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dc.date.accessioned 2017-10-25T18:05:31Z
dc.date.available 2017-10-25T18:05:31Z
dc.date.issued 2017
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/63179
dc.description.abstract Abstract—From a network medicine perspective, diseases are caused by perturbations in the dynamics of multiple interacting genes - a disease module. A drug that is a suitable candidate for re-purposing, should affect perturbed disease modules other than the one for which it was designed. In other words, it must act on various disease modules. A systematic analysis of re purposing suitability requires deeper understanding of drug target modularity. In this paper, we present a large-scale analysis of drug-target relationships, evaluating the locality of drug targets in protein-protein interaction networks. We show that the various drugs in each category affect different regions in biological networks, and present modular features. Additionally, multiple targets associated to the same drug appear close in the interactome. Our statistical analysis of the functions of the known drug targets reveals that peripheral functions of disease modules, such as signalling, are common targets for many drugs. es
dc.format.extent 48-55 es
dc.language en es
dc.subject medicamentos es
dc.subject enfermedad es
dc.subject Análisis Estadístico es
dc.subject drug targets es
dc.title An Exploratory Analysis on Drug Target Locality en
dc.type Objeto de conferencia es
sedici.identifier.uri http://www.clei2017-46jaiio.sadio.org.ar/sites/default/files/Mem/AGRANDA/AGRANDA-10.pdf es
sedici.identifier.issn 2451-7569 es
sedici.creator.person Cáceres, Juan José es
sedici.creator.person Paccanaro, Alberto es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Sociedad Argentina de Informática e Investigación Operativa (SADIO) es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)
sedici.rights.uri http://creativecommons.org/licenses/by-sa/3.0/
sedici.date.exposure 2017-09
sedici.relation.event Simposio Argentino de GRANdes DAtos (AGRANDA) - JAIIO 46 (Córdoba, 2017) es
sedici.description.peerReview peer-review es


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Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)