Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

ArachnoServer

General information

URL: http://arachnoserver.org
Full name:
Description: ArachnoServer is a manually curated database containing information on the sequence, three-dimensional structure, and biological activity of protein toxins derived from spider venom. Spiders are the largest group of venomous animals and they are predicted to contain by far the largest number of pharmacologically active peptide toxins
Year founded: 2009
Last update:
Version: 3.0
Accessibility:
Accessible
Country/Region: Australia

Classification & Tag

Data type:
Data object:
Database category:
Major species:
Keywords:

Contact information

University/Institution: University of Queensland
Address: Institute for Molecular Bioscience.The University of Queensland
City:
Province/State:
Country/Region: Australia
Contact name (PI/Team): Sandy S Pineda
Contact email (PI/Helpdesk): support@arachnoserver.org

Publications

29069336
ArachnoServer 3.0: an online resource for automated discovery, analysis and annotation of spider toxins. [PMID: 29069336]
Pineda SS, Chaumeil PA, Kunert A, Kaas Q, Thang MWC, Le L, Nuhn M, Herzig V, Saez NJ, Cristofori-Armstrong B, Anangi R, Senff S, Gorse D, King GF.

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.
Availability: http://arachnoserver.org.
Contact: support@arachnoserver.org.
Supplementary information: Supplementary data are available at Bioinformatics online.

Bioinformatics. 2018:34(6) | 79 Citations (from Europe PMC, 2025-12-20)
21036864
ArachnoServer 2.0, an updated online resource for spider toxin sequences and structures. [PMID: 21036864]
Herzig V, Wood DL, Newell F, Chaumeil PA, Kaas Q, Binford GJ, Nicholson GM, Gorse D, King GF.

ArachnoServer (www.arachnoserver.org) is a manually curated database providing information on the sequence, structure and biological activity of protein toxins from spider venoms. These proteins are of interest to a wide range of biologists due to their diverse applications in medicine, neuroscience, pharmacology, drug discovery and agriculture. ArachnoServer currently manages 1078 protein sequences, 759 nucleic acid sequences and 56 protein structures. Key features of ArachnoServer include a molecular target ontology designed specifically for venom toxins, current and historic taxonomic information and a powerful advanced search interface. The following significant improvements have been implemented in version 2.0: (i) the average and monoisotopic molecular masses of both the reduced and oxidized form of each mature toxin are provided; (ii) the advanced search feature now enables searches on the basis of toxin mass, external database accession numbers and publication date in ArachnoServer; (iii) toxins can now be browsed on the basis of their phyletic specificity; (iv) rapid BLAST searches based on the mature toxin sequence can be performed directly from the toxin card; (v) private silos can be requested from research groups engaged in venoms-based research, enabling them to easily manage and securely store data during the process of toxin discovery; and (vi) a detailed user manual is now available.

Nucleic Acids Res. 2011:39(Database issue) | 123 Citations (from Europe PMC, 2025-12-20)
19674480
ArachnoServer: a database of protein toxins from spiders. [PMID: 19674480]
Wood DL, Miljenović T, Cai S, Raven RJ, Kaas Q, Escoubas P, Herzig V, Wilson D, King GF.

BACKGROUND: Venomous animals incapacitate their prey using complex venoms that can contain hundreds of unique protein toxins. The realisation that many of these toxins may have pharmaceutical and insecticidal potential due to their remarkable potency and selectivity against target receptors has led to an explosion in the number of new toxins being discovered and characterised. From an evolutionary perspective, spiders are the most successful venomous animals and they maintain by far the largest pool of toxic peptides. However, at present, there are no databases dedicated to spider toxins and hence it is difficult to realise their full potential as drugs, insecticides, and pharmacological probes.
DESCRIPTION: We have developed ArachnoServer, a manually curated database that provides detailed information about proteinaceous toxins from spiders. Key features of ArachnoServer include a new molecular target ontology designed especially for venom toxins, the most up-to-date taxonomic information available, and a powerful advanced search interface. Toxin information can be browsed through dynamic trees, and each toxin has a dedicated page summarising all available information about its sequence, structure, and biological activity. ArachnoServer currently manages 567 protein sequences, 334 nucleic acid sequences, and 51 protein structures.
CONCLUSION: ArachnoServer provides a single source of high-quality information about proteinaceous spider toxins that will be an invaluable resource for pharmacologists, neuroscientists, toxinologists, medicinal chemists, ion channel scientists, clinicians, and structural biologists. ArachnoServer is available online at http://www.arachnoserver.org.

BMC Genomics. 2009:10() | 52 Citations (from Europe PMC, 2025-12-20)

Ranking

All databases:
998/6895 (85.54%)
Structure:
128/967 (86.867%)
998
Total Rank
239
Citations
14.938
z-index

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Record metadata

Created on: 2018-01-27
Curated by:
Lin Liu [2022-08-16]
Fatima Batool [2018-09-04]
Fatima Batool [2018-09-03]
Aniza Aziz [2018-04-10]
Yang Zhang [2018-01-27]