Table 2.
Top 15 drugs predicted by cMap
| Rank | cMap name | Enrichment | p | Specificity | Percent non-null | Description |
|---|---|---|---|---|---|---|
| 1 | MG-262 | − 0.992 | 0 | 0 | 100 | Inhibitor of the chymotryptic activity of the proteasome |
| 2 | Anisomycin | − 0.981 | 0 | 0.0085 | 100 | Antibiotic, inhibiting eukaryotic protein synthesis |
| 3 | Digoxin | − 0.978 | 0 | 0 | 100 | Cardiac glycoside, inhibiting the Na+/K+ ATPase |
| 4 | Ouabain | − 0.977 | 0 | 0.0088 | 100 | Cardiac glycoside, inhibiting the Na+/K+ ATPase |
| 5 | Cephaeline | − 0.955 | 0 | 0.0121 | 100 | Inducing vomiting by stimulating the stomach lining |
| 6 | Emetine | − 0.953 | 0 | 0.0118 | 100 | Inducing vomiting by stimulating the stomach lining |
| 7 | Mebendazole | − 0.943 | 0 | 0 | 100 | Broad-spectrum antihelminthic |
| 8 | Phenoxybenzamine | − 0.941 | 0 | 0.0091 | 100 | Alpha-adrenoceptor antagonist, used as an anti-hypertensive |
| 9 | Digitoxigenin | − 0.937 | 0 | 0 | 100 | Cardiac glycoside, inhibiting the Na+/K+ ATPase |
| 10 | Thioridazine | − 0.701 | 0 | 0.043 | 80 | A first generation antipsychotic drug |
| 11 | 15-Delta prostaglandin J2 | − 0.634 | 0 | 0.0301 | 86 | Anti-inflammatory lipid mediator |
| 12 | LY-294002 | − 0.323 | 0.00002 | 0.2945 | 54 | PI3K-AKT inhibitor |
| 13 | Lomustine | − 0.921 | 0.00006 | 0 | 100 | An alkylating nitrosourea compound used in chemotherapy |
| 14 | Digoxigenin | − 0.879 | 0.00008 | 0 | 100 | Derivative of the cardiac glycoside digoxin |
| 15 | Thapsigargin | − 0.964 | 0.00012 | 0.0258 | 100 | An inhibitor of sarco endoplasmic reticulum Ca2+ ATPase (SERCA) |
Enrichment: Positive enrichment scores represent that the biological state induced by the signature are sought. Likewise, if reversal or repression of the biological state encoded in the query signature is required, the enrichment scores were negative.
p: The Kolmogorov-Smirnov statistic is used for the significance analysis.
Specificity: Specificity measures the uniqueness of the connection between a perturbagen and the signature of interest. High values mean that many signatures show good connectivity with these instances. This may indicate that the connectivity is unexceptional.
The non-null percentage: The non-null percentage is defined as the percentage of all instances in a set of instances that share the majority non-null category of connectivity score. For example, if a perturbagen is represented by five instances, and three of those instances have a positive connectivity score, one instance has a null connectivity score and one instance has a negative connectivity score, the non-null percentage for that perturbagen in that result is 60%.