Prediction of combination therapies based on topological modeling of the immune signaling network in multiple sclerosis
Multiple sclerosis (MS) is a major health problem, leading to a significant disability and patient suffering. Although chronic activation of the immune system is a hallmark of the disease, its pathogenesis is poorly understood, while current treatments only ameliorate the disease and may produce sev...
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| Hauptverfasser: | , , , , , , , , , , , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
16 July 2021
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| In: |
Genome medicine
Year: 2021, Jahrgang: 13, Pages: 1-16 |
| ISSN: | 1756-994X |
| DOI: | 10.1186/s13073-021-00925-8 |
| Online-Zugang: | Verlag, kostenfrei, Volltext: https://doi.org/10.1186/s13073-021-00925-8
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| Verfasserangaben: | Marti Bernardo-Faura, Melanie Rinas, Jakob Wirbel, Inna Pertsovskaya, Vicky Pliaka, Dimitris E. Messinis, Gemma Vila, Theodore Sakellaropoulos, Wolfgang Faigle, Pernilla Stridh, Janina R. Behrens, Tomas Olsson, Roland Martin, Friedemann Paul, Leonidas G. Alexopoulos, Pablo Villoslada and Julio Saez-Rodriguez |
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| 520 | |a Multiple sclerosis (MS) is a major health problem, leading to a significant disability and patient suffering. Although chronic activation of the immune system is a hallmark of the disease, its pathogenesis is poorly understood, while current treatments only ameliorate the disease and may produce severe side effects. | ||
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