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In silico prediction of targets for anti-angiogenesis and their in vitro evaluation confirm the involvement of SOD3 in angiogenesis
Biocomputational network approaches are being successfully applied to predict and extract previously unknown information of novel molecular components of biological systems. In the present work, we have used this approach to predict new potential targets of anti-angiogenic therapies. For experimenta...
Autores principales: | García-Vilas, Javier A., Morilla, Ian, Bueno, Anibal, Martínez-Poveda, Beatriz, Medina, Miguel Ángel, Ranea, Juan A.G. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5915121/ https://www.ncbi.nlm.nih.gov/pubmed/29707113 http://dx.doi.org/10.18632/oncotarget.24693 |
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