hp-DPI: Helicobacter pylori Database of Protein Interactomes—embracing experimental and inferred interactions | Zendy

ChungYen Lin | Zendy; Chia-Ling Chen | Zendy; Chi-Shiang Cho | Zendy; Liming Wang | Zendy; ChiaMing Chang | Zendy; PaoYang Chen | Zendy; Chen-Zen Lo | Zendy; Chao A. Hsiung | Zendy

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hp-DPI: Helicobacter pylori Database of Protein Interactomes—embracing experimental and inferred interactions

Author(s) -

ChungYen Lin,

Chia-Ling Chen,

Chi-Shiang Cho,

Liming Wang,

ChiaMing Chang,

PaoYang Chen,

Chen-Zen Lo,

Chao A. Hsiung

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/bti101

Subject(s) - protein–protein interaction , genbank , helicobacter pylori , kegg , annotation , computational biology , visualization , biology , computer science , database , genetics , data mining , gene ontology , gene , gene expression

We implemented a statistical model into our protein interaction database for validation of two-hybrid assays of Helicobacter pylori, and prediction of putative protein interactions not yet discovered experimentally. To present the enormous amount of experimental and inferred protein interaction networking maps, the H.pylori Database of Protein Interactomes (hp-DPI) is developed with a succinct yet comprehensive visualization tool integrated with annotation from Genbank, GO, and KEGG. hp-DPI is first built with, but not limited to, H.pylori protein interactions and is expected to naturally include other organisms' protein interacting relationships in the future.

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