scholarly journals The Mammalian Protein-Protein Interaction Database and Its Viewing System That Is Linked to the Main FANTOM2 Viewer

2003 ◽  
Vol 13 (6) ◽  
pp. 1534-1541 ◽  
Author(s):  
H. Suzuki
Keyword(s):  
Protein Interaction ◽  
Protein Protein Interaction ◽  
Interaction Database ◽  
Protein Interaction Database ◽  
Mammalian Protein

scholarly journals The MIPS mammalian protein-protein interaction database

2004 ◽  
Vol 21 (6) ◽  
pp. 832-834 ◽  
Author(s):  
P. Pagel ◽  
S. Kovac ◽  
M. Oesterheld ◽  
B. Brauner ◽  
I. Dunger-Kaltenbach ◽  
...  
Keyword(s):  
Protein Interaction ◽  
Protein Protein Interaction ◽  
Interaction Database ◽  
Protein Interaction Database ◽  
Mammalian Protein

scholarly journals HMNPPID—human malignant neoplasm protein–protein interaction database

2019 ◽  
Vol 13 (S1) ◽  
Author(s):  
Qingqing Li ◽  
Zhihao Yang ◽  
Zhehuan Zhao ◽  
Ling Luo ◽  
Zhiheng Li ◽  
...  
Keyword(s):  
Protein Interaction ◽  
Protein Interactions ◽  
Molecular Mechanisms ◽  
Malignant Neoplasm ◽  
Biomedical Literature ◽  
Malignant Neoplasms ◽  
Protein Protein Interactions ◽  
Protein Protein Interaction ◽  
Interaction Database ◽  
Protein Interaction Database

Abstract Background Protein–protein interaction (PPI) information extraction from biomedical literature helps unveil the molecular mechanisms of biological processes. Especially, the PPIs associated with human malignant neoplasms can unveil the biology behind these neoplasms. However, such PPI database is not currently available. Results In this work, a database of protein–protein interactions associated with 171 kinds of human malignant neoplasms named HMNPPID is constructed. In addition, a visualization program, named VisualPPI, is provided to facilitate the analysis of the PPI network for a specific neoplasm. Conclusions HMNPPID can hopefully become an important resource for the research on PPIs of human malignant neoplasms since it provides readily available data for healthcare professionals. Thus, they do not need to dig into a large amount of biomedical literatures any more, which may accelerate the researches on the PPIs of malignant neoplasms.

scholarly journals A comprehensive manually curated protein–protein interaction database for the Death Domain superfamily

2011 ◽  
Vol 40 (D1) ◽  
pp. D331-D336 ◽  
Author(s):  
Dongseop Kwon ◽  
Jong Hwan Yoon ◽  
Soo-Yong Shin ◽  
Tae-Ho Jang ◽  
Hong-Gee Kim ◽  
...  
Keyword(s):  
Protein Interaction ◽  
Death Domain ◽  
Protein Protein Interaction ◽  
Interaction Database ◽  
Protein Interaction Database ◽  
Death Domain Superfamily

scholarly journals SPIDer: Saccharomyces protein-protein interaction database

2006 ◽  
Vol 7 (Suppl 5) ◽  
pp. S16 ◽  
Author(s):  
Xiaomei Wu ◽  
Lei Zhu ◽  
Jie Guo ◽  
Cong Fu ◽  
Hongjun Zhou ◽  
...  
Keyword(s):  
Protein Interaction ◽  
Protein Protein Interaction ◽  
Interaction Database ◽  
Protein Interaction Database

scholarly journals SynechoNET: integrated protein-protein interaction database of a model cyanobacterium Synechocystis sp. PCC 6803

2008 ◽  
Vol 9 (Suppl 1) ◽  
pp. S20 ◽  
Author(s):  
Woo-Yeon Kim ◽  
Sungsoo Kang ◽  
Byoung-Chul Kim ◽  
Jeehyun Oh ◽  
Seongwoong Cho ◽  
...  
Keyword(s):  
Protein Interaction ◽  
Protein Protein Interaction ◽  
Interaction Database ◽  
Protein Interaction Database ◽  
Synechocystis Sp ◽  
Pcc 6803

scholarly journals Viruses.STRING: A virus–host protein–protein interaction database

2018 ◽  
Author(s):  
Helen Victoria Cook ◽  
Nadezhda Tsankova ◽  
Damian Szklarczyk ◽  
Christian von Mering ◽  
Lars Juhl Jensen
Keyword(s):  
Protein Interaction ◽  
Protein Interactions ◽  
Host Protein ◽  
Interaction Data ◽  
Protein Protein Interactions ◽  
Host Proteins ◽  
Host Interactions ◽  
Protein Protein Interaction ◽  
Interaction Database ◽  
Protein Interaction Database

AbstractAs viruses continue to pose risks to global health, having a better un-derstanding of virus–host protein–protein interactions aids in the development of treatments and vaccines. Here, we introduce Viruses.STRING, a protein–protein interaction database specifically catering to virus-virus and virus-host interactions. This database combines evidence from experimental and text-mining channels to provide combined probabilities for interactions between viral and host proteins. The database contains 177,425 interactions between 239 viruses and 319 hosts. The database is publicly available at viruses.string-db.org, and the interaction data can also be accessed through the latest version of the Cytoscape STRING app.

scholarly journals PDZBase: a protein-protein interaction database for PDZ-domains

2004 ◽  
Vol 21 (6) ◽  
pp. 827-828 ◽  
Author(s):  
T. Beuming ◽  
L. Skrabanek ◽  
M. Y. Niv ◽  
P. Mukherjee ◽  
H. Weinstein
Keyword(s):  
Protein Interaction ◽  
Pdz Domains ◽  
Protein Protein Interaction ◽  
Interaction Database ◽  
Protein Interaction Database

scholarly journals PPIM: A Protein-Protein Interaction Database for Maize

2015 ◽  
Vol 170 (2) ◽  
pp. 618-626 ◽  
Author(s):  
Guanghui Zhu ◽  
Aibo Wu ◽  
Xin-Jian Xu ◽  
Pei-Pei Xiao ◽  
Le Lu ◽  
...  
Keyword(s):  
Protein Interaction ◽  
Protein Protein Interaction ◽  
Interaction Database ◽  
Protein Interaction Database

scholarly journals Viruses.STRING: A Virus-Host Protein-Protein Interaction Database

Viruses ◽  
2018 ◽  
Vol 10 (10) ◽  
pp. 519 ◽  
Author(s):  
Helen Cook ◽  
Nadezhda Doncheva ◽  
Damian Szklarczyk ◽  
Christian von Mering ◽  
Lars Jensen
Keyword(s):  
Protein Interaction ◽  
Protein Interactions ◽  
Host Protein ◽  
Interaction Data ◽  
Protein Protein Interactions ◽  
Host Proteins ◽  
Host Interactions ◽  
Protein Protein Interaction ◽  
Interaction Database ◽  
Protein Interaction Database

As viruses continue to pose risks to global health, having a better understanding of virus–host protein–protein interactions aids in the development of treatments and vaccines. Here, we introduce Viruses.STRING, a protein–protein interaction database specifically catering to virus–virus and virus–host interactions. This database combines evidence from experimental and text-mining channels to provide combined probabilities for interactions between viral and host proteins. The database contains 177,425 interactions between 239 viruses and 319 hosts. The database is publicly available at viruses.string-db.org, and the interaction data can also be accessed through the latest version of the Cytoscape STRING app.

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