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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Drug Discovery Today...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Drug Discovery Today Technologies
Article . 2012 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Targeting chemokines and chemokine receptors with antibodies

Authors: Klarenbeek, A.; Maussang, D.; Blanchetot, C.; Saunders, M.; van der Woning, S.P.; Smit, M.J.; Haard, H.; +1 Authors

Targeting chemokines and chemokine receptors with antibodies

Abstract

Chemokines and their receptors are highly interesting therapeutic targets for pharmaceutical and biotechnology companies. In particular, industrial development pipelines are filled with new chemokine-targeting drugs to treat inflammatory diseases and malignancies. In this review, we specifically highlight antibody-based therapeutics and monoclonal antibodies (mAbs) targeting the chemokine system. Besides discussing pitfalls inherently linked to their discovery, we will elaborate on where progress can be made in the development of novel human therapeutic antibodies directed at the chemokine system. © 2012 Elsevier Ltd. All rights reserved.

Country
Netherlands
Keywords

SDG 17 - Partnerships for the Goals, SDG 3 - Good Health and Well-being

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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).
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    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.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
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!
29
Top 10%
Top 10%
Top 10%
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