Simulation insights into the assembly of polyplexes for RNA delivery

dc.contributor.authorLehnen, Jonas Hans
dc.contributor.authorMoreno Herrero, Jorge
dc.contributor.authorHaas, Heinrich
dc.contributor.authorSchmid, Friederike
dc.contributor.authorSettanni, Giovanni
dc.date.accessioned2026-02-05T09:00:32Z
dc.date.issued2025
dc.description.abstractRNA-based pharmaceuticals proved successful with the COVID-19 vaccines and are now undergoing clinical trials for a broad range of therapeutic indications. Lipid-based nanoparticles (LNPs) have been used so far as delivery systems, although alternatives are still needed to meet efficacy and safety requirements across a broader range of applications. Polyplexes, formed by the self-assembly of cationic polymers with the anionic nucleic acids, constitute a valuable substitute, especially if precise control of the number and shape of the encapsulated RNA chains is possible. Here, we use molecular dynamics simulations of a coarse-grained polyplex model to show that the most important factors controlling it are the charge ratio between polyelectrolytes and RNA and their concentration during assembly. Close to the isoelectric point, the polyplexes are large, whereas in large excess of cationic polymer, their size decreases, allowing one RNA copy per nanoparticle. Our results are consistent with recent experimental work on polyethylenimine polyplexes.en
dc.identifier.doihttps://doi.org/10.25358/openscience-13769
dc.identifier.urihttps://openscience.ub.uni-mainz.de/handle/20.500.12030/13790
dc.language.isoeng
dc.rightsCC-BY-4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc540 Chemiede
dc.subject.ddc540 Chemistry and allied sciencesen
dc.subject.ddc530 Physikde
dc.subject.ddc530 Physicsen
dc.titleSimulation insights into the assembly of polyplexes for RNA deliveryen
dc.typeZeitschriftenaufsatz
jgu.identifier.uuidfbdf3ae5-9f6a-4d1f-bc3d-b068efff99b6
jgu.journal.issue12
jgu.journal.titleBiomacromolecules
jgu.journal.volume26
jgu.organisation.departmentFB 08 Physik, Mathematik u. Informatik
jgu.organisation.nameJohannes Gutenberg-Universität Mainz
jgu.organisation.number7940
jgu.organisation.placeMainz
jgu.organisation.rorhttps://ror.org/023b0x485
jgu.pages.end8474
jgu.pages.start8465
jgu.publisher.doi10.1021/acs.biomac.5c01219
jgu.publisher.eissn1526-4602
jgu.publisher.nameAmerican Chemical Society
jgu.publisher.placeWashington, DC
jgu.publisher.year2025
jgu.rights.accessrightsopenAccess
jgu.subject.ddccode540
jgu.subject.ddccode530
jgu.subject.dfgNaturwissenschaften
jgu.type.dinitypeArticleen_GB
jgu.type.resourceText
jgu.type.versionPublished version

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