Mathematical modeling of cancer metabolism
| dc.centro | Facultad de Ciencias | en_US |
| dc.contributor.author | Medina-Torres, Miguel Ángel | |
| dc.date.accessioned | 2018-10-19T09:53:16Z | |
| dc.date.available | 2018-10-19T09:53:16Z | |
| dc.date.created | 2018 | |
| dc.date.issued | 2018-10-19 | |
| dc.departamento | Biología Molecular y Bioquímica | |
| dc.description.abstract | Systemic approaches are needed and useful for the study of the very complex issue of cancer. Modeling has a central position in these systemic approaches. Metabolic reprogramming is nowadays acknowledged as an essential hallmark of cancer. Mathematical modeling could contribute to a better understanding of cancer metabolic reprogramming and to identify new potential ways of therapeutic intervention. Herein, I review several alternative approaches to metabolic modeling and their current and future impact in oncology. | en_US |
| dc.description.sponsorship | Supported by grants BIO2014-56092-R (MINECO and FEDER), P12-CTS-1507 (Andalusian Government and FEDER) and funds from group BIO-267 (Andalusian Government). The “CIBER de Enfermedades Raras” is an initiative from the ISCIII (Spain). The funders had no role in the study design, data collection and analysis, decision to publish or preparation of the manuscript. | en_US |
| dc.identifier.doi | 10.1016/j.critrevonc.2018.02.004 | |
| dc.identifier.uri | https://hdl.handle.net/10630/16664 | |
| dc.language.iso | eng | en_US |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
| dc.rights.accessRights | open access | en_US |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
| dc.subject | Cáncer - Metabolismo | en_US |
| dc.subject.other | Modeling | en_US |
| dc.subject.other | Cancer | en_US |
| dc.subject.other | Metabolism | en_US |
| dc.title | Mathematical modeling of cancer metabolism | en_US |
| dc.type | journal article | es_ES |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | dddb6cd7-0e48-4c9d-82c7-d80fe8b23544 | |
| relation.isAuthorOfPublication.latestForDiscovery | dddb6cd7-0e48-4c9d-82c7-d80fe8b23544 |
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