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

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dc.contributor Pagonabarraga Mora, Ignacio
dc.contributor Albertazzi, Lorenzo
dc.creator Terradellas Igual, Adrià
dc.date 2017-11-14T17:21:18Z
dc.date 2017-11-14T17:21:18Z
dc.date 2017-06
dc.date.accessioned 2024-12-16T10:25:56Z
dc.date.available 2024-12-16T10:25:56Z
dc.identifier http://hdl.handle.net/2445/117758
dc.identifier.uri http://fima-docencia.ub.edu:8080/xmlui/handle/123456789/20257
dc.description Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2017, Tutor: Ignacio Pagonabarraga, Co-tutor: Lorenzo Albertazzi
dc.description Super-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.
dc.format 5 p.
dc.format application/pdf
dc.language eng
dc.rights cc-by-nc-nd (c) Terradellas, 2017
dc.rights http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.rights info:eu-repo/semantics/openAccess
dc.source Treballs Finals de Grau (TFG) - Física
dc.subject Polímers
dc.subject Membranes cel·lulars
dc.subject Mètode de Montecarlo
dc.subject Treballs de fi de grau
dc.subject Polymers
dc.subject Cell membranes
dc.subject Monte Carlo method
dc.subject Bachelor's theses
dc.title Monte Carlo simulation of super-selective supramolecular polymers on cell membranes
dc.type info:eu-repo/semantics/bachelorThesis


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