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Título
Epidermal Growth Factor Signaling towards Proliferation: Modeling and Logic Inference Using Forward and Backward Search
Autor(es)
Assunto
Biotecnología
Cell signaling
EGF
EGFR
Pathway Logic tool
Centro de Investigación del Cáncer
Epidermal Growth Factor Snaling
Fecha de publicación
2017
Editor
Hindawi Publishing Corporation
Citación
Riesco, A., Santos-Buitrago, B., De Las Rivas, J., Knapp, M., Santos-García, G., Talcott, C. (2017). Epidermal Growth Factor Signaling towards Proliferation: Modeling and Logic Inference Using Forward and Backward Search. BioMed Research International, Volume 2017(article ID: 1809513).
Resumen
[EN] In biological systems, pathways define complex interaction networks where multiple molecular elements are involved in a series
of controlled reactions producing responses to specific biomolecular signals.These biosystems are dynamic and there is a need for
mathematical and computational methods able to analyze the symbolic elements and the interactions between them and produce
adequate readouts of such systems. In this work, we use rewriting logic to analyze the cellular signaling of epidermal growth factor
(EGF) and its cell surface receptor (EGFR) in order to induce cellular proliferation. Signaling is initiated by binding the ligand
protein EGF to the membrane-bound receptor EGFR so as to trigger a reactions path which have several linked elements through
the cell from the membrane till the nucleus. We present two different types of search for analyzing the EGF/proliferation system
with the help of Pathway Logic tool, which provides a knowledge-based development environment to carry out the modeling of the
signaling. The first one is a standard (forward) search. The second one is a novel approach based on narrowing, which allows us to
trace backwards the causes of a given final state. The analysis allows the identification of critical elements that have to be activated
to provoke proliferation.
URI
ISSN
2314-6133
DOI
10.1155/2017/1809513
Versión del editor
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