CysView: protein classification based on cysteine pairing patterns | Zendy

J. Lenffer | Zendy; P. Lai | Zendy; W. El Mejaber | Zendy; Asif M. Khan | Zendy; Judice L.Y. Koh | Zendy; Paul Tan | Zendy; Seng Hong Seah | Zendy; Vladimir Brusić | Zendy

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CysView: protein classification based on cysteine pairing patterns

Author(s) -

J. Lenffer,

P. Lai,

W. El Mejaber,

Asif M. Khan,

Judice L.Y. Koh,

Paul Tan,

Seng Hong Seah,

Vladimir Brusić

Publication year - 2004

Publication title -

nucleic acids research

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 9.008

H-Index - 537

eISSN - 1362-4954

pISSN - 0305-1048

DOI - 10.1093/nar/gkh475

Subject(s) - pairing , cysteine , biology , homology (biology) , computational biology , disulfide bond , representation (politics) , computer science , bioinformatics , genetics , biochemistry , amino acid , physics , superconductivity , quantum mechanics , politics , political science , law , enzyme

CysView is a web-based application tool that identifies and classifies proteins according to their disulfide connectivity patterns. It accepts a dataset of annotated protein sequences in various formats and returns a graphical representation of cysteine pairing patterns. CysView displays cysteine patterns for those records in the data with disulfide annotations. It allows the viewing of records grouped by connectivity patterns. CysView's utility as an analysis tool was demonstrated by the rapid and correct classification of scorpion toxin entries from GenPept on the basis of their disulfide pairing patterns. It has proved useful for rapid detection of irrelevant and partial records, or those with incomplete annotations. CysView can be used to support distant homology between proteins. CysView is publicly available at http://research.i2r.a-star.edu.sg/CysView/.

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