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Repositioning drug discovery for Alzheimer's disease based on global marketed drug data
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Bao-yue ZHANG1, Xiao-cong PANG1, 2, Hao JIA1, Zhe WANG1, Ai-lin LIU1, *, Guan-hua DU1, *
Acta Pharmaceutica Sinica | 2019, 54(7) : 1214 - 1224
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Acta Pharmaceutica Sinica | 2019, 54(7): 1214-1224
Original Articles
Repositioning drug discovery for Alzheimer's disease based on global marketed drug data
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Bao-yue ZHANG1, Xiao-cong PANG1, 2, Hao JIA1, Zhe WANG1, Ai-lin LIU1, *, Guan-hua DU1, *
Affiliations
  • 1. Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100050, China
  • 2. Department of Pharmacy, Peking University First Hospital, Beijing 100034, China
Published: 2019-07-12 doi: 10.16438/j.0513-4870.2019-0165
Outline
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Alzheimer's disease (AD) is a neurodegenerative disease that seriously threatens the life of the elderly and there is no effective therapy to treat or delay the onset of this disease. Due to the multifactorial etiology of this disease, the multi-target-directed ligand (MTDL) approach is an innovative and promising method in search for new drugs against AD. In order to find potential multi-target anti-AD drugs through reposition of current drugs, the database of global drugs on market were mined by an anti-AD multi-target prediction platform established in our laboratory. As a result, inositol nicotinate, cyproheptadine, curcumin, rosiglitazone, demecarium, oxybenzone, agomelatine, codeine, imipramine, dyclonine, melatonin, perospirone, and bufexamac were predicted to act on at least one anti-AD drug target yet act against AD through various mechanisms. The compound-target network was built using the Cytoscape. The prediction was validated by molecular docking between agomelatine and its multiple targets, including ADORA2A, ACHE, BACE1, PTGS2, MAOB, SIGMAR1 and ESR1. Agomelatine was shown to be able to act on all the targets above. In conclusion, the potential drugs for anti-AD therapy in the database for global drugs on market was partially uncovered using machine learning, network pharmacology, and molecular docking methods. This study provides important information for drug reposition in anti-AD therapy.

Alzheimer's disease  /  multi-target  /  virtual screening  /  global market drug  /  repositioning  /  molecular docking
Bao-yue ZHANG, Xiao-cong PANG, Hao JIA, Zhe WANG, Ai-lin LIU, Guan-hua DU. Repositioning drug discovery for Alzheimer's disease based on global marketed drug data[J]. Acta Pharmaceutica Sinica, 2019 , 54 (7) : 1214 -1224 . DOI: 10.16438/j.0513-4870.2019-0165
Year 2019 volume 54 Issue 7
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Article Info
doi: 10.16438/j.0513-4870.2019-0165
  • Receive Date:2019-03-08
  • Online Date:2026-01-26
  • Published:2019-07-12
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History
  • Received:2019-03-08
  • Revised:2019-04-08
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Affiliations
    1. Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100050, China
    2. Department of Pharmacy, Peking University First Hospital, Beijing 100034, China
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表12种不同金属材料的力学参数

Family
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Number of
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Number of
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种数
Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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