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Cited by 431

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

Complement, a target for therapy in inflammatory and degenerative diseases

Open access
Morgan, B. Paul, Harris, Claire L.·2015·Nature Reviews Drug Discovery

Abstract

The complement system is a key innate immune defence against infection and an important driver of inflammation; however, these very properties can also cause harm. Inappropriate or uncontrolled activation of complement can cause local and/or systemic inflammation, tissue damage and disease. Complement provides numerous options for drug development as it is a proteolytic cascade that involves nine specific proteases, unique multimolecular activation and lytic complexes, an arsenal of natural inhibitors, and numerous receptors that bind to activation fragments. Drug design is facilitated by the increasingly detailed structural understanding of the molecules involved in the complement system. Only two anti-complement drugs are currently on the market, but many more are being developed for diseases that include infectious, inflammatory, degenerative, traumatic and neoplastic disorders. In this Review, we describe the history, current landscape and future directions for anti-complement therapies.

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Metadata

Authors
Morgan, B. P., & Harris, C. L.
Venue
Nature Reviews Drug Discovery
Published
2015-10-23
Volume
14
Issue
12
Pages
857-877
ISSN
  • 1474-1776 (ISSN-L)
  • 1474-1784
OpenAlex
W2298789261
Cited by
431
References
13
FWCI
2.86
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Complement, a target for therapy in inflammatory and degenerative diseases. https://app.cochat.ai/papers/10.1038/nrd4657
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Morgan, B. P., & Harris, C. L. (2015). Complement, a target for therapy in inflammatory and degenerative diseases. Nature Reviews Drug Discovery. https://doi.org/10.1038/nrd4657

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.