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State of the Art in Silico Tools for the Study of Signaling Pathways in Cancer
In the last several years, researchers have exhibited an intense interest in the evolutionarily conserved signaling pathways that have crucial roles during embryonic development. Interestingly, the malfunctioning of these signaling pathways leads to several human diseases, including cancer. The chem...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3397482/ https://www.ncbi.nlm.nih.gov/pubmed/22837650 http://dx.doi.org/10.3390/ijms13066561 |
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author | Villaamil, Vanessa Medina Gallego, Guadalupe Aparicio Cainzos, Isabel Santamarina Valladares-Ayerbes, Manuel Antón Aparicio, Luis M. |
author_facet | Villaamil, Vanessa Medina Gallego, Guadalupe Aparicio Cainzos, Isabel Santamarina Valladares-Ayerbes, Manuel Antón Aparicio, Luis M. |
author_sort | Villaamil, Vanessa Medina |
collection | PubMed |
description | In the last several years, researchers have exhibited an intense interest in the evolutionarily conserved signaling pathways that have crucial roles during embryonic development. Interestingly, the malfunctioning of these signaling pathways leads to several human diseases, including cancer. The chemical and biophysical events that occur during cellular signaling, as well as the number of interactions within a signaling pathway, make these systems complex to study. In silico resources are tools used to aid the understanding of cellular signaling pathways. Systems approaches have provided a deeper knowledge of diverse biochemical processes, including individual metabolic pathways, signaling networks and genome-scale metabolic networks. In the future, these tools will be enormously valuable, if they continue to be developed in parallel with growing biological knowledge. In this study, an overview of the bioinformatics resources that are currently available for the analysis of biological networks is provided. |
format | Online Article Text |
id | pubmed-3397482 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-33974822012-07-26 State of the Art in Silico Tools for the Study of Signaling Pathways in Cancer Villaamil, Vanessa Medina Gallego, Guadalupe Aparicio Cainzos, Isabel Santamarina Valladares-Ayerbes, Manuel Antón Aparicio, Luis M. Int J Mol Sci Review In the last several years, researchers have exhibited an intense interest in the evolutionarily conserved signaling pathways that have crucial roles during embryonic development. Interestingly, the malfunctioning of these signaling pathways leads to several human diseases, including cancer. The chemical and biophysical events that occur during cellular signaling, as well as the number of interactions within a signaling pathway, make these systems complex to study. In silico resources are tools used to aid the understanding of cellular signaling pathways. Systems approaches have provided a deeper knowledge of diverse biochemical processes, including individual metabolic pathways, signaling networks and genome-scale metabolic networks. In the future, these tools will be enormously valuable, if they continue to be developed in parallel with growing biological knowledge. In this study, an overview of the bioinformatics resources that are currently available for the analysis of biological networks is provided. Molecular Diversity Preservation International (MDPI) 2012-05-29 /pmc/articles/PMC3397482/ /pubmed/22837650 http://dx.doi.org/10.3390/ijms13066561 Text en © 2012 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland. http://creativecommons.org/licenses/by/3.0 This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Review Villaamil, Vanessa Medina Gallego, Guadalupe Aparicio Cainzos, Isabel Santamarina Valladares-Ayerbes, Manuel Antón Aparicio, Luis M. State of the Art in Silico Tools for the Study of Signaling Pathways in Cancer |
title | State of the Art in Silico Tools for the Study of Signaling Pathways in Cancer |
title_full | State of the Art in Silico Tools for the Study of Signaling Pathways in Cancer |
title_fullStr | State of the Art in Silico Tools for the Study of Signaling Pathways in Cancer |
title_full_unstemmed | State of the Art in Silico Tools for the Study of Signaling Pathways in Cancer |
title_short | State of the Art in Silico Tools for the Study of Signaling Pathways in Cancer |
title_sort | state of the art in silico tools for the study of signaling pathways in cancer |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3397482/ https://www.ncbi.nlm.nih.gov/pubmed/22837650 http://dx.doi.org/10.3390/ijms13066561 |
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