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http://hdl.handle.net/10609/65412
Title: | Creación de una herramienta de software para predecir la interacción, actividad y función de fármacos |
Author: | Martínez Goikoetxea, Mikel |
Tutor: | Sanchez-Martinez, Melchor |
Others: | Universitat Oberta de Catalunya Marco-Galindo, Maria-Jesús |
Abstract: | In this project, software tools that could be useful in the drug discovery step (in the context of drug development) are developed. To achieve this, two approaches have been taken. Each of the approaches have resulted in two independent programs, that run all the necessary steps required to perform the said predictions. In this document, the used methods are discussed, as well as their success. |
Keywords: | machine learning chemical similarity |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | 21-Jun-2017 |
Publication license: | http://www.gnu.org/licenses/gpl.html |
Appears in Collections: | Trabajos finales de carrera, trabajos de investigación, etc. |
Files in This Item:
File | Description | Size | Format | |
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mmartinezgoiTFM0617memoria.pdf | Memoria del TFM | 1,27 MB | Adobe PDF | View/Open |
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