Systematic analysis of snake neurotoxins' functional classification using a data warehousing approach | Zendy

Joyce Phui Yee Siew | Zendy; Asif M. Khan | Zendy; Paul Tan | Zendy; Judice L.Y. Koh | Zendy; Seng Hong Seah | Zendy; Chuay-Yeng Koo | Zendy; Siaw Ching Chai | Zendy; Arunmozhiarasi Armugam | Zendy; Vladimir Brusić | Zendy; Kandiah Jeyaseelan | Zendy

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Systematic analysis of snake neurotoxins' functional classification using a data warehousing approach

Author(s) -

Joyce Phui Yee Siew,

Asif M. Khan,

Paul Tan,

Judice L.Y. Koh,

Seng Hong Seah,

Chuay-Yeng Koo,

Siaw Ching Chai,

Arunmozhiarasi Armugam,

Vladimir Brusić,

Kandiah Jeyaseelan

Publication year - 2004

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bth430

Subject(s) - annotation , phylogenetic tree , computer science , sequence (biology) , database , function (biology) , online database , computational biology , information retrieval , biology , artificial intelligence , evolutionary biology , gene , biochemistry , genetics

Sequence annotations, functional and structural data on snake venom neurotoxins (svNTXs) are scattered across multiple databases and literature sources. Sequence annotations and structural data are available in the public molecular databases, while functional data are almost exclusively available in the published articles. There is a need for a specialized svNTXs database that contains NTX entries, which are organized, well annotated and classified in a systematic manner.

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