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http://hdl.handle.net/10609/146512
Title: | Automatización de la actualización de una base de datos de proteínas moonlighting y análisis de patrones emergentes |
Author: | Sánchez Lacalle, Daniel |
Tutor: | Franco Serrano, Luis |
Others: | Ventura, Carles |
Abstract: | The relatively recent discovery of the moonlighting proteins which can perform more than one function through the same polypeptide chain depending on certain conditions, has blurred the simple, unidirectional relationship between genes and functions through proteins. Moonlighting proteins represent both an opportunity and a problem due to the complexity of discerning where they may be present and which function, they may be performing, and how interacting with other elements can affect the organism, such as drugs. The defining characteristics of a moonlighting protein are still not well understood, and the number of non-canonical functions identified is growing, creating the need to maintain databases to study whether they have particular characteristics and to facilitate organized access to the information. In this work we have made use of Python to write an application capable of recurringly download information for a list of proteins and organize it in such a way in a spreadsheet that the MultiTaskProtDB database can be updated. The update will result in the largest published dedicated "moonlighting" protein database and the application will facilitate its periodic updating. In addition, GO terms and localization have been described to have a distribution in line with what is expected in the literature. |
Keywords: | database Python protein moonlighting |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | 1-Jun-2022 |
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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dsanchezlacTFM0622memoria.pdf | Memoria del TFM | 660,17 kB | Adobe PDF | View/Open |
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