Targeting molecular networks for drug research
Autor(a) principal: | |
---|---|
Data de Publicação: | 2014 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.1/11552 |
Resumo: | The study of molecular networks has recently moved into the limelight of biomedical research. While it has certainly provided us with plenty of new insights into cellular mechanisms, the challenge now is how to modify or even restructure these networks. This is especially true for human diseases, which can be regarded as manifestations of distorted states of molecular networks. Of the possible interventions for altering networks, the use of drugs is presently the most feasible. In this mini-review, we present and discuss some exemplary approaches of how analysis of molecular interaction networks can contribute to pharmacology (e.g., by identifying new drug targets or prediction of drug side effects), as well as list pointers to relevant resources and software to guide future research. We also outline recent progress in the use of drugs for in vitro reprogramming of cells, which constitutes an example par excellence for altering molecular interaction networks with drugs. |
id |
RCAP_4ba04574841538947a8dda91e0bd2dbb |
---|---|
oai_identifier_str |
oai:sapientia.ualg.pt:10400.1/11552 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
Targeting molecular networks for drug researchPluripotent stem-cellsGene-expression dataProtein interactomeDiscoveryDiseaseParadigmIdentificationBiologyUnihiThe study of molecular networks has recently moved into the limelight of biomedical research. While it has certainly provided us with plenty of new insights into cellular mechanisms, the challenge now is how to modify or even restructure these networks. This is especially true for human diseases, which can be regarded as manifestations of distorted states of molecular networks. Of the possible interventions for altering networks, the use of drugs is presently the most feasible. In this mini-review, we present and discuss some exemplary approaches of how analysis of molecular interaction networks can contribute to pharmacology (e.g., by identifying new drug targets or prediction of drug side effects), as well as list pointers to relevant resources and software to guide future research. We also outline recent progress in the use of drugs for in vitro reprogramming of cells, which constitutes an example par excellence for altering molecular interaction networks with drugs.Frontiers Media SaSapientiaPinto, Jose P.Machado, Ruis. R.Xavier, Joana M.Futschik, Matthias E.2018-12-07T14:53:30Z2014-062014-06-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.1/11552eng1664-802110.3389/fgene.2014.00160info: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:RCAAP2023-07-24T10:23:23Zoai:sapientia.ualg.pt:10400.1/11552Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:03:02.690904Repositório 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 |
Targeting molecular networks for drug research |
title |
Targeting molecular networks for drug research |
spellingShingle |
Targeting molecular networks for drug research Pinto, Jose P. Pluripotent stem-cells Gene-expression data Protein interactome Discovery Disease Paradigm Identification Biology Unihi |
title_short |
Targeting molecular networks for drug research |
title_full |
Targeting molecular networks for drug research |
title_fullStr |
Targeting molecular networks for drug research |
title_full_unstemmed |
Targeting molecular networks for drug research |
title_sort |
Targeting molecular networks for drug research |
author |
Pinto, Jose P. |
author_facet |
Pinto, Jose P. Machado, Ruis. R. Xavier, Joana M. Futschik, Matthias E. |
author_role |
author |
author2 |
Machado, Ruis. R. Xavier, Joana M. Futschik, Matthias E. |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Sapientia |
dc.contributor.author.fl_str_mv |
Pinto, Jose P. Machado, Ruis. R. Xavier, Joana M. Futschik, Matthias E. |
dc.subject.por.fl_str_mv |
Pluripotent stem-cells Gene-expression data Protein interactome Discovery Disease Paradigm Identification Biology Unihi |
topic |
Pluripotent stem-cells Gene-expression data Protein interactome Discovery Disease Paradigm Identification Biology Unihi |
description |
The study of molecular networks has recently moved into the limelight of biomedical research. While it has certainly provided us with plenty of new insights into cellular mechanisms, the challenge now is how to modify or even restructure these networks. This is especially true for human diseases, which can be regarded as manifestations of distorted states of molecular networks. Of the possible interventions for altering networks, the use of drugs is presently the most feasible. In this mini-review, we present and discuss some exemplary approaches of how analysis of molecular interaction networks can contribute to pharmacology (e.g., by identifying new drug targets or prediction of drug side effects), as well as list pointers to relevant resources and software to guide future research. We also outline recent progress in the use of drugs for in vitro reprogramming of cells, which constitutes an example par excellence for altering molecular interaction networks with drugs. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-06 2014-06-01T00:00:00Z 2018-12-07T14:53:30Z |
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/10400.1/11552 |
url |
http://hdl.handle.net/10400.1/11552 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1664-8021 10.3389/fgene.2014.00160 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Frontiers Media Sa |
publisher.none.fl_str_mv |
Frontiers Media Sa |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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 |
repository.mail.fl_str_mv |
|
_version_ |
1799133264423682048 |