ArachnoServer 3.0: an online resource for automated discovery, analysis and annotation of spider toxins

Pineda, Sandy S., Chaumeil, Pierre-Alain, Kunert, Anne, Kaas, Quentin, Thang, Mike W. C., Le, Lien, Nuhn, Michael, Herzig, Volker, Saez, Natalie J., Cristofori-Armstrong, Ben, Anangi, Raveendra, Senff, Sebastian, Gorse, Dominique and King, Glenn F. (2017) ArachnoServer 3.0: an online resource for automated discovery, analysis and annotation of spider toxins. Bioinformatics, 34 6: 1074-1076. doi:10.1093/bioinformatics/btx661


Author Pineda, Sandy S.
Chaumeil, Pierre-Alain
Kunert, Anne
Kaas, Quentin
Thang, Mike W. C.
Le, Lien
Nuhn, Michael
Herzig, Volker
Saez, Natalie J.
Cristofori-Armstrong, Ben
Anangi, Raveendra
Senff, Sebastian
Gorse, Dominique
King, Glenn F.
Title ArachnoServer 3.0: an online resource for automated discovery, analysis and annotation of spider toxins
Journal name Bioinformatics   Check publisher's open access policy
ISSN 1367-4811
1367-4803
Publication date 2017-10-23
Year available 2018
Sub-type Article (original research)
DOI 10.1093/bioinformatics/btx661
Open Access Status Not yet assessed
Volume 34
Issue 6
Start page 1074
End page 1076
Total pages 3
Place of publication Oxford, United Kingdom
Publisher Oxford University Press
Language eng
Subject 2613 Statistics and Probability
1303 Biochemistry
1312 Molecular Biology
1706 Computer Science Applications
1703 Computational Theory and Mathematics
2605 Computational Mathematics
Abstract ArachnoServer is a manually curated database that consolidates information on the sequence, structure, function, and pharmacology of spider-venom toxins. Although spider venoms are complex chemical arsenals, the primary constituents are small disulfide-bridged peptides that target neuronal ion channels and receptors. Due to their high potency and selectivity, these peptides have been developed as pharmacological tools, bioinsecticides, and drug leads. A new version of ArachnoServer (v3.0) has been developed that includes a bioinformatics pipeline for automated detection and analysis of peptide-toxin transcripts in assembled venom-gland transcriptomes. ArachnoServer v3.0 was updated with the latest sequence, structure and functional data, the search-by-mass feature has been enhanced, and toxin cards provide additional information about each mature toxin.
Keyword Peptide Toxins
Sequences
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: HERDC Pre-Audit
Institute for Molecular Bioscience - Publications
 
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Created: Wed, 15 Nov 2017, 12:08:18 EST