biostudies-literatureDong Xthe General Project of National Natural Science Foundation of ChinaMacau Science and Technology Development fundKey Scientific Research Project of Henan Province Colleges and Universitiesthe major key project of Peng Cheng Laboratory under grantthe TianYuan funds for Mathematics of the National Science Foundation of ChinaShenzhen-Hong Kong-Macao Science and Technology Fund98https://www.ebi.ac.uk/biostudies/studies/S-EPMC12220451biostudies-literatureUnknown20(1)<h4>Background</h4>As a natural small molecule compound, Leonurine have great potential for application in the treatment of cardiovascular diseases. However, there is still a gap in the treatment of thrombosis with Leonurine.<h4>Methods</h4>A multimodal heterogeneous network is constructed using ETCM and STRING databases, integrating herbs, ingredients, targets and diseases. A reposition model constructed by random walk and random forests is used to predict the relationship between Leonurine and diseases. In addition, network pharmacology, molecular docking and molecular dynamics are used as computer-aided methods to confirm the target of Leonurine. Finally, CCK-8 assay, Flow cytometry, Western Blotting, and mouse experiments are used to validate the therapeutic potential of Leonurine fromChinese medicineDecoding the anti-thrombotic effects of leonurine: a multimodal approach combining TCM repositioning and mTOR signaling.PMC12220451003/2022/ALC0144/2022/A3)12326604SGDX202205301112030202223004205380092/2022/A2PCL2023A09FDCT (0012/2021/AMJ22A416002Dong XZhang JJia SLiang YZhu YZZhang LfalseDecoding the anti-thrombotic effects of leonurine: a multimodal approach combining TCM repositioning and mTOR signaling.<h4>Background</h4>As a natural small molecule compound, Leonurine have great potential for application in the treatment of cardiovascular diseases. However, there is still a gap in the treatment of thrombosis with Leonurine.<h4>Methods</h4>A multimodal heterogeneous network is constructed using ETCM and STRING databases, integrating herbs, ingredients, targets and diseases. A reposition model constructed by random walk and random forests is used to predict the relationship between Leonurine and diseases. In addition, network pharmacology, molecular docking and molecular dynamics are used as computer-aided methods to confirm the target of Leonurine. Finally, CCK-8 assay, Flow cytometry, Western Blotting, and mouse experiments are used to validate the therapeutic potential of Leonurine from2025-01-01T00:00:00Z2025 Jul2026-05-27T12:18:55.883Z2026-05-27T03:07:52.999ZS-EPMC122204514059735710.1186/s13020-025-01160-8