Application of CellDesigner to the Selection of Anticancer Drug Targets: Test Case using P53

Isea, Raúl; Hoebeke, Johan; Mayo, Rafael; Alvarez, Fernando; Holmes, David S.; Aguiló, J.; Freire, A.; de la Iglesia, D.; López, V.; Pazos, A.


Cancer is a disease involving many genes, consequently it has been difficult to design anticancer drugs that are efficacious over a broad range of cancers. The robustness of cellular responses to gene knockout and the need to reduce undesirable side effects also contribute to the problem of effective anti-cancer drug design. To promote the successful selection of drug targets, each potential target should be subjected to a systems biology scrutiny to locate effective and specific targets while minimizing undesirable side effects. The gene p53 is considered a good candidate for such a target because it has been implicated in 50% of all cancers and is considered to encode a hub protein that is highly connected to other proteins. Using P53 as a test case, this paper explores the capacity of the systems biology tool, CellDesigner, to aid in the selection of anticancer drug targets and to serve as a teaching resource for human resource development.

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Editorial: Programa Iberoamericano de Ciencia y Tecnologia para el Desarrollo
Fecha de publicación: 2013
Página de inicio: 75
Página final: 82
Idioma: English