Identification of key regulators responsible for dysregulated networks in osteoarthritis by large-scale expression analysis

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%.

ISSN: 1749-799X