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dc.contributor.author | Riesco, Adrián | |
dc.contributor.author | Santos-Buitrago, Beatriz | |
dc.contributor.author | Rivas Sanz, Javier de las | |
dc.contributor.author | Knapp, Merrill | |
dc.contributor.author | Santos-García, Gustavo | |
dc.contributor.author | Talcott, Carolyn | |
dc.date.accessioned | 2020-01-30T08:44:55Z | |
dc.date.available | 2020-01-30T08:44:55Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | 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). | es_ES |
dc.identifier.issn | 2314-6133 | |
dc.identifier.uri | http://hdl.handle.net/10366/140725 | |
dc.description.abstract | [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. | es_ES |
dc.format.mimetype | application/pdf | |
dc.language.iso | eng | es_ES |
dc.publisher | Hindawi Publishing Corporation | es_ES |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Biotecnología | es_ES |
dc.subject | Cell signaling | es_ES |
dc.subject | EGF | es_ES |
dc.subject | EGFR | es_ES |
dc.subject | Pathway Logic tool | es_ES |
dc.subject | Centro de Investigación del Cáncer | es_ES |
dc.subject | Epidermal Growth Factor Snaling | es_ES |
dc.subject.mesh | Epidermal Growth Factor | * |
dc.title | Epidermal Growth Factor Signaling towards Proliferation: Modeling and Logic Inference Using Forward and Backward Search | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.relation.publishversion | https://doi.org/10.1155/2017/1809513 | |
dc.relation.publishversion | https://doi.org/10.1155/2017/1809513 | |
dc.identifier.doi | 10.1155/2017/1809513 | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
dc.identifier.essn | 2314-6141 | |
dc.journal.title | BioMed Research International | es_ES |
dc.volume.number | 2017 | es_ES |
dc.page.initial | 1 | es_ES |
dc.page.final | 11 | es_ES |
dc.type.hasVersion | info:eu-repo/semantics/publishedVersion | es_ES |
dc.subject.decs | factor de crecimiento epidérmico | * |