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

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...

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Bibliographic Details
Main Authors: 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, Julio Saez-Rodriguez
Format: Article
Language:English
Published: BMC 2021-07-01
Series:Genome Medicine
Subjects:
Signaling networks
Pathways
Network modeling
Logic modeling
Kinases
Treatment
Online Access:https://doi.org/10.1186/s13073-021-00925-8

Internet

https://doi.org/10.1186/s13073-021-00925-8

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