1. State of the Art in Silico Tools for the Study of Signaling Pathways in Cancer
- Author
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Guadalupe Aparicio Gallego, Vanessa Medina Villaamil, Isabel Santamarina Cainzos, Luis M. Antón Aparicio, and Manuel Valladares-Ayerbes
- Subjects
Proteomics ,Vascular Endothelial Growth Factor A ,Cell signaling ,Bioinformatics ,Systems biology ,In silico ,pathways ,Genomics ,Review ,Computational biology ,Biology ,Catalysis ,Inorganic Chemistry ,Neoplasms ,medicine ,Animals ,Humans ,cancer ,Physical and Theoretical Chemistry ,Pathways ,Molecular Biology ,Spectroscopy ,Cancer ,Genome ,Algoritmos ,Systems Biology ,Organic Chemistry ,Computational Biology ,Transducción de Señal ,bioinformatics ,General Medicine ,medicine.disease ,Computer Science Applications ,Cell biology ,networks ,Networks ,Signal transduction ,Software ,Algorithms ,Biological network ,Signal Transduction - Abstract
Review [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.
- Published
- 2012
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