Effect of water models on transmembrane self-assembled cyclic peptide nanotubes

dc.contributor.affiliationUniversidade de Santiago de Compostela. Centro de Investigación en Química Biolóxica e Materiais Molecularesgl
dc.contributor.authorCalvelo Souto, Martín
dc.contributor.authorLynch, Charlotte I.
dc.contributor.authorGranja Guillán, Juan Ramón
dc.contributor.authorSansom, Mark S. P.
dc.contributor.authorGarcía Fandiño, Rebeca
dc.date.accessioned2021-10-27T09:59:30Z
dc.date.available2021-10-27T09:59:30Z
dc.date.issued2021
dc.description.abstractSelf-assembling cyclic peptide nanotubes can form nanopores when they are inserted in lipid bilayers, acting as ion and/or water permeable channels. In order to improve the versatility of these systems, it is possible to specifically design cyclic peptides with a combination of natural and non-natural amino acids, enabling the control of the nature of the inner cavity of the channels. Here, the behavior of two types of self-assembling peptide motifs, alternating α-amino acids with γ- or δ-aminocycloalkanecarboxylic acids, is studied via molecular dynamics (MD) simulations. The behavior of water molecules in nanopores is expected to affect the properties of these channels and therefore merits detailed examination. A number of water models commonly used in MD simulations have been validated by how well they reproduce bulk water properties. However, it is less clear how these water models behave in the nanoconfined condition inside a channel. The behavior of four different water models—TIP3P, TIP4P, TIP4P/2005, and OPC—are evaluated in MD simulations of self-assembled cyclic peptide nanotubes of distinct composition and diameter. The dynamic behavior of the water molecules and ions in these designed artificial channels depends subtly on the water model used. TIP3P water molecules move faster than those of TIP4P, TIP4P/2005, and OPC. This demeanor is clearly observed in the filling of the nanotube, in water diffusion within the pore, and in the number and stability of hydrogen bonds of the peptides with water. It was also shown that the water model influences the simulated ion flux through the nanotubes, with TIP3P producing the greatest ion flux. Additionally, the two more recent models, TIP4P/2005 and OPC, which are known to reproduce the experimental self-diffusion coefficient of bulk water quite well, exhibit very similar results under the nanoconfined conditions studied here. Because none of these models have been parametrized specifically for waters confined in peptide nanotubes, this study provides a point of reference for further validationgl
dc.description.peerreviewedSIgl
dc.description.sponsorshipThis work was supported by the Spanish Agencia Estatal de Investigación (AEI) and the ERDF (CTQ2016-78423-R, PID2019-111126RB-100, and RTI2018-098795-A-I00) and by the Xunta de Galicia and the ERDF (ED431F 2020/05, ED431C 2017/25, and Centro singular de investigación de Galicia accreditation 2016-2019, ED431G/09). M.C. thanks Xunta de Galicia for a predoctoral fellowship (ED481A-2017/068). R.G.-F. thanks Ministerio de Ciencia, Innovación y Universidades for a Ramón y Cajal contract (RYC-2016- 20335). Research in MSPS’s group is supported by EPSRC (EP/R004722/1; EP/V010948/1) BBSRC (BB/R00126X/1) and Wellcome Trust (208361/Z/17/Z)gl
dc.identifier.citationACS Nano 2021, 15, 4, 7053–7064gl
dc.identifier.doi10.1021/acsnano.1c00155
dc.identifier.essn1936-086X
dc.identifier.issn1936-0851
dc.identifier.urihttp://hdl.handle.net/10347/27037
dc.language.isoenggl
dc.publisherACSgl
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/CTQ2016-78423-R/ES/Química Supramolecular y Dinámica de Péptidos Cíclicos para el Desarrollo de Terapias que Interfieran en las Propiedades de las Membranas Biológicasgl
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-111126RB-100/ESgl
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-098795-A-I00/ES/DISEÑO DE AGENTES ANTITUMORALES A PARTIR DE SIMULACIONES DE DINAMICA MOLECULAR, ANALISIS BIG DATA E INTELIGENCIA ARTIFICIAL VALIDADOS POR EXPERIMENTOS BIOFISICOSgl
dc.relation.publisherversionhttps://doi.org/10.1021/acsnano.1c00155gl
dc.rights© 2021 American Chemical Society. This article is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/deed.en)gl
dc.rightsAtribución 4.0 Internacional
dc.rights.accessRightsopen accessgl
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectSelf-assemblygl
dc.subjectNanotubesgl
dc.subjectCyclic-peptidegl
dc.subjectWater modelsgl
dc.subjectLipid bilayergl
dc.subjectMolecular dynamicsgl
dc.titleEffect of water models on transmembrane self-assembled cyclic peptide nanotubesgl
dc.typejournal articlegl
dc.type.hasVersionVoRgl
dspace.entity.typePublication
relation.isAuthorOfPublicationdd645598-c57c-4276-88fd-6933845cb9b2
relation.isAuthorOfPublicationfb6bbc55-1505-4e96-9863-825f7d16309c
relation.isAuthorOfPublication7207f196-ba01-47c3-a5a7-dac268e007d3
relation.isAuthorOfPublication.latestForDiscoverydd645598-c57c-4276-88fd-6933845cb9b2

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