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http://hdl.handle.net/10609/83185
Title: | Diseño computacional de fármacos para Niemann Pick tipo C |
Author: | Sudrià Lopez, Daniel |
Tutor: | Sanchez-Martinez, Melchor |
Others: | Marco-Galindo, Maria-Jesús |
Abstract: | Niemann Pick type C (NP-C) is a hereditary neurodegenerative disease with an early onset and severe symptomatology that causes death in few years, usually during childhood. It is caused by mutations on the genes of NPC1 and NPC2, which are lisosomal cholesterol transporters. The aims of this study were to computationally evaluate the effect of such mutations on cholesterol binding, and computationally design potential drugs for the treatment of NP-C. NPC1 mutants were generated via homology modelling and their capability to bind cholesterol was assessed with docking experiments. |
Keywords: | Niemann Pick cholesterol NPC |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | 5-Jun-2018 |
Publication license: | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Appears in Collections: | Trabajos finales de carrera, trabajos de investigación, etc. |
Files in This Item:
File | Description | Size | Format | |
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dsudriaTFM0618memoria.pdf | Memoria del TFM | 3,27 MB | Adobe PDF | View/Open |
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