Pagonabarraga Mora, IgnacioAlbertazzi, LorenzoTerradellas Igual, Adrià2017-11-142017-11-142017-06https://hdl.handle.net/2445/117758Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2017, Tutor: Ignacio Pagonabarraga, Co-tutor: Lorenzo AlbertazziSuper-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.5 p.application/pdfengcc-by-nc-nd (c) Terradellas, 2017http://creativecommons.org/licenses/by-nc-nd/3.0/es/PolímersMembranes cel·lularsMètode de MontecarloTreballs de fi de grauPolymersCell membranesMonte Carlo methodBachelor's thesesMonte Carlo simulation of super-selective supramolecular polymers on cell membranesinfo:eu-repo/semantics/bachelorThesisinfo:eu-repo/semantics/openAccess