Monte Carlo simulation of super-selective supramolecular polymers on cell membranes

dc.contributor.advisorPagonabarraga Mora, Ignacio
dc.contributor.advisorAlbertazzi, Lorenzo
dc.contributor.authorTerradellas Igual, Adrià
dc.date.accessioned2017-11-14T17:21:18Z
dc.date.available2017-11-14T17:21:18Z
dc.date.issued2017-06
dc.descriptionTreballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2017, Tutor: Ignacio Pagonabarraga, Co-tutor: Lorenzo Albertazzica
dc.description.abstractSuper-selectivity is a key challenge to design multivalent nano-entities that can bind ideally in a binary response \on-off"to selective receptor-concentration targeting. In this study, it is simulated a 2D canonical ensemble Monte Carlo to sample semiflexible polymer chains conformations with determined percentage of functionalized monomers, which are capable to be bound to a receptor. In addition, it is quantized the adsorption of polymers to cell membranes and analyzed their behaviour depending on potentially selective sources. In closing, it is simulated a novel self-assembled nanofiber to analyze its therapeutic potential for drug delivery.ca
dc.format.extent5 p.
dc.format.mimetypeapplication/pdf
dc.identifier.urihttps://hdl.handle.net/2445/117758
dc.language.isoengca
dc.rightscc-by-nc-nd (c) Terradellas, 2017
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.sourceTreballs Finals de Grau (TFG) - Física
dc.subject.classificationPolímerscat
dc.subject.classificationMembranes cel·lularscat
dc.subject.classificationMètode de Montecarlocat
dc.subject.classificationTreballs de fi de grau
dc.subject.otherPolymerseng
dc.subject.otherCell membraneseng
dc.subject.otherMonte Carlo methodeng
dc.subject.otherBachelor's theses
dc.titleMonte Carlo simulation of super-selective supramolecular polymers on cell membraneseng
dc.typeinfo:eu-repo/semantics/bachelorThesisca

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