Please use this identifier to cite or link to this item: http://hdl.handle.net/10609/146509
Title: GoTerMinator: Detector de proteínas moonlighting
Author: Cámara Castaño, Pilar
Tutor: Franco Serrano, Luis  
Abstract: Until now moonlighting proteins have been identified by experimental methods. This work analyzes the possibility of creating a bioinformatic tool capable of identifying them. Based on the information from the public databases Gene Ontology and Uniprot, a matrix of distances between pairs of GO terms is generated, from which the possibility of grouping the GO terms according to their functionalities and defining a multidimensional space is analyzed. that allows positioning and measuring the distance between GO terms. The final objective is to determine if the GO annotations of a protein belong to different clusters, and/or if its position in the dimensional space is distant, and therefore the protein can be moonlighting. As a result of this analysis, a series of groupings of GO terms have been obtained, by means of different methods, which are compared on a database of proteins previously identified as moonlighting, as well as on Uniprot proteins whose multifunctionality is unknown. It is necessary to analyze the specificity and sensitivity of the clusters obtained, to validate and optimize the results. This requires biological knowledge that is outside the scope of this work. In general, studies based on Gene Ontology compare the biological functions of different genes or proteins, to study their similarity. The novelty of GOTerminator is that the ultimate goal is to find the biological difference within the same gene or protein.
Keywords: Gene Ontology
protein moonlighting
bioinformatics
Document type: info:eu-repo/semantics/masterThesis
Issue Date: 2-Jun-2022
Publication license: http://creativecommons.org/licenses/by-nc-nd/3.0/es/  
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