HDR

Drug repositioning based on a heterogeneous network of drugs and diseases
**Motivation:** Computational drug repositioning is nowadays a widely used approach for finding new uses of existing and experimental drugs. Network-based methods, which rely on the functional relationships between drugs, genes, proteins, and diseases, have shown to be effective. <br>**Results:** In this study, we developed network-based method, namely HDR, as an app of Cytoscape platform for drug repositioning. The task was approached in both drug- and disease-centric views. Besides, it can use both pre-installed and imported networks, thus makes the user flexible in selecting datasets of interest. In addition, predicted and existing associations between drugs and diseases as well as involved pathways/protein complexes/genes/targets can be visualized intuitively, thus supporting evidence for the predicted ones. The ability of HDR was also shown by comparing its overall prediction performance with some existing methods and by identifying drugs that can be repurposed for COVID-19 as well as potential diseases can be treated by Thalidomide.

1.0.3

Works with Cytoscape 3.6

Release Notes

- Improve visualization functions to be more flexible to interpretation

1.0.2

Works with Cytoscape 3.6

Release Notes

- Add protein complex-based supporting evidence - Add detail information panel (east panel) for drug, disease, pathway

1.0.1

Works with Cytoscape 3.6

Release Notes

Fixed visualization functions

1.0

Works with Cytoscape 3.6


CYTOSCAPE 3

Version 1.0.3

Released 29 May 2021

Works with Cytoscape 3.6

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