Analysis and application of large-scale protein-protein interaction data sets

2005 ◽  
Vol 50 (20) ◽  
pp. 2267-2272 ◽  
Author(s):  
Jingchun Sun ◽  
Jinlin Xu ◽  
Yixue Li ◽  
Tieliu Shi
Keyword(s):  
Protein Interaction ◽  
Large Scale ◽  
Protein Interaction Data ◽  
Data Sets ◽  
Interaction Data ◽  
Protein Protein Interaction

scholarly journals Categorizing Biases in High-Confidence High-Throughput Protein-Protein Interaction Data Sets

2011 ◽  
Vol 10 (12) ◽  
pp. M111.012500 ◽  
Author(s):  
Xueping Yu ◽  
Joseph Ivanic ◽  
Vesna Memišević ◽  
Anders Wallqvist ◽  
Jaques Reifman
Keyword(s):  
High Throughput ◽  
Protein Interaction ◽  
Protein Interaction Data ◽  
Data Sets ◽  
Interaction Data ◽  
High Confidence ◽  
Protein Protein Interaction

scholarly journals Flexible web-based integration of distributed large-scale human protein interaction maps

2007 ◽  
Vol 4 (1) ◽  
pp. 40-50 ◽  
Author(s):  
Gautam Chaurasia ◽  
Yasir Iqbal ◽  
Christian Hänig ◽  
Hanspeter Herzel ◽  
Erich E. Wanker ◽  
...  
Keyword(s):  
Protein Interaction ◽  
Protein Interactions ◽  
Large Scale ◽  
Human Interaction ◽  
Human Protein ◽  
Protein Interaction Data ◽  
Interaction Data ◽  
Protein Protein Interactions ◽  
Human Interactome ◽  
Protein Protein Interaction

Summary Protein-protein interactions constitute the backbone of many molecular processes. This has motivated the recent construction of several large-scale human protein-protein interaction maps [1-10]. Although these maps clearly offer a wealth of information, their use is challenging: complexity, rapid growth, and fragmentation of interaction data hamper their usability. To overcome these hurdles, we have developed a publicly accessible database termed UniHI (Unified Human Interactome) for integration of human protein-protein interaction data. This database is designed to provide biomedical researchers a common platform for exploring previously disconnected human interaction maps. UniHI offers researchers flexible integrated tools for accessing comprehensive information about the human interactome. Several features included in the UniHI allow users to perform various types of network-oriented and functional analysis. At present, UniHI contains over 160,000 distinct interactions between 17,000 unique proteins from ten major interaction maps derived by both computational and experimental approaches [1-10]. Here we describe the details of the implementation and maintenance of UniHI and discuss the challenges that have to be addressed for a successful integration of interaction data.

scholarly journals Mapping Plant Interactomes Using Literature Curated and Predicted Protein–Protein Interaction Data Sets

2010 ◽  
Vol 22 (4) ◽  
pp. 997-1005 ◽  
Author(s):  
KiYoung Lee ◽  
David Thorneycroft ◽  
Premanand Achuthan ◽  
Henning Hermjakob ◽  
Trey Ideker
Keyword(s):  
Protein Interaction ◽  
Protein Interaction Data ◽  
Data Sets ◽  
Interaction Data ◽  
Protein Protein Interaction

scholarly journals BioPlex Display: An Interactive Suite for Large-Scale AP–MS Protein–Protein Interaction Data

2017 ◽  
Vol 17 (1) ◽  
pp. 722-726 ◽  
Author(s):  
Devin K. Schweppe ◽  
Edward L. Huttlin ◽  
J. Wade Harper ◽  
Steven P. Gygi
Keyword(s):  
Protein Interaction ◽  
Large Scale ◽  
Protein Interaction Data ◽  
Interaction Data ◽  
Protein Protein Interaction
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