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Cited by 298

The DOI matches its Crossref record; 103 of the 103 references it cites were found in a registry or an index.

Spider-Venom Peptides as Therapeutics

Open access
Saez, Natalie J., Senff, Sebastian, Jensen, Jonas E., Er, Sing Yan, Herzig, Volker, Rash, Lachlan D., King, Glenn F.·2010·Toxins

Abstract

Spiders are the most successful venomous animals and the most abundant terrestrial predators. Their remarkable success is due in large part to their ingenious exploitation of silk and the evolution of pharmacologically complex venoms that ensure rapid subjugation of prey. Most spider venoms are dominated by disulfide-rich peptides that typically have high affinity and specificity for particular subtypes of ion channels and receptors. Spider venoms are conservatively predicted to contain more than 10 million bioactive peptides, making them a valuable resource for drug discovery. Here we review the structure and pharmacology of spider-venom peptides that are being used as leads for the development of therapeutics against a wide range of pathophysiological conditions including cardiovascular disorders, chronic pain, inflammation, and erectile dysfunction.

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Crossref · 10.3390/toxins2122851

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Metadata

Authors
Saez, N. J., Senff, S., Jensen, J. E., Er, S. Y., Herzig, V., Rash, L. D., & King, G. F.
Venue
Toxins
Publisher
MDPI AG
Published
2010-12-20
Volume
2
Issue
12
Pages
2851-2871
ISSN
2072-6651 (ISSN-L)
OpenAlex
W1989299599
Cited by
298
References
103
FWCI
6.71
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Spider-Venom Peptides as Therapeutics. https://app.cochat.ai/papers/10.3390/toxins2122851
The paper
Saez, N. J., Senff, S., Jensen, J. E., Er, S. Y., Herzig, V., Rash, L. D., & King, G. F. (2010). Spider-Venom Peptides as Therapeutics. Toxins. https://doi.org/10.3390/toxins2122851

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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.