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dc.creatorWesterlund, Annie M.es
dc.creatorFleetwood, Oliveres
dc.creatorPérez Conesa, Sergioes
dc.creatorDelemotte, Luciees
dc.date.accessioned2022-07-19T14:02:38Z
dc.date.available2022-07-19T14:02:38Z
dc.date.issued2020
dc.identifier.citationWesterlund, A.M., Fleetwood, O., Pérez Conesa, S. y Delemotte, L. (2020). Network analysis reveals how lipids and other cofactors influence membrane protein allostery. Journal of Chemical Physics, 153 (14), 141103.
dc.identifier.issn0021-9606es
dc.identifier.issn1089-7690es
dc.identifier.urihttps://hdl.handle.net/11441/135583
dc.description.abstractMany membrane proteins are modulated by external stimuli, such as small molecule binding or change in pH, transmembrane voltage, or temperature. This modulation typically occurs at sites that are structurally distant from the functional site. Revealing the communication, known as allostery, between these two sites is key to understanding the mechanistic details of these proteins. Residue interaction networks of isolated proteins are commonly used to this end. Membrane proteins, however, are embedded in a lipid bilayer, which may contribute to allosteric communication. The fast diffusion of lipids hinders direct use of standard residue interaction networks. Here, we present an extension that includes cofactors such as lipids and small molecules in the network. The novel framework is applied to three membrane proteins: a voltage-gated ion channel (KCNQ1), a G-protein coupled receptor (GPCR - β2 adrenergic receptor), and a pH-gated ion channel (KcsA). Through systematic analysis of the obtained networks and their components, we demonstrate the importance of lipids for membrane protein allostery. Finally, we reveal how small molecules may stabilize different protein states by allosterically coupling and decoupling the protein from the membrane.es
dc.description.sponsorshipSwedish Research Council VR-2018-04905es
dc.formatapplication/pdfes
dc.format.extent11 p.es
dc.language.isoenges
dc.publisherAmerican Institute of Physicses
dc.relation.ispartofJournal of Chemical Physics, 153 (14), 141103.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleNetwork analysis reveals how lipids and other cofactors influence membrane protein allosteryes
dc.typeinfo:eu-repo/semantics/articlees
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Química Físicaes
dc.relation.projectIDVR-2018-04905es
dc.relation.publisherversionhttps://doi.org/10.1063/5.0020974es
dc.identifier.doi10.1063/5.0020974es
dc.journaltitleJournal of Chemical Physicses
dc.publication.volumen153es
dc.publication.issue14es
dc.publication.initialPage141103es
dc.contributor.funderSwedish Research Counciles

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