| URL: | http://drosophila.biomedtzc.cn |
| Full name: | The Predicted Drosophila Interactome Resource |
| Description: | The Predicted Drosophila Interactome Resource (PDIR) is prepared through the integration of six types of evidence for functional gene associations from 10 public databases. It includes 102,835 gene associations, including predicted 98,056 functional associations and 4,779 experimentally reported interactions. These 102,835 functional associations are expected to cover ~22.6% of the protein-protein interactions of Drosophila. Approximately 50.5% of these functional associations are expected to represent protein-protein interactions. |
| Year founded: | 2020 |
| Last update: | 2020 |
| Version: | 1 |
| Accessibility: |
Accessible
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| Country/Region: | China |
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| University/Institution: | Taizhou University |
| Address: | Institute of Big Data and Artificial Intelligence in Medicine, School of Electronics and Information Engineering, Taizhou University, 1139 Shifu Avenue, Taizhou 318000, China |
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| Province/State: | Taizhou |
| Country/Region: | China |
| Contact name (PI/Team): | Xin Chen |
| Contact email (PI/Helpdesk): | xinchen@zju.edu.cn |
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Predicted Drosophila Interactome Resource and web tool for functional interpretation of differentially expressed genes. [PMID: 32103267]
Drosophila melanogaster is a well-established model organism that is widely used in genetic studies. This species enjoys the availability of a wide range of research tools, well-annotated reference databases and highly similar gene circuitry to other insects. To facilitate molecular mechanism studies in Drosophila, we present the Predicted Drosophila Interactome Resource (PDIR), a database of high-quality predicted functional gene interactions. These interactions were inferred from evidence in 10 public databases providing information for functional gene interactions from diverse perspectives. The current version of PDIR includes 102 835 putative functional associations with balanced sensitivity and specificity, which are expected to cover 22.56% of all Drosophila protein interactions. This set of functional interactions is a good reference for hypothesis formulation in molecular mechanism studies. At the same time, these interactions also serve as a high-quality reference interactome for gene set linkage analysis (GSLA), which is a web tool for the interpretation of the potential functional impacts of a set of changed genes observed in transcriptomics analyses. In a case study, we show that the PDIR/GSLA system was able to produce a more comprehensive and concise interpretation of the collective functional impact of multiple simultaneously changed genes compared with the widely used gene set annotation tools, including PANTHER and David. PDIR and its associated GSLA service can be accessed at http://drosophila.biomedtzc.cn. |