title: State of the art in silico tools for the study of signaling pathways in cancer.
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.
authors: Biomedical Research Institute (INIBIC), CHU A Coruña, Xubias de Abaixo s/n, PC 15006, A Coruña, Spain.
authors: Vanessa Medina
authors: VM
authors: Villaamil
authors: Biomedical Research Institute (INIBIC), CHU A Coruña, Xubias de Abaixo s/n, PC 15006, A Coruña, Spain.
authors: Guadalupe Aparicio
authors: GA
authors: Gallego
authors: Biomedical Research Institute (INIBIC), CHU A Coruña, Xubias de Abaixo s/n, PC 15006, A Coruña, Spain.
authors: Isabel Santamarina
authors: IS
authors: Cainzos
authors: Biomedical Research Institute (INIBIC), CHU A Coruña, Xubias de Abaixo s/n, PC 15006, A Coruña, Spain.|Medical Oncology Department, CHU A Coruña, PC 15006, A Coruña, Spain.
authors: Manuel
authors: M
authors: Valladares-Ayerbes
authors: University of A Coruña (UDC), PC 15006, A Coruña, Spain.|Medical Oncology Department, CHU A Coruña, PC 15006, A Coruña, Spain.
authors: Luis M Antón
authors: LMA
authors: Aparicio
mesh_terms: D000465:Algorithms; D000818:Animals; D019295:Computational Biology / Q000379:methods; D016678:Genome; D023281:Genomics; D006801:Humans; D009369:Neoplasms / Q000235:genetics* / Q000378:metabolism*; D040901:Proteomics / Q000379:methods; D015398:Signal Transduction; D012984:Software; D049490:Systems Biology; D042461:Vascular Endothelial Growth Factor A / Q000378:metabolism
chemical_list: D042461:Vascular Endothelial Growth Factor A