hp-DPI: Helicobacter pylori database of protein interactomes--embracing experimental and inferred interactions.
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.
Lin
Chung-Yen
CY
Division of Biostatistics and Bioinformatics, National Health Research Institutes, #128, Sec. 2 Yaun-Chio-Yun Rd, Taipei 115, Taiwan. cylin@nhri.org.tw
Chen
Chia-Ling
CL
Cho
Chi-Shiang
CS
Wang
Li-Ming
LM
Chang
Chia-Ming
CM
Chen
Pao-Yang
PY
Lo
Chen-Zen
CZ
Hsiung
Chao A
CA
D000465:Algorithms; D001426:Bacterial Proteins / Q000378:metabolism*; D003196:Computer Graphics; D003628:Database Management Systems; D030562:Databases, Protein; D004282:Documentation / Q000379:methods; D016480:Helicobacter pylori / Q000378:metabolism*; D016247:Information Storage and Retrieval / Q000379:methods*; D009862:Online Systems; D025941:Protein Interaction Mapping / Q000379:methods*; D014584:User-Computer Interface
D001426:Bacterial Proteins