2026-04-13T13:45:46Zhttps://recercat.cat/oai/request

oai:recercat.cat:10256/188062024-06-18T13:55:55Zcom_2072_452955com_2072_2054col_2072_453073

2024-06-18T13:55:55Z urn:hdl:10256/18806 Conformational Landscapes of Halohydrin Dehalogenases and Their Accessible Active Site Tunnels Estévez Gay, Miquel Iglesias-Fernández, Javier Osuna Oliveras, Sílvia Enzims Enzymes Dinàmica molecular Molecular dynamics Epòxids Epoxy compounds Halohydrin dehalogenases (HHDH) are industrially relevant biocatalysts exhibiting a promiscuous epoxide-ring opening reactivity in the presence of small nucleophiles, thus giving access to novel carbon–carbon, carbon–oxygen, carbon–nitrogen, and carbon–sulfur bonds. Recently, the repertoire of HHDH has been expanded, providing access to some novel HHDH subclasses exhibiting a broader epoxide substrate scope. In this work, we develop a computational approach based on the application of linear and non-linear dimensionality reduction techniques to long time-scale Molecular Dynamics (MD) simulations to study the HHDH conformational landscapes. We couple the analysis of the conformational landscapes to CAVER calculations to assess their impact on the active site tunnels and potential ability towards bulky epoxide ring opening reaction. Our study indicates that the analyzed HHDHs subclasses share a common breathing motion of the halide binding pocket, but present large deviations in the loops adjacent to the active site pocket and N-terminal regions. Such conformational differences affect the available tunnels for epoxide binding to the active site. The superior activity of the HHDH G subclass towards bulkier substrates is explained by the additional structural elements delimiting the active site region, its rich conformational heterogeneity, and the substantially wider and frequently observed active site tunnels. This study therefore provides key information for HHDH promiscuity and engineering We thank the Generalitat de Catalunya for the emerging group CompBioLab (2017 SGR-1707) and Spanish MINECO for project PGC2018-102192-B-I00. J.I.F. was supported by the European Community for Marie Curie fellowship (H2020-MSCA-IF-2016-753045) and Juan de la Cierva-Incorporación fellowship (IJCI-2017-34129). S.O. is grateful to the funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (ERC-2015-StG-679001) 2024-06-18T13:55:55Z 2024-06-18T13:55:55Z 2020-12-01 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion peer-reviewed http://hdl.handle.net/10256/18806 info:eu-repo/semantics/altIdentifier/doi/10.3390/catal10121403 info:eu-repo/semantics/altIdentifier/eissn/2073-4344 info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PGC2018-102192-B-I00/ES/EVOLUCION COMPUTACIONAL DE ENZIMAS MEDIANTE LA EXPLORACION DE LA SUPERFICIE CONFORMACIONAL/ info:eu-repo/grantAgreement/EC/H2020/753045/EU/COMPUTATIONAL EVOLUTION OF ENZYME VARIANTS THROUGH CONFORMATIONAL NETWORKS/EnzVolNet info:eu-repo/grantAgreement/EC/H2020/679001/EU/Network models for the computational design of proficient enzymes/NetMoDEzyme Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess MDPI (Multidisciplinary Digital Publishing Institute) Catalysts, 2020, vol. 10, núm. 12, p. 1403 Articles publicats (D-Q)