| HPRNA: Predicting synergistic drug combinations for angina pectoris based on human pathway relationship network algorithm | |
Zhou, Mengyao1,2; Xu MF(徐梦凡)1,3; Zhang, Xiangling4; Xing, Xiaochun4; Li, Yang5 ; Wang, Guanghui6; Yan, Guiying1,2
| |
| Corresponding Author | Yan, Guiying(yangy@amt.ac.cn) |
| Source Publication | PLOS ONE
 |
| 2025-02-06 | |
| Volume | 20Issue:2Pages:15 |
| ISSN | 1932-6203 |
| Abstract | Over the years, synergistic drug combinations therapies have attracted widespread attention due to its advantages of overcoming drug resistance, increasing treatment efficacy and decreasing toxicity. Compared to lengthy medical drugs experimental screening, mathematical models and algorithms show great potential in synergistic drug combinations prediction. In this paper, we introduce a novel mathematical algorithm, the Human Pathway Relationship Network Algorithm (HPRNA), which is designed to predict synergistic drug combinations for angina pectoris. We first reconstruct a novel angina pectoris drug dataset, which include drug name, drug metabolism, chemical formula, targets and pathways, then construct a comprehensive human pathway network based on the genetic similarity of the pathways which contain information about the targets. Finally, we introduce a novel indicator to calculate drug pair scores which measure the likelihood of forming synergistic drug combination. Experimental results on angina pectoris drug datasets convincingly demonstrate that the HPRNA makes efficient use of target and pathway information and is superior to previous algorithms. |
| DOI | 10.1371/journal.pone.0318368 |
| Indexed By | SCI |
| Language | 英语 |
| WOS ID | WOS:001435274300098 |
| WOS Research Area | Science & Technology - Other Topics |
| WOS Subject | Multidisciplinary Sciences |
| Funding Project | National Natural Science Foundation of China[12231018] |
| Funding Organization | National Natural Science Foundation of China |
| Classification | 二类/Q1 |
| Ranking | 2 |
| Contributor | Yan, Guiying |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://dspace.imech.ac.cn/handle/311007/100692 |
| Collection | 流固耦合系统力学重点实验室 |
| Affiliation | 1.Univ Chinese Acad Sci, Beijing, Peoples R China; 2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China; 3.Chinese Acad Sci, Inst Mech, Key Lab Mech Fluid solid Coupling Syst, Beijing, Peoples R China; 4.Tianjin Forth Cent Hosp, Tianjin, Peoples R China; 5.Tianjin Med Univ Canc Inst & Hosp, Tianjin Med Univ, Tianjin, Peoples R China; 6.Shandong Univ, Jinan, Peoples R China |
| Recommended Citation GB/T 7714 | Zhou, Mengyao,Xu MF,Zhang, Xiangling,et al. HPRNA: Predicting synergistic drug combinations for angina pectoris based on human pathway relationship network algorithm[J]. PLOS ONE,2025,20,2,:15. |
| APA | Zhou, Mengyao.,徐梦凡.,Zhang, Xiangling.,Xing, Xiaochun.,Li, Yang.,...&Yan, Guiying.(2025).HPRNA: Predicting synergistic drug combinations for angina pectoris based on human pathway relationship network algorithm.PLOS ONE,20(2),15. |
| MLA | Zhou, Mengyao,et al."HPRNA: Predicting synergistic drug combinations for angina pectoris based on human pathway relationship network algorithm".PLOS ONE 20.2(2025):15. |
| Files in This Item: | There are no files associated with this item. | |||||
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment