Research Article
Targets and Candidate Agents for Type 2 Diabetes Treatment with Computational Bioinformatics Approach
Table 4
Top 20 significant small molecules.
| CMap name | Enrichment | |
| 8-Azaguanine | 0.932 | 0.00004 | Apigenin | 0.86 | 0.00052 | Chrysin | 0.931 | 0.00056 | Sulfametoxydiazine | 0.855 | 0.00056 | Lycorine | 0.803 | 0.00068 | Digoxin | 0.846 | 0.0008 | Prochlorperazine | 0.467 | 0.00086 | Sanguinarine | 0.977 | 0.00087 | Helveticoside | 0.733 | 0.00097 | Felbinac | −0.847 | 0.00101 | Adiphenine | −0.771 | 0.00118 | Diloxanide | −0.83 | 0.00157 | Etiocholanolone | −0.704 | 0.00157 | Heptaminol | −0.753 | 0.0017 | Acetylsalicylic acid | 0.499 | 0.00174 | Proscillaridin | 0.903 | 0.00182 | Cinchonine | −0.82 | 0.00197 | 0316684-0000 | −0.813 | 0.00229 | Proadifen | 0.806 | 0.00265 | DL-Thiorphan | 0.956 | 0.00342 |
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