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. 2020 Mar 17;9:e52614. doi: 10.7554/eLife.52614

Figure 5. Drug repurposing using the Wikidata knowledge graph.

We analyzed three snapshots of Wikidata using Rephetio, a graph-based algorithm for predicting drug repurposing candidates (Himmelstein et al., 2017). We evaluated the performance of the Rephetio algorithm on three historical versions of the Wikidata knowledge graph, quantified based on the area under the receiver operator characteristic curve (AUC). This analysis demonstrated that the performance of Rephetio in drug repurposing improved over time based only on improvements to the underlying knowledge graph. Details of this analysis can be found at https://github.com/SuLab/WD-rephetio-analysis (archived at Mayers and Su, 2020).

Figure 5.

Figure 5—figure supplement 1. Drug repurposing using the Wikidata knowledge graph, evaluated using an external test set.

Figure 5—figure supplement 1.

The analysis in Figure 5 was based on a cross-validation of indications that were present in Wikidata. This time-resolved analysis was run using an external gold standard set of indications from Drug Central (Ursu et al., 2017).