Animal Toxins: How is Complexity Represented in Databases?
Details
Download: BIB_A66BBD0B1968.P001.pdf (648.33 [Ko])
State: Public
Version: author
State: Public
Version: author
Serval ID
serval:BIB_A66BBD0B1968
Type
Article: article from journal or magazin.
Publication sub-type
Review (review): journal as complete as possible of one specific subject, written based on exhaustive analyses from published work.
Collection
Publications
Institution
Title
Animal Toxins: How is Complexity Represented in Databases?
Journal
Toxins
ISSN
2072-6651 (Electronic)
ISSN-L
2072-6651
Publication state
Published
Issued date
2010
Volume
2
Number
2
Pages
262-282
Language
english
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
Pubmed
Web of science
Open Access
Yes
Create date
17/10/2012 11:52
Last modification date
20/08/2019 15:11