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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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