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Virtual screening and activity evaluation of novel μ opioid receptor antagonists
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Yong-Zheng Fan1, 2, Wei-Guo Liu1, Zheng Yong1, *, Rui-Bin Su1, *
Medical Journal of Chinese People’s Liberation Army | 2022, 47(10) : 992 - 998
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Medical Journal of Chinese People’s Liberation Army | 2022, 47(10): 992-998
Basic Research
Virtual screening and activity evaluation of novel μ opioid receptor antagonists
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Yong-Zheng Fan1, 2, Wei-Guo Liu1, Zheng Yong1, *, Rui-Bin Su1, *
Affiliations
  • 1Institute of Pharmacology and Toxicology/Beijing Key Laboratory of Neuropsychopharmacology/State Key Laboratory of Toxicology and Medical Countermeasures, Academy of Military Medical Sciences, Academy of Military Sciences, Beijing 100850, China
  • 2Drug and Equipment Section, the 991 Hospital of PLA Joint Logistic Support Force, Xiangyang, Hubei 441000, China
Published: 2022-10-28 doi: 10.11855/j.issn.0577-7402.2022.10.0992
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Objective The novel μ opiate receptor (MOR) antagonists with biological activity was searched based on computer aided drug design method. Methods The MOR was employed as the target protein, and the Glide module of Schrodinger software was used to virtually screen the numerous compounds included in ZTNC-15 open source compound database. According to the molecular docking score, skeleton structure, binding mode and compound acquisition, one compound that may be as an antagonist was selected. The anti-fentanyl-induced acute death model of mice and the experiment of improving fentanyl-induced respiratory depression of rats were used to evaluate the biological activity of A6 against MOR. Finally, molecular dynamics simulation method was employed to analyze the possible mechanism of MOR-A6 interaction. Results The molecular docking score of compound A6 was comparable to that of naloxone. The results of animal experiments showed that the LD50 value of fentanyl-induced death of mice in A6 prevention administration group [13.2(95%CI 12.0-14.5) mg/kg] was 1.3 times and higher than that in model group [10.5(95%CI 9.6-11.5) mg/kg], and the mortality of mice in experimental group was significantly lower than that in model group (P<0.05); Compared with model group, the carotid oxygen saturation (SaO2) of rats in A6 prevention administration group increased significantly at 15, 20 and 25 min after fentanyl injection (47.91%±3.17% vs. 62.63%±4.14%, 52.99%±3.92%vs. 69.57%±3.17%, and 58.16%±2.45% vs. 77.10%±4.93%, P<0.05). Molecular dynamics simulation of A6 and MOR showed that ASP147 amino acid residue of A6 is consistent with the predicted results of molecular docking, and has a large contribution on binding free energy. Conclusions A novel compound A6 has obtained by virtual screening which could effectively antagonise fentanyl-induced acute toxic death in mice and improve fentanyl-induced respiratory depression in rats. The mechanism may be related to the hydrogen bond formation of ASP147 amino acid residue with MOR.

μ opioid receptor  /  fentanyl  /  virtual filtering  /  antagonists
Yong-Zheng Fan, Wei-Guo Liu, Zheng Yong, Rui-Bin Su. Virtual screening and activity evaluation of novel μ opioid receptor antagonists[J]. Medical Journal of Chinese People’s Liberation Army, 2022 , 47 (10) : 992 -998 . DOI: 10.11855/j.issn.0577-7402.2022.10.0992
Year 2022 volume 47 Issue 10
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Article Info
doi: 10.11855/j.issn.0577-7402.2022.10.0992
  • Receive Date:2022-01-25
  • Online Date:2025-12-15
  • Published:2022-10-28
Article Data
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History
  • Received:2022-01-25
  • Accepted:2022-02-18
Affiliations
    1Institute of Pharmacology and Toxicology/Beijing Key Laboratory of Neuropsychopharmacology/State Key Laboratory of Toxicology and Medical Countermeasures, Academy of Military Medical Sciences, Academy of Military Sciences, Beijing 100850, China
    2Drug and Equipment Section, the 991 Hospital of PLA Joint Logistic Support Force, Xiangyang, Hubei 441000, China

Corresponding:

* Yong Zheng, E-mail: ;
Su Rui-Bin, E-mail:
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
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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