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 |
|