the active site. Thirdly, the lipase’s lid must not cover the active site. Finally, mutations and changes in a(w) must not disrupt the geometry of the active site. We show that mutating specific residues close to the active site can hinder water cluster formation and growth, making the lipase resistant to changes in a(w). Our computational screening criteria could potentially be used to screen in-silico designed variants, so only promising candidates could be pushed forward to characterisation. Research Network of Computational and Structural Biotechnology 2023-10-31 /pmc/articles/PMC10665702/ /pubmed/38022691 http://dx.doi.org/10.1016/j.csbj.2023.10.049 Text en © 2023 The Authors. Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Tjørnelund, Helena D.
Vind, Jesper
Brask, Jesper
Woodley, John M.
Peters, Günther H.J.
Candida antarctica lipase B performance in organic solvent at varying water activities studied by molecular dynamics simulations
title Candida antarctica lipase B performance in organic solvent at varying water activities studied by molecular dynamics simulations
title_full Candida antarctica lipase B performance in organic solvent at varying water activities studied by molecular dynamics simulations
title_fullStr Candida antarctica lipase B performance in organic solvent at varying water activities studied by molecular dynamics simulations
title_full_unstemmed Candida antarctica lipase B performance in organic solvent at varying water activities studied by molecular dynamics simulations
title_short Candida antarctica lipase B performance in organic solvent at varying water activities studied by molecular dynamics simulations
title_sort candida antarctica lipase b performance in organic solvent at varying water activities studied by molecular dynamics simulations
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10665702/
https://www.ncbi.nlm.nih.gov/pubmed/38022691
http://dx.doi.org/10.1016/j.csbj.2023.10.049
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