Abstract: 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.
This is an open access article distributed under the
Creative Commons Attribution License which permits unrestricted use, distribution,
and reproduction in any medium, provided the original work is properly cited.
Export to BibTeX
MDPI and ACS Style
Villaamil, V.M.; Gallego, G.A.; Cainzos, I.S.; Valladares-Ayerbes, M.; Aparicio, L.M.A. State of the Art in Silico Tools for the Study of Signaling Pathways in Cancer. Int. J. Mol. Sci. 2012, 13, 6561-6581.
Villaamil VM, Gallego GA, Cainzos IS, Valladares-Ayerbes M, Aparicio LMA. State of the Art in Silico Tools for the Study of Signaling Pathways in Cancer. International Journal of Molecular Sciences. 2012; 13(6):6561-6581.
Villaamil, Vanessa Medina; Gallego, Guadalupe Aparicio; Cainzos, Isabel Santamarina; Valladares-Ayerbes, Manuel; Aparicio, Luis M. Antón. 2012. "State of the Art in Silico Tools for the Study of Signaling Pathways in Cancer." Int. J. Mol. Sci. 13, no. 6: 6561-6581.