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TITLE:
De Novo molecule generation for biomedical research - TFG:7023

Student:García Martínez, Alejandro
Language:en
Title in original language:De Novo molecule generation for biomedical research
Title in different languages:De Novo molecule generation for biomedical research
Keywords:deep generative models; graph convolutional policy network; metabolomics; drug discovery
Subject:Enginyeria Biomèdica
Abstract:In recent years, multiple generative models have been developed for De Novo molecule generation. Generative models are a potentially powerful tool for generating molecules and exploring chemical space.
Project director:Guimerà Manrique, Roger
Work's codirector:Sales Pardo, Marta
Department:Enginyeria Química
Education area(s):Enginyeria Biomèdica
Entity:Universitat Rovira i Virgili (URV)
Creation date in repository:2024-05-10
Work's public defense date:2023-06-20
Academic year:2022-2023
Confidenciality:No
Subject areas:Biomedical Engineering
Access rights:info:eu-repo/semantics/openAccess
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