Data Mining for Rational Drug Design

Detalhes bibliográficos
Autor(a) principal: Catarina Isabel Peixoto Candeias
Data de Publicação: 2017
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://repositorio-aberto.up.pt/handle/10216/105446
Resumo: Currently, there are a large number of drugs available that promote greater efficiency in health systems and are an asset to the health of the population. Its importance is indisputable to human life and consequently translates into greater competence at the professional level, bringing many benefits to society. In addition, the conscious use of medicines also leads to a decreasing need for other, longer and more expensive health care.The process of drug design consists of several steps until reaching the final phase that corresponds to the clinical tests. One of the process steps consists on testing five important properties of a drug, known as ADMET (Absorption, Distribution, Metabolism, Excretion and Toxicity) tests.The work of this dissertation consists in the study of Data Mining techniques and evaluation of its potentialities to improve the process of development of new drugs, in particular to contribute to the improvement and reduction of the costs of ADMET tests
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spelling Data Mining for Rational Drug DesignEngenharia médicaMedical engineeringCurrently, there are a large number of drugs available that promote greater efficiency in health systems and are an asset to the health of the population. Its importance is indisputable to human life and consequently translates into greater competence at the professional level, bringing many benefits to society. In addition, the conscious use of medicines also leads to a decreasing need for other, longer and more expensive health care.The process of drug design consists of several steps until reaching the final phase that corresponds to the clinical tests. One of the process steps consists on testing five important properties of a drug, known as ADMET (Absorption, Distribution, Metabolism, Excretion and Toxicity) tests.The work of this dissertation consists in the study of Data Mining techniques and evaluation of its potentialities to improve the process of development of new drugs, in particular to contribute to the improvement and reduction of the costs of ADMET tests2017-07-072017-07-07T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://repositorio-aberto.up.pt/handle/10216/105446TID:201796198engCatarina Isabel Peixoto Candeiasinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T15:43:53Zoai:repositorio-aberto.up.pt:10216/105446Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:30:36.605839Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Data Mining for Rational Drug Design
title Data Mining for Rational Drug Design
spellingShingle Data Mining for Rational Drug Design
Catarina Isabel Peixoto Candeias
Engenharia médica
Medical engineering
title_short Data Mining for Rational Drug Design
title_full Data Mining for Rational Drug Design
title_fullStr Data Mining for Rational Drug Design
title_full_unstemmed Data Mining for Rational Drug Design
title_sort Data Mining for Rational Drug Design
author Catarina Isabel Peixoto Candeias
author_facet Catarina Isabel Peixoto Candeias
author_role author
dc.contributor.author.fl_str_mv Catarina Isabel Peixoto Candeias
dc.subject.por.fl_str_mv Engenharia médica
Medical engineering
topic Engenharia médica
Medical engineering
description Currently, there are a large number of drugs available that promote greater efficiency in health systems and are an asset to the health of the population. Its importance is indisputable to human life and consequently translates into greater competence at the professional level, bringing many benefits to society. In addition, the conscious use of medicines also leads to a decreasing need for other, longer and more expensive health care.The process of drug design consists of several steps until reaching the final phase that corresponds to the clinical tests. One of the process steps consists on testing five important properties of a drug, known as ADMET (Absorption, Distribution, Metabolism, Excretion and Toxicity) tests.The work of this dissertation consists in the study of Data Mining techniques and evaluation of its potentialities to improve the process of development of new drugs, in particular to contribute to the improvement and reduction of the costs of ADMET tests
publishDate 2017
dc.date.none.fl_str_mv 2017-07-07
2017-07-07T00:00:00Z
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status_str publishedVersion
dc.identifier.uri.fl_str_mv https://repositorio-aberto.up.pt/handle/10216/105446
TID:201796198
url https://repositorio-aberto.up.pt/handle/10216/105446
identifier_str_mv TID:201796198
dc.language.iso.fl_str_mv eng
language eng
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eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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instacron:RCAAP
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repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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