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. 2013 Apr 4;8(4):e60618. doi: 10.1371/journal.pone.0060618

Table 2. Top drug target predictions for the 30 diseases.

Disease Name Top Drug Target Prediction AUC Baseline AUC
Hyperplastic polyposis syndrome SP1 93.19 69.83
Periodontitis Atp6v1c2 90.98 54.27
Scleroderma STAT1 90.39 55.48
Idiopathic pulmonary fibrosis PTPR-beta 88.26 53.34
Thyroid carcinoma c-Myc 85.67 54.03
AIDS LSm complex 84.94 53.29
Ischemic cardiomyopathy eIF1AY 84.92 58.14
Ovarian cancer Intelectin-1 83.83 57.33
Sickle-cell disease Dynactin complex 82.07 64.72
Acute myeloid leukemia SP1 81.95 51.62
Melanoma c-Myc 81.63 51.75
Sjogren's syndrome P53 81.44 57.71
Colorectal cancer c-Myc 81.13 51.08
Hepatocellular carcinoma P53 80.19 51.88
Psoriasis 5T4 79.25 50.94
Melanoma with metastasis c-Myc 78.79 52.55
Septic shock c-Jun 78.68 52.32
HIV STAT1 77.64 51.33
Obesity SP1 76.65 51.48
Malaria c-Myc 75.79 51.33
Systemic lupus erythematosus STAT1 75.28 53.03
Parkinson's disease Olfactory receptor 75.16 51.35
Sarcoidosis c-Myc 74.06 56.15
Diabetes type 1 EGR2 (Krox20) 72.89 52.58
Hepatitis C c-Myc 72.15 51.46
Ulcerative colitis c-Jun 71.74 52.14
Multiple sclerosis P53 71.51 50.94
Crohns disease VPS52 68.44 52.19
Liver cirrhosis STAT1 67.47 54.85
Ischemic stroke CLEC2D 63.27 51.18

For each disease, the name of the predicted drug target obtained from MetaBase and the AUC performance together with the respective baseline AUC performance (based on permutation testing) is shown.