Publication: Prediction of combination therapies based on topological modeling of the immune signaling network in multiple sclerosis
Prediction of combination therapies based on topological modeling of the immune signaling network in multiple sclerosis
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Bernardo-Faura, M., Rinas, M., Wirbel, J., Pertsovskaya, I., Pliaka, V., Messinis, D. E., Vila, G., Sakellaropoulos, T., Faigle, W., Stridh, P., Behrens, J. R., Olsson, T., Martin, R., Paul, F., Alexopoulos, L. G., Villoslada, P., & Saez-Rodriguez, J. (2021). Prediction of combination therapies based on topological modeling of the immune signaling network in multiple sclerosis. Genome Medicine, 13, 117. https://doi.org/10.1186/s13073-021-00925-8
Abstract
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Abstract
Background: 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.
Methods: Here, we applied a network-based modeling approach based on phosphoproteomic data to uncover the differential activation in signaling wiring between healthy donors, untreated patients, and those under
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- Bernardo-Faura, Marti
- Rinas, Melanie
- Wirbel, Jakob
- Pertsovskaya, Inna
- Pliaka, Vicky
- Messinis, Dimitris E
- Vila, Gemma
- Sakellaropoulos, Theodore
- Faigle, Wolfgang
- Stridh, Pernilla
- Behrens, Janina R
- Olsson, Tomas
- Paul, Friedemann
- Alexopoulos, Leonidas G
- Villoslada, Pablo
- Saez-Rodriguez, Julio
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Bernardo-Faura, M., Rinas, M., Wirbel, J., Pertsovskaya, I., Pliaka, V., Messinis, D. E., Vila, G., Sakellaropoulos, T., Faigle, W., Stridh, P., Behrens, J. R., Olsson, T., Martin, R., Paul, F., Alexopoulos, L. G., Villoslada, P., & Saez-Rodriguez, J. (2021). Prediction of combination therapies based on topological modeling of the immune signaling network in multiple sclerosis. Genome Medicine, 13, 117. https://doi.org/10.1186/s13073-021-00925-8
