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Bioinformatics
Article . 2007 . Peer-reviewed
Data sources: Crossref
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Bioinformatics
Article
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Bioinformatics
Article . 2008
DBLP
Article . 2020
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ConoServer, a database for conopeptide sequences and structures

Authors: Quentin Kaas; Jan-C. Westermann; Reena Halai; Conan K. L. Wang; David J. Craik;

ConoServer, a database for conopeptide sequences and structures

Abstract

Abstract Summary: ConoServer is a new database dedicated to conopeptides, a large family of peptides found in the venom of marine snails of the genus Conus. These peptides have an exceptional diversity of sequences and chemical modifications and their ability to block ion channels makes them important as drug leads and tools for physiological studies. ConoServer uses standardized names and a genetic and structural classification scheme to present data retrieved from SwissProt, GenBank, the Protein DataBank and the literature. The ConoServer web site incorporates specialized features like the graphic display of post-translational modifications that are extensively present in conopeptides. Currently, ConoServer manages 1214 nucleic sequences (from 54 Conus species), 2258 proteic sequences (from 66 Conus species) and 99 3D structures. Availability: http://research1t.imb.uq.edu.au/conoserver/ Contact: d.craik@imb.uq.edu.au

Country
Australia
Keywords

Biochemistry & Molecular Biology, Protein Conformation, Statistics & Probability, Molecular Sequence Data, Information Storage and Retrieval, Biochemical Research Methods, User-Computer Interface, C1, Sequence Analysis, Protein, Animals, Interdisciplinary Applications, Amino Acid Sequence, Databases, Protein, Internet, Conus Snail, 259900 Other Chemical Sciences, 970103 Expanding Knowledge in the Chemical Sciences, Biotechnology & Applied Microbiology, Computer Science, Database Management Systems, Mathematical & Computational Biology, Conotoxins, Mathematics

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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    203
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
203
Top 1%
Top 10%
Top 10%
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