Logic Programming and Artificial Neural Networks in Pharmacological Screening of Schinus Essential Oils

Detalhes bibliográficos
Autor(a) principal: Neves, José
Data de Publicação: 2015
Outros Autores: Martins, M. Rosário, Candeias, Fátima, Ferreira, Diana, Arantes, Sílvia, Cruz-Morais, Júlio, Gomes, Guida, Macedo, Joaquim, Abelha, António, Vicente, Henrique
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: http://hdl.handle.net/10174/15761
Resumo: Some plants of genus Schinus have been used in the folk medicine as topical antiseptic, digestive, purgative, diuretic, analgesic or antidepressant, and also for respiratory and urinary infections. Chemical composition of essential oils of S. molle and S. terebinthifolius had been evaluated and presented high variability according with the part of the plant studied and with the geographic and climatic regions. The pharmacological properties, namely antimicrobial, anti-tumoural and anti-inflammatory activities are conditioned by chemical composition of essential oils. Taking into account the difficulty to infer the pharmacological properties of Schinus essential oils without hard experimental approach, this work will focus on the development of a decision support system, in terms of its knowledge representation and reasoning procedures, under a formal framework based on Logic Programming, complemented with an approach to computing centered on Artificial Neural Networks and the respective Degree-of-Confidence that one has on such an occurrence.
id RCAP_0ed2232c84d2da19e98e8418ba724e85
oai_identifier_str oai:dspace.uevora.pt:10174/15761
network_acronym_str RCAP
network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository_id_str https://opendoar.ac.uk/repository/7160
spelling Logic Programming and Artificial Neural Networks in Pharmacological Screening of Schinus Essential OilsArtificial Neuronal NetworksEssential OilsKnowledge Representation and ReasoningLogic ProgrammingSchinus molle LSchinus terebinthifolius raddiSome plants of genus Schinus have been used in the folk medicine as topical antiseptic, digestive, purgative, diuretic, analgesic or antidepressant, and also for respiratory and urinary infections. Chemical composition of essential oils of S. molle and S. terebinthifolius had been evaluated and presented high variability according with the part of the plant studied and with the geographic and climatic regions. The pharmacological properties, namely antimicrobial, anti-tumoural and anti-inflammatory activities are conditioned by chemical composition of essential oils. Taking into account the difficulty to infer the pharmacological properties of Schinus essential oils without hard experimental approach, this work will focus on the development of a decision support system, in terms of its knowledge representation and reasoning procedures, under a formal framework based on Logic Programming, complemented with an approach to computing centered on Artificial Neural Networks and the respective Degree-of-Confidence that one has on such an occurrence.World Academy of Science Engineering and Technology2015-09-11T12:23:06Z2015-09-112015-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/15761http://hdl.handle.net/10174/15761engNeves, J., Martins, M.R., Candeias, F., Ferreira, D., Arantes, S., Cruz-Morais, J., Gomes, G., Macedo, J., Abelha, A. & Vicente, H., Logic Programming and Artificial Neural Networks in Pharmacological Screening of Schinus Essential Oils. World Academy of Science, Engineering and Technology, International Science Index 103, International Journal of Biological, Biomolecular, Agricultural, Food and Biotechnological Engineering, 9 (7): 679–684, 2015.6http://waset.org/publications/10001626/9World Academy of Science, Engineering and Technology, International Science Index 103, International Journal of Biological, Biomolecular, Agricultural, Food and Biotechnological Engineering7DQUI; ICAAMjneves@di.uminho.ptmrm@uevora.ptmfbc@uevora.ptdianafferreira.91@gmail.comsaa@uevora.ptcruz_morais@live.commguida.mgomes@gmail.commacedo@di.uminho.ptabelha@di.uminho.pthvicente@uevora.ptNeves, JoséMartins, M. RosárioCandeias, FátimaFerreira, DianaArantes, SílviaCruz-Morais, JúlioGomes, GuidaMacedo, JoaquimAbelha, AntónioVicente, Henriqueinfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-01-03T19:01:32Zoai:dspace.uevora.pt:10174/15761Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T12:07:00.486241Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Logic Programming and Artificial Neural Networks in Pharmacological Screening of Schinus Essential Oils
title Logic Programming and Artificial Neural Networks in Pharmacological Screening of Schinus Essential Oils
spellingShingle Logic Programming and Artificial Neural Networks in Pharmacological Screening of Schinus Essential Oils
Neves, José
Artificial Neuronal Networks
Essential Oils
Knowledge Representation and Reasoning
Logic Programming
Schinus molle L
Schinus terebinthifolius raddi
title_short Logic Programming and Artificial Neural Networks in Pharmacological Screening of Schinus Essential Oils
title_full Logic Programming and Artificial Neural Networks in Pharmacological Screening of Schinus Essential Oils
title_fullStr Logic Programming and Artificial Neural Networks in Pharmacological Screening of Schinus Essential Oils
title_full_unstemmed Logic Programming and Artificial Neural Networks in Pharmacological Screening of Schinus Essential Oils
title_sort Logic Programming and Artificial Neural Networks in Pharmacological Screening of Schinus Essential Oils
author Neves, José
author_facet Neves, José
Martins, M. Rosário
Candeias, Fátima
Ferreira, Diana
Arantes, Sílvia
Cruz-Morais, Júlio
Gomes, Guida
Macedo, Joaquim
Abelha, António
Vicente, Henrique
author_role author
author2 Martins, M. Rosário
Candeias, Fátima
Ferreira, Diana
Arantes, Sílvia
Cruz-Morais, Júlio
Gomes, Guida
Macedo, Joaquim
Abelha, António
Vicente, Henrique
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Neves, José
Martins, M. Rosário
Candeias, Fátima
Ferreira, Diana
Arantes, Sílvia
Cruz-Morais, Júlio
Gomes, Guida
Macedo, Joaquim
Abelha, António
Vicente, Henrique
dc.subject.por.fl_str_mv Artificial Neuronal Networks
Essential Oils
Knowledge Representation and Reasoning
Logic Programming
Schinus molle L
Schinus terebinthifolius raddi
topic Artificial Neuronal Networks
Essential Oils
Knowledge Representation and Reasoning
Logic Programming
Schinus molle L
Schinus terebinthifolius raddi
description Some plants of genus Schinus have been used in the folk medicine as topical antiseptic, digestive, purgative, diuretic, analgesic or antidepressant, and also for respiratory and urinary infections. Chemical composition of essential oils of S. molle and S. terebinthifolius had been evaluated and presented high variability according with the part of the plant studied and with the geographic and climatic regions. The pharmacological properties, namely antimicrobial, anti-tumoural and anti-inflammatory activities are conditioned by chemical composition of essential oils. Taking into account the difficulty to infer the pharmacological properties of Schinus essential oils without hard experimental approach, this work will focus on the development of a decision support system, in terms of its knowledge representation and reasoning procedures, under a formal framework based on Logic Programming, complemented with an approach to computing centered on Artificial Neural Networks and the respective Degree-of-Confidence that one has on such an occurrence.
publishDate 2015
dc.date.none.fl_str_mv 2015-09-11T12:23:06Z
2015-09-11
2015-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10174/15761
http://hdl.handle.net/10174/15761
url http://hdl.handle.net/10174/15761
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Neves, J., Martins, M.R., Candeias, F., Ferreira, D., Arantes, S., Cruz-Morais, J., Gomes, G., Macedo, J., Abelha, A. & Vicente, H., Logic Programming and Artificial Neural Networks in Pharmacological Screening of Schinus Essential Oils. World Academy of Science, Engineering and Technology, International Science Index 103, International Journal of Biological, Biomolecular, Agricultural, Food and Biotechnological Engineering, 9 (7): 679–684, 2015.
6
http://waset.org/publications/10001626/
9
World Academy of Science, Engineering and Technology, International Science Index 103, International Journal of Biological, Biomolecular, Agricultural, Food and Biotechnological Engineering
7
DQUI; ICAAM
jneves@di.uminho.pt
mrm@uevora.pt
mfbc@uevora.pt
dianafferreira.91@gmail.com
saa@uevora.pt
cruz_morais@live.com
mguida.mgomes@gmail.com
macedo@di.uminho.pt
abelha@di.uminho.pt
hvicente@uevora.pt
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv World Academy of Science Engineering and Technology
publisher.none.fl_str_mv World Academy of Science Engineering and Technology
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833592527906668544