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Animal Toxins: How is Complexity Represented in Databases?
Swiss Institute of Bioinformatics, Centre Medical Universitaire, 1 rue Michel-Servet, 1211 Genève 4, Switzerland
Department of Structural Biology and Bioinformatics, Faculty of Medicine, University of Geneva, Switzerland
Swiss Institute of Bioinformatics, Vital-IT Group, 1015 Lausanne, Switzerland
* Author to whom correspondence should be addressed.
Received: 22 January 2010; in revised form: 10 February 2010 / Accepted: 11 February 2010 / Published: 21 February 2010
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
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Cite This Article
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.
Jungo F, Estreicher A, Bairoch A, Bougueleret L, Xenarios I. Animal Toxins: How is Complexity Represented in Databases? Toxins. 2010; 2(2):262-282.
Jungo, Florence; Estreicher, Anne; Bairoch, Amos; Bougueleret, Lydie; Xenarios, Ioannis. 2010. "Animal Toxins: How is Complexity Represented in Databases?" Toxins 2, no. 2: 262-282.