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Toxins 2010, 2(2), 262-282; doi:10.3390/toxins2020261
Review

Animal Toxins: How is Complexity Represented in Databases?

1,* , 1
, 2
, 1
 and 1,3
1 Swiss Institute of Bioinformatics, Centre Medical Universitaire, 1 rue Michel-Servet, 1211 Genève 4, Switzerland 2 Department of Structural Biology and Bioinformatics, Faculty of Medicine, University of Geneva, Switzerland 3 Swiss Institute of Bioinformatics, Vital-IT Group, 1015 Lausanne, Switzerland
* Author to whom correspondence should be addressed.
Received: 22 January 2010 / Revised: 10 February 2010 / Accepted: 11 February 2010 / Published: 21 February 2010
(This article belongs to the Special Issue Animal Venoms)
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Abstract

Peptide toxins synthesized by venomous animals have been extensively studied in the last decades. To be useful to the scientific community, this knowledge has been stored, annotated and made easy to retrieve by several databases. The aim of this article is to present what type of information users can access from each database. ArachnoServer and ConoServer focus on spider toxins and cone snail toxins, respectively. UniProtKB, a generalist protein knowledgebase, has an animal toxin-dedicated annotation program that includes toxins from all venomous animals. Finally, the ATDB metadatabase compiles data and annotations from other databases and provides toxin ontology.
Keywords: animal toxin; ArachnoServer; ATDB; ConoServer; database; Tox-Prot; UniProtKB/Swiss-Prot; venom protein animal toxin; ArachnoServer; ATDB; ConoServer; database; Tox-Prot; UniProtKB/Swiss-Prot; venom protein
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Jungo, F.; Estreicher, A.; Bairoch, A.; Bougueleret, L.; Xenarios, I. Animal Toxins: How is Complexity Represented in Databases? Toxins 2010, 2, 262-282.

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