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http://hdl.handle.net/10261/18...
Part of book or chapter of book
Data sources: UnpayWall
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
Recolector de Ciencia Abierta, RECOLECTA
Part of book or chapter of book . 2019 . Peer-reviewed
https://doi.org/10.1039/978178...
Part of book or chapter of book . 2019 . Peer-reviewed
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Protein Kinase Inhibitors for the Treatment of Multiple Sclerosis

Authors: Martínez Gil, Ana; Gil, Carmen;

Protein Kinase Inhibitors for the Treatment of Multiple Sclerosis

Abstract

Dysregulation of the activity of protein kinases has been associated with numerous diseases such as cancer or chronic inflammatory conditions. Therefore, protein kinases are attractive drug targets that are the most intensively pursued by both industrial and academic laboratories, with great success in the cancer field. Today, more than 40 protein kinase inhibitors have been approved for cancer therapy. This success, coupled with a greater understanding of inflammatory signalling cascades and cell death and regeneration pathways, led to kinase inhibitors taking centre stage in the pursuit for new drugs for the treatment of many unmet diseases. Moreover, considering that multiple sclerosis (MS) is classified as an autoimmune disease of the central nervous system (CNS), protein kinases as key drivers of many inflammatory-mediated diseases represent an important and promising class of emerging therapeutic targets for MS. It is only a matter of time to witness whether the modulation of the protein kinases collected in this chapter may become a valuable option for the future treatment of MS.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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