Background
No. | Type | Structure | Reference |
---|---|---|---|
MA-1 | Amide alkaloid | [26] | |
MA-2 | Amide alkaloid | [25] | |
MA-3 | Amide alkaloid | [25] | |
MA-5 | Amide alkaloid | [26] | |
MA-6 | Amide alkaloid | [27] | |
MA-7 | Amide alkaloid | [27] | |
MA-8 | Amide alkaloid | [27] | |
MA-9 | Amide alkaloid | [27] | |
MA-10 | Amide alkaloid | [27] | |
MA-11 | Amide alkaloid | [27] | |
MA-12 | Amide alkaloid | [27] | |
MA-13 | Amide alkaloid | [27] | |
MA-14 | Amide alkaloid | [27] | |
MA-15 | Amide alkaloid | [27] | |
MA-19 | Amide alkaloid | [26] | |
MA-20 | Amide alkaloid | [26] | |
MA-21 | Amide alkaloid | [26] | |
MA-22 | Amide alkaloid | [26] | |
MA-23 | Amide alkaloid | [27] | |
MA-27 | Amide alkaloid | [26] | |
MA-28 | Amide alkaloid | [27] | |
MA-24 | Amide alkaloid | [9] | |
MA-25 | Amide alkaloid | [9] | |
MA-26 | Amide alkaloid | [9] | |
MA-4 | Pyridine derivatives | [26] | |
MA-29 | Pyridine derivatives | [28] | |
MA-31 | Pyridine derivatives | [28] | |
MA-16 | Imidazole alkaloid | [25] | |
MA-17 | Imidazole alkaloid | [6] | |
MA-18 | β-carboline alkaloids | [29] | |
MA-30 | Indole alkaloid | [29] | |
MA-32 | Macaene | [30] | |
MA-33 | Macaene | ||
MA-34 | Macaene | ||
MA-35 | Macaene |
No. | Type of compounds | Structure |
---|---|---|
MA-36 | Amide alkaloid | |
MA-37 | Amide alkaloid | |
MA-38 | Amide alkaloid | |
MA-39 | Amide alkaloid | |
MA-40 | Amide alkaloid | |
MA-41 | Amide alkaloid | |
MA-42 | Amide alkaloid | |
MA-43 | Amide alkaloid | |
MA-44 | Amide alkaloid | |
MA-45 | Amide alkaloid | |
MA-46 | Amide alkaloid | |
MA-47 | Amide alkaloid |
Methods
Collection of chemical constituents
Conformer generation
Pharmacophore model collection
PharmaDB
Parameters
Binding mode refinement
WEGA validation
Network construction
Target | No. of hit compound | Drugsa
|
---|---|---|
Osteoporosis
| ||
ABL1 | 2 | Nilotinib, saracatinib, regorafenib |
ER-α | 4 | 17-α-ethinylestradiol, fulvestrant, β-estradiol |
CSF1R | 2 | Nilotinib, sunitinib, pazopanib |
MMP3 | 1 | Marimastat |
C-src | 2 | Dasatinib, AZM-475271, saracatinib, |
MMP9 | 1 | |
MMP13 | 3 | Marimastat |
CDK9 | 1 | BMS-387032, alvocidib |
Prostate cancer
| ||
Hsp90-α | 15 | Alvespimycin, retaspimycin, luminespib |
MMP3 | 1 | Marimastat |
MET | 1 | Crizotinib, tivantinib, cabozantinib |
AR | 3 | Testosterone enanthate, enzalutamide, 1-testosterone |
MMP9 | 1 | |
RXR-α | 4 | Etretinate, tretinoin, bexarotene |
MMP12 | 4 | Marimastat |
MMP13 | 3 | Marimastat |
MAP2K1 | 3 | Selumetinib, trametinib, dabrafenib |
Kidney diseases
| ||
MMP9 | 1 | |
CA2 | 11 | Ethoxyzolamide, dichlorphenamide, brinzolamide |
P450scc | 22 | |
MET | 1 | Crizotinib, tivantinib, cabozantinib |
MIF | 1 | |
sEH | 2 | |
PPAR-γ | 20 | Icosapent, amlodipine/telmisartan, aleglitazar, |
MMP12 | 4 | Marimastat |
KIF11 | 23 | |
MAPK14 | 19 | Talmapimod, RO-3201195 |
CA9 | 1 | Girentuximab, methazolamide, hydrochlorothiazide |
Cardiovascular diseases
| ||
JAK2 | 19 | Tofacitinib, ruxolitinib |
F2 | 8 | Enoxaparin, desirudin, dabigatran etexilate |
F10 | 15 | Dalteparin, heparin, enoxaparin |
REN | 1 | Aliskiren, aliskiren/valsartan, aliskiren/amlodipine |
CA1 | 1 | Ethoxyzolamide, dichlorphenamide, brinzolamide |
ER-α | 4 | 17-α-ethinylestradiol, fulvestrant, β-estradiol |
MMP3 | 1 | Marimastat |
LTA4H | 3 | |
THR-β | 1 | Amiodarone, levothyroxine, dextrothyroxine, |
FGFR1 | 16 | Pazopanib, nintedanib, regorafenib |
PLA2G2A | 7 | Varespladib methyl, varespladib, indomethacin |
FLT1 | 3 | Sunitinib, pazopanib, axitinib |
FGFR2 | 2 | Nintedanib, regorafenib, dexamethasone/thalidomide |
CDK2 | 26 | BMS-387032, alvocidib |
EPHX2 | 2 | |
KDR | 8 | Sunitinib, cediranib, pazopanib |
PPAR-γ | 20 | Icosapent, amlodipine/telmisartan, aleglitazar, |
MMP12 | 4 | Marimastat |
MMP13 | 3 | Marimastat |
PIK3CG | 12 | Dactolisib, buparlisib, |
GSK3-β | 2 | Enzastaurin |
CDK9 | 1 | BMS-387032, alvocidib |
MAPK10 | 7 | |
NR1H2 | 4 | |
DHODH | 7 | Teriflunomide, leflunomide |
PPAR-δ | 8 | Treprostinil, icosapent, bezafibrate |
PPAR-α | 2 | Choline fenofibrate, aleglitazar, gemfibrozil |
MAPK14 | 19 | Talmapimod, RO-3201195 |
NR1H4 | 1 |
Results and discussion
Evaluation of constituents
Network analysis
Interpreting the mechanisms of action
WEGA validation
Selected targets related to prostate cancer
Selected targets related to kidney diseases
Selected targets related to osteoporosis
Prediction of the function of maca compounds in the treatment of cardiovascular diseases
Targets related to CVD | Compounds |
---|---|
MAPK14 | MA-1, 6, 9, 12, 21, 23, 24, 25, 36, 37, 38, 39, 40, 43 |
PPARα | MA-26 |
PPARγ | MA-1, 18, 24, 36 |
PPARδ | MA-4 |