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Bioinformatics Advance Access published online on October 28, 2004
Bioinformatics, doi:10.1093/bioinformatics/bti101
Bioinformatics © Oxford University Press 2004; all rights reserved
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Received June 24, 2004
Revised September 17, 2004
Accepted October 17, 2004

Applications note

hp-DPI: Helicobacter pylori database of protein interactomes- embracing experimental and inferred interactions

Chung-Yen Lin 1*, Chia-Ling Chen 1, Chi-Shiang Cho 1, Li-Ming Wang 1, Chia-Ming Chang 1, Pao-Yang Chen 1, Chen-Zen Lo 1, and Chao A. Hsiungs 1

1 Division of Biostatistics and Bioinformatics, National Health Research Institutes. #128, Sec. 2 Yaun-Chio-Yun Rd. Taipei 115, Taiwan

* To whom correspondence should be addressed.
Chung-Yen Lin, E-mail: cylin{at}nhri.org.tw


  Abstract

Summary: 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.

Availability: hp-DPI can be accessed at http://dpi.nhri.org.tw/hp/.


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This article has been cited by other articles:


Home page
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C.-Y. Lin, C.-H. Chin, H.-H. Wu, S.-H. Chen, C.-W. Ho, and M.-T. Ko
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[Abstract] [Full Text] [PDF]


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