Target Gene/Pathway💬 Info on mouse-over
No. | KEGG PATHWAY On map, Yellow: Drug target, Red: All disease-related |
KEGG GENES | KEGG DRUG | DrugBank | Disease ID |
1 | Adrenergic signaling in cardiomyocytes 💬 26 genes, 77 drugs (DrugBank) and 68 diseases |
AGTR1 [1] AGTR1 💬 |
D00400 D00400 💬 |
Valsartan | 057 [7] 57, 58, 66, 75, 218, 222, 224 💬 |
2 | Adrenergic signaling in cardiomyocytes 💬 26 genes, 77 drugs (DrugBank) and 68 diseases |
AGTR1 [2] AGTR1, AGTR2 💬 |
D00150 D00150 💬 |
Angiotensin II | 017 [7] 17, 19, 46, 66, 86, 222, 224 💬 |
3 | Adrenergic signaling in cardiomyocytes 💬 26 genes, 77 drugs (DrugBank) and 68 diseases |
AGTR1 [2] AGTR1, AGTR2 💬 |
D02014 D02014 💬 |
Angiotensin II | 017 [7] 17, 19, 46, 66, 86, 222, 224 💬 |
4 | AGE-RAGE signaling pathway in diabetic complications 💬 23 genes, 40 drugs (DrugBank) and 84 diseases |
AGTR1 [1] AGTR1 💬 |
D00150 D00150 💬 |
Angiotensin II | 017 [7] 17, 19, 46, 66, 86, 222, 224 💬 |
5 | AGE-RAGE signaling pathway in diabetic complications 💬 23 genes, 40 drugs (DrugBank) and 84 diseases |
AGTR1 [1] AGTR1 💬 |
D02014 D02014 💬 |
Angiotensin II | 017 [7] 17, 19, 46, 66, 86, 222, 224 💬 |
6 | AGE-RAGE signaling pathway in diabetic complications 💬 23 genes, 40 drugs (DrugBank) and 84 diseases |
AGTR1 [1] AGTR1 💬 |
D00400 D00400 💬 |
Valsartan | 057 [7] 57, 58, 66, 75, 218, 222, 224 💬 |
7 | Aldosterone synthesis and secretion 💬 18 genes, 34 drugs (DrugBank) and 64 diseases |
AGTR1 [1] AGTR1 💬 |
D00150 D00150 💬 |
Angiotensin II | 017 [7] 17, 19, 46, 66, 86, 222, 224 💬 |
8 | Aldosterone synthesis and secretion 💬 18 genes, 34 drugs (DrugBank) and 64 diseases |
AGTR1 [1] AGTR1 💬 |
D02014 D02014 💬 |
Angiotensin II | 017 [7] 17, 19, 46, 66, 86, 222, 224 💬 |
9 | Aldosterone synthesis and secretion 💬 18 genes, 34 drugs (DrugBank) and 64 diseases |
AGTR1 [1] AGTR1 💬 |
D00400 D00400 💬 |
Valsartan | 057 [7] 57, 58, 66, 75, 218, 222, 224 💬 |
10 | Alzheimer disease 💬 54 genes, 110 drugs (DrugBank) and 116 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D00107 D00107 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
11 | Alzheimer disease 💬 54 genes, 110 drugs (DrugBank) and 116 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D08556 D08556 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
12 | Amphetamine addiction 💬 24 genes, 48 drugs (DrugBank) and 87 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D00107 D00107 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
13 | Amphetamine addiction 💬 24 genes, 48 drugs (DrugBank) and 87 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D08556 D08556 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
14 | Amyotrophic lateral sclerosis 💬 33 genes, 44 drugs (DrugBank) and 102 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D00107 D00107 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
15 | Amyotrophic lateral sclerosis 💬 33 genes, 44 drugs (DrugBank) and 102 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D08556 D08556 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
16 | Apelin signaling pathway 💬 12 genes, 26 drugs (DrugBank) and 66 diseases |
AGTR1 [1] AGTR1 💬 |
D00150 D00150 💬 |
Angiotensin II | 017 [7] 17, 19, 46, 66, 86, 222, 224 💬 |
17 | Apelin signaling pathway 💬 12 genes, 26 drugs (DrugBank) and 66 diseases |
AGTR1 [1] AGTR1 💬 |
D02014 D02014 💬 |
Angiotensin II | 017 [7] 17, 19, 46, 66, 86, 222, 224 💬 |
18 | Apelin signaling pathway 💬 12 genes, 26 drugs (DrugBank) and 66 diseases |
AGTR1 [1] AGTR1 💬 |
D00400 D00400 💬 |
Valsartan | 057 [7] 57, 58, 66, 75, 218, 222, 224 💬 |
19 | Axon guidance 💬 21 genes, 19 drugs (DrugBank) and 65 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D00107 D00107 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
20 | Axon guidance 💬 21 genes, 19 drugs (DrugBank) and 65 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D08556 D08556 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
21 | B cell receptor signaling pathway 💬 16 genes, 19 drugs (DrugBank) and 63 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D00107 D00107 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
22 | B cell receptor signaling pathway 💬 16 genes, 19 drugs (DrugBank) and 63 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D08556 D08556 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
23 | Biosynthesis of cofactors 💬 10 genes, 10 drugs (DrugBank) and 45 diseases |
DHODH [1] DHODH 💬 |
D00749 D00749 💬 |
Leflunomide | 011 [10] 11, 40, 46, 49, 53, 66, 162, 224, 271, 300 💬 |
24 | C-type lectin receptor signaling pathway 💬 25 genes, 60 drugs (DrugBank) and 93 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D00107 D00107 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
25 | C-type lectin receptor signaling pathway 💬 25 genes, 60 drugs (DrugBank) and 93 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D08556 D08556 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
26 | Calcium signaling pathway 💬 74 genes, 175 drugs (DrugBank) and 126 diseases |
AGTR1 [1] AGTR1 💬 |
D00150 D00150 💬 |
Angiotensin II | 017 [7] 17, 19, 46, 66, 86, 222, 224 💬 |
27 | Calcium signaling pathway 💬 74 genes, 175 drugs (DrugBank) and 126 diseases |
AGTR1 [1] AGTR1 💬 |
D02014 D02014 💬 |
Angiotensin II | 017 [7] 17, 19, 46, 66, 86, 222, 224 💬 |
28 | Calcium signaling pathway 💬 74 genes, 175 drugs (DrugBank) and 126 diseases |
AGTR1 [1] AGTR1 💬 |
D00400 D00400 💬 |
Valsartan | 057 [7] 57, 58, 66, 75, 218, 222, 224 💬 |
29 | Calcium signaling pathway 💬 74 genes, 175 drugs (DrugBank) and 126 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D00107 D00107 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
30 | Calcium signaling pathway 💬 74 genes, 175 drugs (DrugBank) and 126 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D08556 D08556 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
31 | cAMP signaling pathway 💬 63 genes, 157 drugs (DrugBank) and 108 diseases |
PDE4A [1] PDE4A 💬 |
D00302 D00302 💬 |
Dipyridamole | 046 [5] 46, 49, 51, 66, 224 💬 |
32 | Cellular senescence 💬 29 genes, 35 drugs (DrugBank) and 90 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D00107 D00107 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
33 | Cellular senescence 💬 29 genes, 35 drugs (DrugBank) and 90 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D08556 D08556 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
34 | cGMP-PKG signaling pathway 💬 45 genes, 108 drugs (DrugBank) and 112 diseases |
AGTR1 [1] AGTR1 💬 |
D00150 D00150 💬 |
Angiotensin II | 017 [7] 17, 19, 46, 66, 86, 222, 224 💬 |
35 | cGMP-PKG signaling pathway 💬 45 genes, 108 drugs (DrugBank) and 112 diseases |
AGTR1 [1] AGTR1 💬 |
D02014 D02014 💬 |
Angiotensin II | 017 [7] 17, 19, 46, 66, 86, 222, 224 💬 |
36 | cGMP-PKG signaling pathway 💬 45 genes, 108 drugs (DrugBank) and 112 diseases |
AGTR1 [1] AGTR1 💬 |
D00400 D00400 💬 |
Valsartan | 057 [7] 57, 58, 66, 75, 218, 222, 224 💬 |
37 | cGMP-PKG signaling pathway 💬 45 genes, 108 drugs (DrugBank) and 112 diseases |
PDE5A [1] PDE5A 💬 |
D00302 D00302 💬 |
Dipyridamole | 046 [5] 46, 49, 51, 66, 224 💬 |
38 | cGMP-PKG signaling pathway 💬 45 genes, 108 drugs (DrugBank) and 112 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D00107 D00107 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
39 | cGMP-PKG signaling pathway 💬 45 genes, 108 drugs (DrugBank) and 112 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D08556 D08556 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
40 | Chagas disease 💬 25 genes, 39 drugs (DrugBank) and 76 diseases |
ACE [1] ACE 💬 |
D00620 D00620 💬 |
Benazepril | 049 [4] 49, 57, 218, 224 💬 |
41 | Chagas disease 💬 25 genes, 39 drugs (DrugBank) and 76 diseases |
ACE [1] ACE 💬 |
D07499 D07499 💬 |
Benazepril | 049 [4] 49, 57, 218, 224 💬 |
42 | Complement and coagulation cascades 💬 15 genes, 24 drugs (DrugBank) and 42 diseases |
SERPINC1 [1] SERPINC1 💬 |
D07510 D07510 💬 |
Heparin | 060 [11] 60, 70, 79, 84, 107, 224, 226, 280, 299, 316, 317 💬 |
43 | Coronavirus disease - COVID-19 💬 47 genes, 82 drugs (DrugBank) and 93 diseases |
ACE [1] ACE 💬 |
D00620 D00620 💬 |
Benazepril | 049 [4] 49, 57, 218, 224 💬 |
44 | Coronavirus disease - COVID-19 💬 47 genes, 82 drugs (DrugBank) and 93 diseases |
ACE [1] ACE 💬 |
D07499 D07499 💬 |
Benazepril | 049 [4] 49, 57, 218, 224 💬 |
45 | Coronavirus disease - COVID-19 💬 47 genes, 82 drugs (DrugBank) and 93 diseases |
AGTR1 [1] AGTR1 💬 |
D00150 D00150 💬 |
Angiotensin II | 017 [7] 17, 19, 46, 66, 86, 222, 224 💬 |
46 | Coronavirus disease - COVID-19 💬 47 genes, 82 drugs (DrugBank) and 93 diseases |
AGTR1 [1] AGTR1 💬 |
D02014 D02014 💬 |
Angiotensin II | 017 [7] 17, 19, 46, 66, 86, 222, 224 💬 |
47 | Coronavirus disease - COVID-19 💬 47 genes, 82 drugs (DrugBank) and 93 diseases |
AGTR1 [1] AGTR1 💬 |
D00400 D00400 💬 |
Valsartan | 057 [7] 57, 58, 66, 75, 218, 222, 224 💬 |
48 | Cortisol synthesis and secretion 💬 14 genes, 30 drugs (DrugBank) and 62 diseases |
AGTR1 [1] AGTR1 💬 |
D00150 D00150 💬 |
Angiotensin II | 017 [7] 17, 19, 46, 66, 86, 222, 224 💬 |
49 | Cortisol synthesis and secretion 💬 14 genes, 30 drugs (DrugBank) and 62 diseases |
AGTR1 [1] AGTR1 💬 |
D02014 D02014 💬 |
Angiotensin II | 017 [7] 17, 19, 46, 66, 86, 222, 224 💬 |
50 | Cortisol synthesis and secretion 💬 14 genes, 30 drugs (DrugBank) and 62 diseases |
AGTR1 [1] AGTR1 💬 |
D00400 D00400 💬 |
Valsartan | 057 [7] 57, 58, 66, 75, 218, 222, 224 💬 |
51 | Cushing syndrome 💬 21 genes, 43 drugs (DrugBank) and 66 diseases |
AGTR1 [1] AGTR1 💬 |
D00150 D00150 💬 |
Angiotensin II | 017 [7] 17, 19, 46, 66, 86, 222, 224 💬 |
52 | Cushing syndrome 💬 21 genes, 43 drugs (DrugBank) and 66 diseases |
AGTR1 [1] AGTR1 💬 |
D02014 D02014 💬 |
Angiotensin II | 017 [7] 17, 19, 46, 66, 86, 222, 224 💬 |
53 | Cushing syndrome 💬 21 genes, 43 drugs (DrugBank) and 66 diseases |
AGTR1 [1] AGTR1 💬 |
D00400 D00400 💬 |
Valsartan | 057 [7] 57, 58, 66, 75, 218, 222, 224 💬 |
54 | Diabetic cardiomyopathy 💬 21 genes, 38 drugs (DrugBank) and 72 diseases |
ACE [1] ACE 💬 |
D00620 D00620 💬 |
Benazepril | 049 [4] 49, 57, 218, 224 💬 |
55 | Diabetic cardiomyopathy 💬 21 genes, 38 drugs (DrugBank) and 72 diseases |
ACE [1] ACE 💬 |
D07499 D07499 💬 |
Benazepril | 049 [4] 49, 57, 218, 224 💬 |
56 | Diabetic cardiomyopathy 💬 21 genes, 38 drugs (DrugBank) and 72 diseases |
AGTR1 [1] AGTR1 💬 |
D00150 D00150 💬 |
Angiotensin II | 017 [7] 17, 19, 46, 66, 86, 222, 224 💬 |
57 | Diabetic cardiomyopathy 💬 21 genes, 38 drugs (DrugBank) and 72 diseases |
AGTR1 [1] AGTR1 💬 |
D02014 D02014 💬 |
Angiotensin II | 017 [7] 17, 19, 46, 66, 86, 222, 224 💬 |
58 | Diabetic cardiomyopathy 💬 21 genes, 38 drugs (DrugBank) and 72 diseases |
AGTR1 [1] AGTR1 💬 |
D00400 D00400 💬 |
Valsartan | 057 [7] 57, 58, 66, 75, 218, 222, 224 💬 |
59 | Dopaminergic synapse 💬 30 genes, 93 drugs (DrugBank) and 97 diseases |
PPP3CA [3] PPP3CA, PPP3CB, PPP3CC 💬 |
D00107 D00107 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
60 | Dopaminergic synapse 💬 30 genes, 93 drugs (DrugBank) and 97 diseases |
PPP3CA [3] PPP3CA, PPP3CB, PPP3CC 💬 |
D08556 D08556 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
61 | Drug metabolism - other enzymes 💬 8 genes, 13 drugs (DrugBank) and 46 diseases |
IMPDH1 [2] IMPDH1, IMPDH2 💬 |
D01392 D01392 💬 |
Mizoribine | 046 [8] 46, 49, 51, 53, 66, 94, 222, 224 💬 |
62 | Drug metabolism - other enzymes 💬 8 genes, 13 drugs (DrugBank) and 46 diseases |
IMPDH1 [2] IMPDH1, IMPDH2 💬 |
D00752 D00752 💬 |
Mycophenolate mofetil | 002 [32] 2 , 11, 13, 19, 20, 28, 35, 36, 42, 43, 45, 49, 51, 53, 60, 62, 65, 66, 85, 93, 95, 96, 162, 164, 222, 224, 226, 234, 283, 284, 285, 300 💬 |
63 | Drug metabolism - other enzymes 💬 8 genes, 13 drugs (DrugBank) and 46 diseases |
IMPDH1 [2] IMPDH1, IMPDH2 💬 |
D05094 D05094 💬 |
Mycophenolate mofetil | 002 [32] 2 , 11, 13, 19, 20, 28, 35, 36, 42, 43, 45, 49, 51, 53, 60, 62, 65, 66, 85, 93, 95, 96, 162, 164, 222, 224, 226, 234, 283, 284, 285, 300 💬 |
64 | Drug metabolism - other enzymes 💬 8 genes, 13 drugs (DrugBank) and 46 diseases |
IMPDH1 [2] IMPDH1, IMPDH2 💬 |
D05095 D05095 💬 |
Mycophenolate mofetil | 002 [32] 2 , 11, 13, 19, 20, 28, 35, 36, 42, 43, 45, 49, 51, 53, 60, 62, 65, 66, 85, 93, 95, 96, 162, 164, 222, 224, 226, 234, 283, 284, 285, 300 💬 |
65 | Drug metabolism - other enzymes 💬 8 genes, 13 drugs (DrugBank) and 46 diseases |
IMPDH1 [2] IMPDH1, IMPDH2 💬 |
D05096 D05096 💬 |
Mycophenolic acid | 002 [34] 2 , 11, 13, 19, 20, 28, 35, 36, 42, 43, 45, 49, 51, 53, 60, 62, 65, 66, 84, 85, 93, 95, 96, 162, 164, 222, 224, 226, 228, 234, 283, 284, 285, 300 💬 |
66 | Glucagon signaling pathway 💬 13 genes, 18 drugs (DrugBank) and 78 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D00107 D00107 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
67 | Glucagon signaling pathway 💬 13 genes, 18 drugs (DrugBank) and 78 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D08556 D08556 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
68 | Glutamatergic synapse 💬 22 genes, 26 drugs (DrugBank) and 79 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D00107 D00107 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
69 | Glutamatergic synapse 💬 22 genes, 26 drugs (DrugBank) and 79 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D08556 D08556 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
70 | Human cytomegalovirus infection 💬 58 genes, 94 drugs (DrugBank) and 113 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D00107 D00107 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
71 | Human cytomegalovirus infection 💬 58 genes, 94 drugs (DrugBank) and 113 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D08556 D08556 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
72 | Human immunodeficiency virus 1 infection 💬 44 genes, 38 drugs (DrugBank) and 85 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D00107 D00107 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
73 | Human immunodeficiency virus 1 infection 💬 44 genes, 38 drugs (DrugBank) and 85 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D08556 D08556 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
74 | Human T-cell leukemia virus 1 infection 💬 52 genes, 50 drugs (DrugBank) and 80 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D00107 D00107 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
75 | Human T-cell leukemia virus 1 infection 💬 52 genes, 50 drugs (DrugBank) and 80 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D08556 D08556 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
76 | Hypertrophic cardiomyopathy 💬 19 genes, 49 drugs (DrugBank) and 88 diseases |
ACE [1] ACE 💬 |
D00620 D00620 💬 |
Benazepril | 049 [4] 49, 57, 218, 224 💬 |
77 | Hypertrophic cardiomyopathy 💬 19 genes, 49 drugs (DrugBank) and 88 diseases |
ACE [1] ACE 💬 |
D07499 D07499 💬 |
Benazepril | 049 [4] 49, 57, 218, 224 💬 |
78 | Kaposi sarcoma-associated herpesvirus infection 💬 52 genes, 75 drugs (DrugBank) and 105 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D00107 D00107 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
79 | Kaposi sarcoma-associated herpesvirus infection 💬 52 genes, 75 drugs (DrugBank) and 105 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D08556 D08556 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
80 | Long-term potentiation 💬 17 genes, 30 drugs (DrugBank) and 82 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D00107 D00107 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
81 | Long-term potentiation 💬 17 genes, 30 drugs (DrugBank) and 82 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D08556 D08556 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
82 | MAPK signaling pathway 💬 57 genes, 76 drugs (DrugBank) and 106 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D00107 D00107 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
83 | MAPK signaling pathway 💬 57 genes, 76 drugs (DrugBank) and 106 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D08556 D08556 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
84 | Metabolic pathways 💬 104 genes, 142 drugs (DrugBank) and 128 diseases |
DHODH [1] DHODH 💬 |
D00749 D00749 💬 |
Leflunomide | 011 [10] 11, 40, 46, 49, 53, 66, 162, 224, 271, 300 💬 |
85 | Metabolic pathways 💬 104 genes, 142 drugs (DrugBank) and 128 diseases |
IMPDH1 [2] IMPDH1, IMPDH2 💬 |
D01392 D01392 💬 |
Mizoribine | 046 [8] 46, 49, 51, 53, 66, 94, 222, 224 💬 |
86 | Metabolic pathways 💬 104 genes, 142 drugs (DrugBank) and 128 diseases |
IMPDH1 [2] IMPDH1, IMPDH2 💬 |
D00752 D00752 💬 |
Mycophenolate mofetil | 002 [32] 2 , 11, 13, 19, 20, 28, 35, 36, 42, 43, 45, 49, 51, 53, 60, 62, 65, 66, 85, 93, 95, 96, 162, 164, 222, 224, 226, 234, 283, 284, 285, 300 💬 |
87 | Metabolic pathways 💬 104 genes, 142 drugs (DrugBank) and 128 diseases |
IMPDH1 [2] IMPDH1, IMPDH2 💬 |
D05094 D05094 💬 |
Mycophenolate mofetil | 002 [32] 2 , 11, 13, 19, 20, 28, 35, 36, 42, 43, 45, 49, 51, 53, 60, 62, 65, 66, 85, 93, 95, 96, 162, 164, 222, 224, 226, 234, 283, 284, 285, 300 💬 |
88 | Metabolic pathways 💬 104 genes, 142 drugs (DrugBank) and 128 diseases |
IMPDH1 [2] IMPDH1, IMPDH2 💬 |
D05095 D05095 💬 |
Mycophenolate mofetil | 002 [32] 2 , 11, 13, 19, 20, 28, 35, 36, 42, 43, 45, 49, 51, 53, 60, 62, 65, 66, 85, 93, 95, 96, 162, 164, 222, 224, 226, 234, 283, 284, 285, 300 💬 |
89 | Metabolic pathways 💬 104 genes, 142 drugs (DrugBank) and 128 diseases |
IMPDH1 [2] IMPDH1, IMPDH2 💬 |
D05096 D05096 💬 |
Mycophenolic acid | 002 [34] 2 , 11, 13, 19, 20, 28, 35, 36, 42, 43, 45, 49, 51, 53, 60, 62, 65, 66, 84, 85, 93, 95, 96, 162, 164, 222, 224, 226, 228, 234, 283, 284, 285, 300 💬 |
90 | Metabolic pathways 💬 104 genes, 142 drugs (DrugBank) and 128 diseases |
PDE4A [2] PDE4A, PDE5A 💬 |
D00302 D00302 💬 |
Dipyridamole | 046 [5] 46, 49, 51, 66, 224 💬 |
91 | Morphine addiction 💬 40 genes, 59 drugs (DrugBank) and 71 diseases |
PDE4A [1] PDE4A 💬 |
D00302 D00302 💬 |
Dipyridamole | 046 [5] 46, 49, 51, 66, 224 💬 |
92 | Natural killer cell mediated cytotoxicity 💬 41 genes, 39 drugs (DrugBank) and 77 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D00107 D00107 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
93 | Natural killer cell mediated cytotoxicity 💬 41 genes, 39 drugs (DrugBank) and 77 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D08556 D08556 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
94 | Neuroactive ligand-receptor interaction 💬 146 genes, 309 drugs (DrugBank) and 144 diseases |
AGTR1 [1] AGTR1 💬 |
D00400 D00400 💬 |
Valsartan | 057 [7] 57, 58, 66, 75, 218, 222, 224 💬 |
95 | Neuroactive ligand-receptor interaction 💬 146 genes, 309 drugs (DrugBank) and 144 diseases |
AGTR1 [2] AGTR1, AGTR2 💬 |
D00150 D00150 💬 |
Angiotensin II | 017 [7] 17, 19, 46, 66, 86, 222, 224 💬 |
96 | Neuroactive ligand-receptor interaction 💬 146 genes, 309 drugs (DrugBank) and 144 diseases |
AGTR1 [2] AGTR1, AGTR2 💬 |
D02014 D02014 💬 |
Angiotensin II | 017 [7] 17, 19, 46, 66, 86, 222, 224 💬 |
97 | Neuroactive ligand-receptor interaction 💬 146 genes, 309 drugs (DrugBank) and 144 diseases |
NR3C1 [1] NR3C1 💬 |
D00407 D00407 💬 |
Methylprednisolone | 002 [44] 2 , 6 , 11, 13, 14, 18, 19, 25, 26, 35, 38, 39, 40, 41, 42, 43, 45, 46, 49, 50, 51, 60, 63, 64, 65, 66, 83, 84, 86, 96, 97, 127, 145, 162, 164, 211, 220, 222, 224, 271, 283, 284, 285, 296 💬 |
98 | Neuroactive ligand-receptor interaction 💬 146 genes, 309 drugs (DrugBank) and 144 diseases |
NR3C1 [1] NR3C1 💬 |
D00751 D00751 💬 |
Methylprednisolone | 002 [44] 2 , 6 , 11, 13, 14, 18, 19, 25, 26, 35, 38, 39, 40, 41, 42, 43, 45, 46, 49, 50, 51, 60, 63, 64, 65, 66, 83, 84, 86, 96, 97, 127, 145, 162, 164, 211, 220, 222, 224, 271, 283, 284, 285, 296 💬 |
99 | Neuroactive ligand-receptor interaction 💬 146 genes, 309 drugs (DrugBank) and 144 diseases |
NR3C1 [1] NR3C1 💬 |
D00979 D00979 💬 |
Methylprednisolone | 002 [44] 2 , 6 , 11, 13, 14, 18, 19, 25, 26, 35, 38, 39, 40, 41, 42, 43, 45, 46, 49, 50, 51, 60, 63, 64, 65, 66, 83, 84, 86, 96, 97, 127, 145, 162, 164, 211, 220, 222, 224, 271, 283, 284, 285, 296 💬 |
100 | Neuroactive ligand-receptor interaction 💬 146 genes, 309 drugs (DrugBank) and 144 diseases |
NR3C1 [1] NR3C1 💬 |
D05000 D05000 💬 |
Methylprednisolone | 002 [44] 2 , 6 , 11, 13, 14, 18, 19, 25, 26, 35, 38, 39, 40, 41, 42, 43, 45, 46, 49, 50, 51, 60, 63, 64, 65, 66, 83, 84, 86, 96, 97, 127, 145, 162, 164, 211, 220, 222, 224, 271, 283, 284, 285, 296 💬 |
101 | Neuroactive ligand-receptor interaction 💬 146 genes, 309 drugs (DrugBank) and 144 diseases |
NR3C1 [1] NR3C1 💬 |
D05001 D05001 💬 |
Methylprednisolone | 002 [44] 2 , 6 , 11, 13, 14, 18, 19, 25, 26, 35, 38, 39, 40, 41, 42, 43, 45, 46, 49, 50, 51, 60, 63, 64, 65, 66, 83, 84, 86, 96, 97, 127, 145, 162, 164, 211, 220, 222, 224, 271, 283, 284, 285, 296 💬 |
102 | Neuroactive ligand-receptor interaction 💬 146 genes, 309 drugs (DrugBank) and 144 diseases |
NR3C1 [1] NR3C1 💬 |
D05002 D05002 💬 |
Methylprednisolone | 002 [44] 2 , 6 , 11, 13, 14, 18, 19, 25, 26, 35, 38, 39, 40, 41, 42, 43, 45, 46, 49, 50, 51, 60, 63, 64, 65, 66, 83, 84, 86, 96, 97, 127, 145, 162, 164, 211, 220, 222, 224, 271, 283, 284, 285, 296 💬 |
103 | Neuroactive ligand-receptor interaction 💬 146 genes, 309 drugs (DrugBank) and 144 diseases |
NR3C1 [1] NR3C1 💬 |
D00473 D00473 💬 |
Prednisone | 002 [47] 2 , 6 , 11, 13, 14, 19, 26, 35, 40, 41, 42, 43, 44, 45, 46, 49, 50, 51, 53, 61, 63, 64, 65, 66, 81, 84, 85, 86, 93, 95, 96, 97, 113, 127, 162, 164, 222, 224, 228, 251, 283, 284, 285, 288, 299, 300, 331 💬 |
104 | Neuroactive ligand-receptor interaction 💬 146 genes, 309 drugs (DrugBank) and 144 diseases |
NR3C1 [1] NR3C1 💬 |
D08416 D08416 💬 |
Prednisone acetate | 035 [6] 35, 40, 41, 49, 162, 224 💬 |
105 | Oocyte meiosis 💬 14 genes, 38 drugs (DrugBank) and 75 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D00107 D00107 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
106 | Oocyte meiosis 💬 14 genes, 38 drugs (DrugBank) and 75 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D08556 D08556 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
107 | Osteoclast differentiation 💬 34 genes, 58 drugs (DrugBank) and 89 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D00107 D00107 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
108 | Osteoclast differentiation 💬 34 genes, 58 drugs (DrugBank) and 89 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D08556 D08556 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
109 | Oxytocin signaling pathway 💬 33 genes, 65 drugs (DrugBank) and 99 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D00107 D00107 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
110 | Oxytocin signaling pathway 💬 33 genes, 65 drugs (DrugBank) and 99 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D08556 D08556 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
111 | Parathyroid hormone synthesis, secretion and action 💬 19 genes, 40 drugs (DrugBank) and 58 diseases |
PDE4A [1] PDE4A 💬 |
D00302 D00302 💬 |
Dipyridamole | 046 [5] 46, 49, 51, 66, 224 💬 |
112 | Pathways in cancer 💬 97 genes, 177 drugs (DrugBank) and 130 diseases |
AGTR1 [1] AGTR1 💬 |
D00150 D00150 💬 |
Angiotensin II | 017 [7] 17, 19, 46, 66, 86, 222, 224 💬 |
113 | Pathways in cancer 💬 97 genes, 177 drugs (DrugBank) and 130 diseases |
AGTR1 [1] AGTR1 💬 |
D02014 D02014 💬 |
Angiotensin II | 017 [7] 17, 19, 46, 66, 86, 222, 224 💬 |
114 | Pathways in cancer 💬 97 genes, 177 drugs (DrugBank) and 130 diseases |
AGTR1 [1] AGTR1 💬 |
D00400 D00400 💬 |
Valsartan | 057 [7] 57, 58, 66, 75, 218, 222, 224 💬 |
115 | Pathways of neurodegeneration - multiple diseases 💬 56 genes, 111 drugs (DrugBank) and 117 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D00107 D00107 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
116 | Pathways of neurodegeneration - multiple diseases 💬 56 genes, 111 drugs (DrugBank) and 117 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D08556 D08556 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
117 | PD-L1 expression and PD-1 checkpoint pathway in cancer 💬 31 genes, 42 drugs (DrugBank) and 89 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D00107 D00107 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
118 | PD-L1 expression and PD-1 checkpoint pathway in cancer 💬 31 genes, 42 drugs (DrugBank) and 89 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D08556 D08556 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
119 | Phospholipase D signaling pathway 💬 23 genes, 45 drugs (DrugBank) and 75 diseases |
AGTR1 [1] AGTR1 💬 |
D00150 D00150 💬 |
Angiotensin II | 017 [7] 17, 19, 46, 66, 86, 222, 224 💬 |
120 | Phospholipase D signaling pathway 💬 23 genes, 45 drugs (DrugBank) and 75 diseases |
AGTR1 [1] AGTR1 💬 |
D02014 D02014 💬 |
Angiotensin II | 017 [7] 17, 19, 46, 66, 86, 222, 224 💬 |
121 | Phospholipase D signaling pathway 💬 23 genes, 45 drugs (DrugBank) and 75 diseases |
AGTR1 [1] AGTR1 💬 |
D00400 D00400 💬 |
Valsartan | 057 [7] 57, 58, 66, 75, 218, 222, 224 💬 |
122 | Prion disease 💬 40 genes, 59 drugs (DrugBank) and 103 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D00107 D00107 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
123 | Prion disease 💬 40 genes, 59 drugs (DrugBank) and 103 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D08556 D08556 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
124 | Purine metabolism 💬 30 genes, 31 drugs (DrugBank) and 68 diseases |
IMPDH1 [2] IMPDH1, IMPDH2 💬 |
D01392 D01392 💬 |
Mizoribine | 046 [8] 46, 49, 51, 53, 66, 94, 222, 224 💬 |
125 | Purine metabolism 💬 30 genes, 31 drugs (DrugBank) and 68 diseases |
IMPDH1 [2] IMPDH1, IMPDH2 💬 |
D00752 D00752 💬 |
Mycophenolate mofetil | 002 [32] 2 , 11, 13, 19, 20, 28, 35, 36, 42, 43, 45, 49, 51, 53, 60, 62, 65, 66, 85, 93, 95, 96, 162, 164, 222, 224, 226, 234, 283, 284, 285, 300 💬 |
126 | Purine metabolism 💬 30 genes, 31 drugs (DrugBank) and 68 diseases |
IMPDH1 [2] IMPDH1, IMPDH2 💬 |
D05094 D05094 💬 |
Mycophenolate mofetil | 002 [32] 2 , 11, 13, 19, 20, 28, 35, 36, 42, 43, 45, 49, 51, 53, 60, 62, 65, 66, 85, 93, 95, 96, 162, 164, 222, 224, 226, 234, 283, 284, 285, 300 💬 |
127 | Purine metabolism 💬 30 genes, 31 drugs (DrugBank) and 68 diseases |
IMPDH1 [2] IMPDH1, IMPDH2 💬 |
D05095 D05095 💬 |
Mycophenolate mofetil | 002 [32] 2 , 11, 13, 19, 20, 28, 35, 36, 42, 43, 45, 49, 51, 53, 60, 62, 65, 66, 85, 93, 95, 96, 162, 164, 222, 224, 226, 234, 283, 284, 285, 300 💬 |
128 | Purine metabolism 💬 30 genes, 31 drugs (DrugBank) and 68 diseases |
IMPDH1 [2] IMPDH1, IMPDH2 💬 |
D05096 D05096 💬 |
Mycophenolic acid | 002 [34] 2 , 11, 13, 19, 20, 28, 35, 36, 42, 43, 45, 49, 51, 53, 60, 62, 65, 66, 84, 85, 93, 95, 96, 162, 164, 222, 224, 226, 228, 234, 283, 284, 285, 300 💬 |
129 | Purine metabolism 💬 30 genes, 31 drugs (DrugBank) and 68 diseases |
PDE4A [2] PDE4A, PDE5A 💬 |
D00302 D00302 💬 |
Dipyridamole | 046 [5] 46, 49, 51, 66, 224 💬 |
130 | Pyrimidine metabolism 💬 4 genes, 8 drugs (DrugBank) and 32 diseases |
DHODH [1] DHODH 💬 |
D00749 D00749 💬 |
Leflunomide | 011 [10] 11, 40, 46, 49, 53, 66, 162, 224, 271, 300 💬 |
131 | Renin secretion 💬 28 genes, 77 drugs (DrugBank) and 105 diseases |
ACE [1] ACE 💬 |
D00620 D00620 💬 |
Benazepril | 049 [4] 49, 57, 218, 224 💬 |
132 | Renin secretion 💬 28 genes, 77 drugs (DrugBank) and 105 diseases |
ACE [1] ACE 💬 |
D07499 D07499 💬 |
Benazepril | 049 [4] 49, 57, 218, 224 💬 |
133 | Renin secretion 💬 28 genes, 77 drugs (DrugBank) and 105 diseases |
AGTR1 [1] AGTR1 💬 |
D00150 D00150 💬 |
Angiotensin II | 017 [7] 17, 19, 46, 66, 86, 222, 224 💬 |
134 | Renin secretion 💬 28 genes, 77 drugs (DrugBank) and 105 diseases |
AGTR1 [1] AGTR1 💬 |
D02014 D02014 💬 |
Angiotensin II | 017 [7] 17, 19, 46, 66, 86, 222, 224 💬 |
135 | Renin secretion 💬 28 genes, 77 drugs (DrugBank) and 105 diseases |
AGTR1 [1] AGTR1 💬 |
D00400 D00400 💬 |
Valsartan | 057 [7] 57, 58, 66, 75, 218, 222, 224 💬 |
136 | Renin secretion 💬 28 genes, 77 drugs (DrugBank) and 105 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D00107 D00107 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
137 | Renin secretion 💬 28 genes, 77 drugs (DrugBank) and 105 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D08556 D08556 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
138 | Renin-angiotensin system 💬 6 genes, 21 drugs (DrugBank) and 32 diseases |
ACE [1] ACE 💬 |
D00620 D00620 💬 |
Benazepril | 049 [4] 49, 57, 218, 224 💬 |
139 | Renin-angiotensin system 💬 6 genes, 21 drugs (DrugBank) and 32 diseases |
ACE [1] ACE 💬 |
D07499 D07499 💬 |
Benazepril | 049 [4] 49, 57, 218, 224 💬 |
140 | Renin-angiotensin system 💬 6 genes, 21 drugs (DrugBank) and 32 diseases |
AGTR1 [1] AGTR1 💬 |
D00400 D00400 💬 |
Valsartan | 057 [7] 57, 58, 66, 75, 218, 222, 224 💬 |
141 | Renin-angiotensin system 💬 6 genes, 21 drugs (DrugBank) and 32 diseases |
AGTR1 [2] AGTR1, AGTR2 💬 |
D00150 D00150 💬 |
Angiotensin II | 017 [7] 17, 19, 46, 66, 86, 222, 224 💬 |
142 | Renin-angiotensin system 💬 6 genes, 21 drugs (DrugBank) and 32 diseases |
AGTR1 [2] AGTR1, AGTR2 💬 |
D02014 D02014 💬 |
Angiotensin II | 017 [7] 17, 19, 46, 66, 86, 222, 224 💬 |
143 | T cell receptor signaling pathway 💬 30 genes, 39 drugs (DrugBank) and 77 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D00107 D00107 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
144 | T cell receptor signaling pathway 💬 30 genes, 39 drugs (DrugBank) and 77 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D08556 D08556 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
145 | Th1 and Th2 cell differentiation 💬 44 genes, 33 drugs (DrugBank) and 69 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D00107 D00107 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
146 | Th1 and Th2 cell differentiation 💬 44 genes, 33 drugs (DrugBank) and 69 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D08556 D08556 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
147 | Th17 cell differentiation 💬 53 genes, 60 drugs (DrugBank) and 96 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D00107 D00107 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
148 | Th17 cell differentiation 💬 53 genes, 60 drugs (DrugBank) and 96 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D08556 D08556 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
149 | Tuberculosis 💬 60 genes, 61 drugs (DrugBank) and 89 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D00107 D00107 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
150 | Tuberculosis 💬 60 genes, 61 drugs (DrugBank) and 89 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D08556 D08556 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
151 | Vascular smooth muscle contraction 💬 30 genes, 71 drugs (DrugBank) and 65 diseases |
AGTR1 [1] AGTR1 💬 |
D00150 D00150 💬 |
Angiotensin II | 017 [7] 17, 19, 46, 66, 86, 222, 224 💬 |
152 | Vascular smooth muscle contraction 💬 30 genes, 71 drugs (DrugBank) and 65 diseases |
AGTR1 [1] AGTR1 💬 |
D02014 D02014 💬 |
Angiotensin II | 017 [7] 17, 19, 46, 66, 86, 222, 224 💬 |
153 | Vascular smooth muscle contraction 💬 30 genes, 71 drugs (DrugBank) and 65 diseases |
AGTR1 [1] AGTR1 💬 |
D00400 D00400 💬 |
Valsartan | 057 [7] 57, 58, 66, 75, 218, 222, 224 💬 |
154 | VEGF signaling pathway 💬 20 genes, 48 drugs (DrugBank) and 84 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D00107 D00107 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
155 | VEGF signaling pathway 💬 20 genes, 48 drugs (DrugBank) and 84 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D08556 D08556 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
156 | Wnt signaling pathway 💬 8 genes, 7 drugs (DrugBank) and 56 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D00107 D00107 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |
157 | Wnt signaling pathway 💬 8 genes, 7 drugs (DrugBank) and 56 diseases |
PPP3CA [5] PPP3CA, PPP3CB, PPP3CC, PPP3R1, PPP3R2 💬 |
D08556 D08556 💬 |
Tacrolimus | 002 [32] 2 , 6 , 11, 13, 36, 46, 49, 50, 51, 53, 60, 61, 62, 65, 66, 85, 95, 96, 97, 113, 151, 158, 164, 222, 224, 226, 227, 228, 283, 284, 285, 299 💬 |