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LinkedPPI: Enabling Intuitive, Integrative Protein-Protein Interaction Discovery

Publication Type: 
Refereed Conference Meeting Proceeding
Abstract: 
Understanding the dynamics of protein-protein interactions (PPIs) is a cardinal step for studying human diseases at the molecular level. Advances in “sequencing” technologies have resulted in a deluge of biological data related to gene and protein expression, yet our knowledge of PPI networks is far from complete. The lack of an integrated vocab- ulary makes querying this data difficult for domain users, whereas the large volume makes it difficult for intuitive exploration. In this paper we employ Linked Data technologies to develop a framework ‘LinkedPPI’ to facilitate domain researchers in integrative PPI discovery. We demon- strate the semantic integration of various data sources pertaining to bi- ological interactions, expression and functions using a domain-specific model. We deploy a platform which enables search and aggregative visu- alization in real-time. We finally showcase three user scenarios to depict how our approach can help identify potential interactions between pro- teins, domains and genomic segments.
Conference Name: 
13th ISWC- 4th Workshop on Linked Science 2014— Making Sense Out of Data (LISC2014)
Proceedings: 
NA
Digital Object Identifer (DOI): 
10.na
Publication Date: 
19/10/2014
Conference Location: 
Italy
Research Group: 
Institution: 
National University of Ireland, Galway (NUIG)
Open access repository: 
No
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