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Virtual Screening of Anti-Airway Inflammatory Components in Xixin (Asari Radix et Rhizoma) Based on 3D-QSAR, Molecular Docking and Experimental Validation
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Jiaying LI1, 2, Huixue HUANG1, Jun LI3, Fang DENG1, 2, Luna DOU1, Xiao LIANG1, 2
Chinese Archives of Traditional Chinese Medicine | 2026, 44(9) : 160 - 166
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Chinese Archives of Traditional Chinese Medicine | 2026, 44(9): 160-166
• Target on National Project •
Virtual Screening of Anti-Airway Inflammatory Components in Xixin (Asari Radix et Rhizoma) Based on 3D-QSAR, Molecular Docking and Experimental Validation
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Jiaying LI1, 2, Huixue HUANG1, Jun LI3, Fang DENG1, 2, Luna DOU1, Xiao LIANG1, 2
Affiliations
  • 1.Guilin Medical University, Guilin 541199, Guangxi, China
  • 2.Guangxi Key Laboratory of Drug Discovery and Optimization, Guilin 541199, Guangxi, China
  • 3.Changsha Medical University, Changsha 410219, Hunan, China
Published: 2026-09-10 doi: 10.13193/j.issn.1673-7717.2026.09.030
Outline
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Objective

To identify the potential anti-inflammatory active components in Xixin (Asari Radix et Rhizoma) that inhibit nuclear factor-kappa B (NF-κB) using three-dimensional quantitative structure-activity relationship (3D-QSAR), molecular docking and cell experiments.

Method

Discovery Studio software was employed to construct an optimal 3D-QSAR model based on NF-κB for virtual screening of potential active ingredients in Xixin (Asari Radix et Rhizoma) and to predict their pharmacokinetic (ADMET) properties. Subsequently, AutoDock Vina software was utilized for molecular docking to evaluate the binding affinity of the potential active ingredients with NF-κB pathway targets. A BEAS-2B cell model was established, and in vitro enzyme-linked immunosorbent assay (ELISA) was performed to verify the anti-inflammatory effects of the selected components.

Results

The 3D-QSAR model and ADMET prediction collectively identified five active compounds, including asarinin and sesamin from Xixin (Asari Radix et Rhizoma). Molecular docking results demonstrated that these active compounds exhibited good binding affinity with the NF-κB protein. In vitro cell experiments confirmed that asarinin and sesamin possessed significant anti-inflammatory effects.

Conclusion

The integration of 3D-QSAR modeling, molecular docking and in vitro experimental techniques effectively facilitates the discovery of NF-κB inhibitory components in Xixin (Asari Radix et Rhizoma) and elucidates their pharmacodynamic material basis.

3D-QSAR  /  molecular docking  /  Xixin (Asari Radix et Rhizoma)  /  nuclear factor-kappa B  /  bronchial asthma
李佳颖, 黄慧学, 李君, 邓芳, 窦潞娜, 梁晓. 基于三维定量构效关系、分子对接与实验验证对细辛中抗气道炎症成分的虚拟筛选. 中华中医药学刊, 2026 , 44 (9) : 160 -166 . DOI: 10.13193/j.issn.1673-7717.2026.09.030
Jiaying LI, Huixue HUANG, Jun LI, Fang DENG, Luna DOU, Xiao LIANG. Virtual Screening of Anti-Airway Inflammatory Components in Xixin (Asari Radix et Rhizoma) Based on 3D-QSAR, Molecular Docking and Experimental Validation[J]. Chinese Archives of Traditional Chinese Medicine, 2026 , 44 (9) : 160 -166 . DOI: 10.13193/j.issn.1673-7717.2026.09.030
Year 2026 volume 44 Issue 9
99
18
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doi: 10.13193/j.issn.1673-7717.2026.09.030
  • Online Date:2026-10-20
  • Published:2026-09-10
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    1.Guilin Medical University, Guilin 541199, Guangxi, China
    2.Guangxi Key Laboratory of Drug Discovery and Optimization, Guilin 541199, Guangxi, China
    3.Changsha Medical University, Changsha 410219, Hunan, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
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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