Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Villaamil, Vanessa Medina, Gallego, Guadalupe Aparicio, Cainzos, Isabel Santamarina, Valladares-Ayerbes, Manuel, Antón Aparicio, Luis M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2012
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
_version_ 1782238188478136320
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
work_keys_str_mv AT villaamilvanessamedina stateoftheartinsilicotoolsforthestudyofsignalingpathwaysincancer
AT gallegoguadalupeaparicio stateoftheartinsilicotoolsforthestudyofsignalingpathwaysincancer
AT cainzosisabelsantamarina stateoftheartinsilicotoolsforthestudyofsignalingpathwaysincancer
AT valladaresayerbesmanuel stateoftheartinsilicotoolsforthestudyofsignalingpathwaysincancer
AT antonaparicioluism stateoftheartinsilicotoolsforthestudyofsignalingpathwaysincancer