Ir al contenido (pulsa Retorno)

Universitat Politècnica de Catalunya

    • Català
    • Castellano
    • English
    • LoginRegisterLog in (no UPC users)
  • mailContact Us
  • world English 
    • Català
    • Castellano
    • English
  • userLogin   
      LoginRegisterLog in (no UPC users)

UPCommons. Global access to UPC knowledge

63.134 UPC academic works
You are here:
View Item 
  •   DSpace Home
  • Treballs acadèmics
  • Màsters oficials
  • Master in Innovation and Research in Informatics - MIRI
  • View Item
  •   DSpace Home
  • Treballs acadèmics
  • Màsters oficials
  • Master in Innovation and Research in Informatics - MIRI
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Exploratory analysis of the molecular dynamics of cannabinoid receptor proteins

Thumbnail
View/Open
152571.pdf (5,166Mb)
Share:
 
  View Usage Statistics
Cita com:
hdl:2117/340035

Show full item record
Rubio Cuervo, Damián
Tutor / directorVellido Alcacena, AlfredoMés informacióMés informacióMés informació; König, CarolineMés informacióMés informacióMés informació
Document typeMaster thesis
Date2020-10
Rights accessOpen Access
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
Abstract
G protein-coupled receptors, also known as GPCRs, are a kind of protein receptors that transfer signals to the inner part of cells when a certain kind of molecule is detected outside. In this thesis this kind of receptors have been analyzed from a molecular dynamics perspective. The interest in GPCRs is their structural and functional complexity, which confers great richness to their ligand space because the molecular space for drug design will be more extensive. The molecular dynamics approach allows us to explore the conformational space of GPCRs by obtaining large scale time series of protein conformations by computational simulation. Machine learning techniques have been used to differentiate between different ligand-induced conformational changes in GPCR cannabinoid receptors, focusing on feature selection in the form of protein motif search and on the analysis of different strategies for the transformation of raw molecular dynamics data into alternative representations that could be more suitable for, ease and improve the performance of machine learning based methods.
SubjectsMachine learning, Cell receptors, Aprenentatge automàtic, Receptors cel·lulars
DegreeMÀSTER UNIVERSITARI EN INNOVACIÓ I RECERCA EN INFORMÀTICA (Pla 2012)
URIhttp://hdl.handle.net/2117/340035
Collections
  • Màsters oficials - Master in Innovation and Research in Informatics - MIRI [404]
Share:
 
  View Usage Statistics

Show full item record

FilesDescriptionSizeFormatView
152571.pdf5,166MbPDFView/Open

Browse

This CollectionBy Issue DateAuthorsOther contributionsTitlesSubjectsThis repositoryCommunities & CollectionsBy Issue DateAuthorsOther contributionsTitlesSubjects

© UPC Obrir en finestra nova . Servei de Biblioteques, Publicacions i Arxius

info.biblioteques@upc.edu

  • About This Repository
  • Contact Us
  • Send Feedback
  • Inici de la pàgina