From: Computationally repurposing drugs for breast cancer subtypes using a network-based approach
Rank | Drug Name | Pearson Correlation | Dosage | Time (h) |
---|---|---|---|---|
1 | Ruxolitinib | − 0.765 | 10 | 24 |
2 | Raloxifene | − 0.652 | 0.04 | 24 |
3 | PF-04217903 | − 0.649 | 0.04 | 24 |
4 | PD-173074 | − 0.603 | 10 | 24 |
5 | TG-100801 | − 0.591 | 0.04 | 24 |
6 | Dexamethasone | − 0.589 | 0.04 | 24 |
7 | Semaxanib | − 0.588 | 0.04 | 24 |
8 | Rupatadine | − 0.575 | 0.04 | 24 |
9 | Tranilast | − 0.574 | 0.04 | 24 |
10 | Bromocriptine | − 0.565 | 0.04 | 24 |
11 | ICI-185282 | − 0.562 | 0.04 | 24 |
12 | Hymecromone | − 0.558 | 0.04 | 24 |
13 | Emtricitabine | − 0.556 | 10 | 24 |
14 | Phentermine | − 0.554 | 0.04 | 24 |
15 | Fludarabine-Phosphate | − 0.548 | 10 | 24 |
16 | JTC-801 | − 0.547 | 0.04 | 24 |
17 | AMG-232 | − 0.541 | 10 | 24 |
18 | Lidocaine | − 0.525 | 0.04 | 24 |
19 | Amiprilose | − 0.520 | 0.04 | 24 |
20 | Labetalol | − 0.515 | 0.04 | 24 |