网络药理学在中药复杂作用模式研究中的应用进展

doi:10.3976/j.issn.1002-4026.2021.06.004

Abstract

Abstract:

The complex mechanisms of action of traditional Chinese medicine (TCM), which are characterized by multilevels and multisystems, have always been a crucial scientific problem in modern research. With the integration of computer technology, systems biology, multidirectional pharmacology, and other disciplines, network pharmacology has formed a core technical system based on network targets, which has established component-target-disease molecular networks and shown great application potential in the modern research of TCM. We reviewed the network construction and analysis technology of network pharmacology, recent research progress in elucidating TCM's pharmacological mechanism of action, and the potential for further development of network pharmacology to provide useful reference for conducting in-depth interpretation of the scientific connotation of TCM.

Key words: network pharmacology, traditional Chinese medicine, mechanism of action, network target, research progress

CLC Number:

R285

HAN Li-wen, CHEN Shan-jun, DONG Rong, ZHANG You-gang, WANG Xiao-jing. Progress of network pharmacology applications in studying the complex mechanisms of action of traditional Chinese medicine[J].Shandong Science, 2021, 34(6): 22-31.

Figures/Tables 1

References 50

[1]	XIONG X J, WANG P Q, SU K L, et al. Chinese herbal medicine for coronavirus disease 2019: A systematic review and meta-analysis[J]. Pharmacological Research, 2020, 160:105056. DOI: 10.1016/j.phrs.2020.105056. doi: 10.1016/j.phrs.2020.105056
[2]	NI L Q, CHEN L L, HUANG X, et al. Combating COVID-19 with integrated traditional Chinese and Western medicine in China[J]. Acta Pharmaceutica Sinica B, 2020, 10(7):1149-1162. DOI: 10.1016/j.apsb.2020.06.009. doi: 10.1016/j.apsb.2020.06.009
[3]	LI S, ZHANG Z Q, WU L J, et al. Understanding ZHENG in traditional Chinese medicine in the context of neuro-endocrine-immune network[J]. IET Systems Biology, 2007, 1(1):51-60. DOI: 10.1049/iet-syb:20060032. doi: 10.1049/iet-syb:20060032
[4]	HOPKINS A L. Network pharmacology[J]. Nature Biotechnology, 2007, 25(10):1110-1111. DOI: 10.1038/nbt1007-1110. doi: 10.1038/nbt1007-1110
[5]	李梢. 中医药计算系统生物学与寒热证候研究[J]. 世界科学技术:中医药现代化, 2007, 9(1):105-111.
	LI S. Computational systems biology-based TCM research: a case study of cold/hot ZHENG and associated formula[J]. World Science and Technology;Modernization of Traditional Chinese Medicine and Materia Medica, 2007, 9(1):105-111.
[6]	LI S, ZHANG B, ZHANG N B. Network target for screening synergistic drug combinations with application to traditional Chinese medicine[J]. BMC Systems Biology, 2011, 5(S1):10. DOI: 10.1186/1752-0509-5-S1-S10. doi: 10.1186/1752-0509-5-S1-S10
[7]	LUO T T, LU Y, YAN S K, et al. Network pharmacology in research of Chinese medicine formula: methodology, application and prospective[J]. Chinese Journal of Integrative Medicine, 2020, 26(1):72-80. DOI: 10.1007/s11655-019-3064-0. doi: 10.1007/s11655-019-3064-0
[8]	许海玉, 杨洪军. 整合药理学: 中药现代研究新模式[J]. 中国中药杂志, 2014, 39(3):357-362.
	XU H Y, YANG H J. Integrative pharmacology: new paradigm of modernization of Chinese medicine[J]. China Journal of Chinese Materia Medica, 2014, 39(3):357-362.
[9]	WANG X J, ZHANG A H, SUN H. Future perspectives of Chinese medical formulae: chinmedomics as an effector[J]. OMICS: A Journal of Integrative Biology, 2012, 16(7/8):414-421. DOI: 10.1089/omi.2011.0138. doi: 10.1089/omi.2011.0138
[10]	HAN Y, SUN H, ZHANG A H, et al. Chinmedomics, a new strategy for evaluating the therapeutic efficacy of herbal medicines[J]. Pharmacology & Therapeutics, 2020, 216:107680. DOI: 10.1016/j.pharmthera.2020.107680. doi: 10.1016/j.pharmthera.2020.107680
[11]	LIAO L X, SONG X M, WANG L C, et al. Highly selective inhibition of IMPDH2 provides the basis of antineuroinflammation therapy[J]. PNAS, 2017, 114(29):E5986-E5994. DOI: 10.1073/pnas.1706778114. doi: 10.1073/pnas.1706778114
[12]	曾克武, 姜勇, 王晶, 等. 中药化学生物学:“中药化学”与“生物学”交叉形成的新兴学科[J]. 中国中药杂志, 2019, 44(5):849-860. DOI: 10.19540/j.cnki.cjcmm.20190222.011. doi: 10.19540/j.cnki.cjcmm.20190222.011
	ZENG K W, JIANG Y, WANG J, et al. TCM chemical biology:emerging interdiscipline of “TCM chemistry” and “biology”[J]. China Journal of Chinese Materia Medica, 2019, 44(5):849-860. DOI: 10.19540/j.cnki.cjcmm.20190222.011. doi: 10.19540/j.cnki.cjcmm.20190222.011
[13]	韩利文, 张友刚, 李昊楠, 等. 参麦注射液治疗新型冠状病毒肺炎(COVID-19)合并冠心病的网络药理分子机制探析[J]. 中草药, 2020, 51(9):2334-2344.
	HAN L W, ZHANG Y G, LI H N, et al. Network pharmacologic molecular mechanism of Shenmai Injection in treatment of COVID-19 combined with coronary heart disease[J]. Chinese Traditional and Herbal Drugs, 2020, 51(9):2334-2344.
[14]	XU X, LI W, LI T, et al. Direct infusion-three-dimensional-mass spectrometry enables rapid chemome comparison among herbal medicines[J]. Analytical Chemistry, 2020, 92(11):7646-7656. DOI: 10.1021/acs.analchem.0c00483. doi: 10.1021/acs.analchem.0c00483
[15]	LUO J Y, CHEN G S, LIU D H, et al. Study on the material basis of Houpo Wenzhong decoction by HPLC fingerprint, UHPLC-ESI-LTQ-orbitrap-MS, and network pharmacology[J]. Molecules, 2019, 24(14):2561. DOI: 10.3390/molecules24142561. doi: 10.3390/molecules24142561
[16]	SHI Y P, ZHANG Y G, LI H N, et al. Discovery and identification of antithrombotic chemical markers in Gardenia Fructus by herbal metabolomics and zebrafish model[J]. Journal of Ethnopharmacology, 2020, 253:112679. DOI: 10.1016/j.jep.2020.112679. doi: 10.1016/j.jep.2020.112679
[17]	付昌丽, 刘春花, 潘洁, 等. 基于血浆药物化学和网络药理学分析良附滴丸治疗胃肠道疾病的活性成分和潜在分子机制[EB/OL].(2021-07-05)[2021-07-10]. https: //doi.org/10.19540/j.cnki.cjcmm.20210705.201 .
	FU C L, LIU C H, PAN J, et al. Study on mechanism of Liangfu Dropping Pills for treatment of gastrointestinal diseases based on plasma pharmacochemistry and network pharmacology[EB/OL]. (2021-07-05)[2021-07-10]. https: //doi.org/10.19540/j.cnki.cjcmm.20210705.201 .
[18]	王伟, 刘星雨, 尚云龙, 等. 基于血清药物化学与网络药理学探究麝香通心滴丸治疗冠心病的机制[J]. 中成药, 2020, 42(10):2768-2777. DOI: 10.3969/j.issn.1001-1528.2020.10.045. doi: 10.3969/j.issn.1001-1528.2020.10.045
	WANG W, LIU XY, SHANG Y L, et al. Study on mechanism of Shexiang Tongxin Pills for treatment of coronary heart disease based on plasma pharmacochemistry and network pharmacology[J]. Chinese Traditional Patent Medicine, 2020, 42(10):2768-2777. DOI: 10.3969/j.issn.1001-1528.2020.10.045. doi: 10.3969/j.issn.1001-1528.2020.10.045
[19]	DUAN C H, LI Y, DONG X R, et al. Network pharmacology and reverse molecular docking-based prediction of the molecular targets and pathways for avicularin against cancer[J]. Combinatorial Chemistry & High Throughput Screening, 2019, 22(1):4-12. DOI: 10.2174/1386207322666190206163409. doi: 10.2174/1386207322666190206163409
[20]	CHEN X, LIU M X, YAN G Y. Drug-target interaction prediction by random walk on the heterogeneous network[J]. Molecular BioSystems, 2012, 8(7):1970-1978. DOI: 10.1039/c2mb00002d. doi: 10.1039/c2mb00002d
[21]	VANUNU O, MAGGER O, RUPPIN E, et al. Associating genes and protein complexes with disease via network propagation[J]. PLoS Computational Biology, 2010, 6(1):e1000641. DOI: 10.1371/journal.pcbi.1000641. doi: 10.1371/journal.pcbi.1000641
[22]	ZHAO J, YANG J, TIAN S S, et al. A survey of web resources and tools for the study of TCM network pharmacology[J]. Quantitative Biology, 2019, 7(1):17-29. DOI: 10.1007/s40484-019-0167-8. doi: 10.1007/s40484-019-0167-8
[23]	SHANNON P, MARKIEL A, OZIER O, et al. Cytoscape: a software environment for integrated models of biomolecular interaction networks[J]. Genome Research, 2003, 13(11):2498-2504. DOI: 10.1101/gr.1239303. doi: 10.1101/gr.1239303
[24]	ZHONG X S, RAJAPAKSE J C. Graph embeddings on gene ontology annotations for protein-protein interaction prediction[J]. BMC Bioinformatics, 2020, 21(16):1-17. DOI: 10.1186/s12859-020-03816-8. doi: 10.1186/s12859-020-03816-8
[25]	CHAMBERLIN S R, BLUCHER A, WU G M, et al. Natural product target network reveals potential for cancer combination therapies[J]. Frontiers in Pharmacology, 2019, 10:557. DOI: 10.3389/fphar.2019.00557. doi: 10.3389/fphar.2019.00557
[26]	SUN Y, ZHU R X, YE H, et al. Towards a bioinformatics analysis of anti-Alzheimer's herbal medicines from a target network perspective[J]. Briefings in Bioinformatics, 2013, 14(3):327-343. DOI: 10.1093/bib/bbs025. doi: 10.1093/bib/bbs025
[27]	吴丹, 高耀, 向欢, 等. 基于网络药理学的柴胡抗抑郁作用机制研究[J]. 药学学报, 2018, 53(2):210-219. DOI: 10.16438/j.0513-4870.2017-0914. doi: 10.16438/j.0513-4870.2017-0914
	WU D, GAO Y, XIANG H, et al. Exploration into mechanism of antidepressant of BupleuriRadix based on network pharmacology[J]. Acta Pharmaceutica Sinica, 2018, 53(2):210-219. DOI: 10.16438/j.0513-4870.2017-0914. doi: 10.16438/j.0513-4870.2017-0914
[28]	GUO Y C, BAO C, MA D C, et al. Network-based combinatorial CRISPR-Cas9 screens identify synergistic modules in human cells[J]. ACS Synthetic Biology, 2019, 8(3):482-490. DOI: 10.1021/acssynbio.8b00237. doi: 10.1021/acssynbio.8b00237
[29]	李梢. 网络靶标: 中药方剂网络药理学研究的一个切入点[J]. 中国中药杂志, 2011, 36(15):2017-2020. DOI: 10.4268/cjcmm20111502. doi: 10.4268/cjcmm20111502
	LI S. Network target: A starting point for traditional Chinese medicine network pharmacology[J]. China Journal of Chinese Materia Medica, 2011, 36(15):2017-2020. DOI: 10.4268/cjcmm20111502. doi: 10.4268/cjcmm20111502
[30]	蔡孟成, 金永生. 热毒宁与血必净“同病异治”新型冠状病毒肺炎的网络药理学作用机制研究[J]. 药学服务与研究, 2021, 21(2):86-90.
	CAI M C, JIN Y S. Mechanism of network pharmacology of Reduning and Xuebijing in the treatment of Corona Virus Disease 2019 through “treating the same disease with different methods”[J]. Pharmaceutical Care and Research, 2021, 21(2):86-90.
[31]	王小雨, 周佳丽, 周颖, 等. 基于中药整合药理学探究参芪地黄汤与加味真武汤“同病异治”糖尿病肾病作用机制的异同[EB/OL].(2021-06-04) [2021-07-20]. https://doi.org/10.14066/j.cnki.cn21-1349/r.2020.0436.
	WANG X Y, ZHOU J L, ZHOU Y, et al. Investigating the similarities and differences of the mechanism of "same disease but different treatment" of diabetic nephropathy in Shenqi Dihuang Decoction and Jiawei Zhenwu Decoction based on integrative pharmacology[EB/OL].(2021-06-04) [2021-07-20]. https://doi.org/10.14066/j.cnki.cn21-1349/r.2020.0436.
[32]	卫拂晓, 刘欢乐, 范毓慧, 等. 基于网络药理学探讨逍遥散“异病同治”抑郁症、乳腺增生和功能性消化不良的作用机制[J]. 中国中药杂志, 2021, 46(16):4230-4237. DOI: 10.19540/j.cnki.cjcmm.20210520.702. doi: 10.19540/j.cnki.cjcmm.20210520.702
	WEI F X, LIU H L, FAN Y H, et al. Mechanism of Xiaoyao San in treatment of depression, breast hyperplasia, and functional dyspepsia based on network pharmacology[J]. China Journal of Chinese Materia Medica, 2021, 46(16):4230-4237. DOI: 10.19540/j.cnki.cjcmm.20210520.702. doi: 10.19540/j.cnki.cjcmm.20210520.702
[33]	叶雪珂, 姚娓. 酸枣仁汤异病同治失眠和抑郁症整合药理学机制[J]. 辽宁中医药大学学报, 2021, 23(8):69-73. DOI: 10.13194/j.issn.1673-842x.2021.08.014. doi: 10.13194/j.issn.1673-842x.2021.08.014
	YE X K, YAO W. Mechanism of treating different diseases with same method of Suanzaoren Decoction in insomnia and depression based on integrated pharmacology[J]. Journal of Liaoning University of Traditional Chinese Medicine, 2021, 23(8):65-73. DOI: 10.13194/j.issn.1673-842x.2021.08.014. doi: 10.13194/j.issn.1673-842x.2021.08.014
[34]	邓晶晶, 江华娟, 兰兴, 等. 基于网络药理学和分子对接探究经典名方桃红四物汤异病同治作用机制[J]. 中草药, 2021, 13(10):3018-3029. DOI: 10.7501/j.issn.0253-2670.2021.10.019. doi: 10.7501/j.issn.0253-2670.2021.10.019
	DENG J J, JIANG H J, LAN X, et al. Based on network pharmacology and molecular docking to explore mechanism of classic prescription Taohong Siwu Decoction in treating different diseases simultaneously[J]. Chinese Traditional and Herbal Drugs, 2021, 13(10):3018-3029. DOI: 10.7501/j.issn.0253-2670.2021.10.019. doi: 10.7501/j.issn.0253-2670.2021.10.019
[35]	许海玉, 张彦琼, 秦月雯, 等. 基于TCMIPV2.0探析新型冠状病毒肺炎全病程中医证候和推荐方剂的科学内涵[J]. 中国中药杂志, 2020, 45(7):1488-1498. DOI: 10.19540/j.cnki.cjcmm.20200229.401. doi: 10.19540/j.cnki.cjcmm.20200229.401
	XU H Y, ZHANG Y Q, QIN Y W, et al. Exploration on scientific connotation of TCM syndromes and recommended prescriptions against COVID-19 based on TCMTP V2.0[J]. China Journal of Chinese Materia Medica, 2020, 45(7):1488-1498. DOI: 10.19540/j.cnki.cjcmm.20200229.401. doi: 10.19540/j.cnki.cjcmm.20200229.401
[36]	牛旭艳, 李健, 吕诚, 等. 类风湿性关节炎热证“药-证对应”机制的网络药理学研究[J]. 中国实验方剂学杂志, 2012, 18(8):299-303. DOI: 10.13422/j.cnki.syfjx.2012.08.027. doi: 10.13422/j.cnki.syfjx.2012.08.027
	NIU X Y, LI J, LU C, et al. The molecular mechanism of "herbs-pattern correspondence" in RA with heat pattern based on network pharmacology[J]. Chinese Journal of Experimental Traditional Medical Formulae, 2012, 18(8):299-303. DOI: 10.13422/j.cnki.syfjx.2012.08.027. doi: 10.13422/j.cnki.syfjx.2012.08.027
[37]	KIBBLE M, SAARINEN N, TANG J, et al. Network pharmacology applications to map the unexplored target space and therapeutic potential of natural products[J]. Natural Product Reports, 2015, 32(8):1249-1266. DOI: 10.1039/c5np00005j. doi: 10.1039/c5np00005j
[38]	LIAO S, HAN L W, ZHENG X P, et al. Tanshinol borneol ester, a novel synthetic small molecule angiogenesis Stimulator inspired by botanical formulations for angina pectoris[J]. British Journal of Pharmacology, 2019, 176(17):3143-3160. DOI: 10.1111/bph.14714. doi: 10.1111/bph.14714
[39]	李翔, 吴磊宏, 范骁辉, 等. 复方丹参方主要活性成分网络药理学研究[J]. 中国中药杂志, 2011, 36(21):2911-2915. DOI: 10.4268/cjcmm20112102. doi: 10.4268/cjcmm20112102
	LI X, WU L H, FAN X H, et al. Network pharmacology study on major active compounds of Fufang Danshen formula[J]. China Journal of Chinese Materia Medica, 2011, 36(21):2911-2915. DOI: 10.4268/cjcmm20112102. doi: 10.4268/cjcmm20112102
[40]	GAO L, WANG X D, NIU Y Y, et al. Molecular targets of Chinese herbs: a clinical study of hepatoma based on network pharmacology[J]. Scientific Reports, 2016, 6:24944. DOI: 10.1038/srep24944. doi: 10.1038/srep24944
[41]	高耀, 高丽, 高晓霞, 等. 基于网络药理学的逍遥散抗抑郁活性成分作用靶点研究[J]. 药学学报, 2015, 50(12):1589-1595. DOI: 10.16438/j.0513-4870.2015.12.006. doi: 10.16438/j.0513-4870.2015.12.006
	GAO Y, GAO L, GAOX X, et al. An exploration in the action targets for antidepressant bioactive components of Xiaoyaosan based on network pharmacology[J]. Acta Pharmaceutica Sinica, 2015, 50(12):1589-1595. DOI: 10.16438/j.0513-4870.2015.12.006. doi: 10.16438/j.0513-4870.2015.12.006
[42]	LI S, ZHANG B, JIANG D, et al. Herb network construction and co-module analysis for uncovering the combination rule of traditional Chinese herbal formulae[J]. BMC Bioinformatics, 2010, 11(Suppl 11):S6. DOI: 10.1186/1471-2105-11-S11-S6. doi: 10.1186/1471-2105-11-S11-S6
[43]	韩彦琪, 许浚, 张喜民, 等. 基于网络药理学的元胡止痛滴丸治疗原发性痛经的作用机制研究[J]. 药学学报, 2016, 51(3):380-387.DOI: 10.16438/j.0513-4870.2015-0550. doi: 10.16438/j.0513-4870.2015-0550
	HAN Y Q, XU J, ZHANG X M, et al. Network pharmacology-based study on mechanism of Yuanhu Zhitong Dropping Pills in the treatment of primary dysmenorrhea[J]. Acta Pharmaceutica Sinica, 2016, 51(3):380-387. DOI: 10.16438/j.0513-4870.2015-0550. doi: 10.16438/j.0513-4870.2015-0550
[44]	梁雨璐, 张洁, 李忆红, 等. 整合网络毒理学和网络药理学的合欢皮抗焦虑毒效机制探究[J]. 药物评价研究, 2021, 44(7):1411-1424.
	LIANG Y L, ZHANG J, LI Y H, et al. Toxicity-efficacy mechanism of Albizia Cortex on anxiolytic effects by integrating network toxicology and network pharmacology[J]. Drug Evaluation Research, 2021, 44(7):1411-1424.
[45]	庄开颜, 高硕, 柳晴, 等. 基于斑马鱼模型和网络药理学的甘草酸拮抗乌头碱心脏毒性作用与机制研究[J]. 药物评价研究, 2021, 44(7):1368-1376.
	ZHUANG K Y, GAO S, LIU Q, et al. Study of glycyrrhizic acid ameliorates cardiotoxicity of aconitine and potential mechanism based on zebrafish model and network pharmacology[J]. Drug Evaluation Research, 2021, 44(7):1368-1376.
[46]	VOGT I, MESTRES J. Information loss in network pharmacology[J]. Molecular Informatics, 2019, 38(7):e1900032. DOI: 10.1002/minf.201900032. doi: 10.1002/minf.201900032
[47]	ABBASI K, RAZZAGHI P, POSO A, et al. Deep learning in drug target interaction prediction: Current and future perspectives[J]. Current Medicinal Chemistry, 2021, 28(11):2100-2113. DOI: 10.2174/0929867327666200907141016. doi: 10.2174/0929867327666200907141016
[48]	YUAN H D, MA Q Q, CUI H Y, et al. How can synergism of traditional medicines benefit from network pharmacology?[J]. Molecules, 2017, 22(7):1135. DOI: 10.3390/molecules22071135. doi: 10.3390/molecules22071135
[49]	世界中医药学会联合会. 网络药理学评价方法指南[J]. 世界中医药, 2021, 16(4):527-532.
	World Federation of Chinese Medicine Societies. Network pharmacology evaluation methodology guidance[J]. World Chinese Medicine, 2021, 16(4):527-532.
[50]	YANG H Y, WANG M H, LIU X, et al. PhosIDN: an integrated deep neural network for improving protein phosphorylation site prediction by combining sequence and protein-protein interaction information[J]. Bioinformatics, 2021: btab551. DOI: 10.1093/bioinformatics/btab551. doi: 10.1093/bioinformatics/btab551

Metrics

Comments

Recommended 0

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0), which permits third parties to freely share (i.e., copy and redistribute the material in any medium or format) and adapt (i.e., remix, transform, or build upon the material) the articles published in this journal, provided that appropriate credit is given, a link to the license is provided, and any changes made are indicated. The material may not be used for commercial purposes. For details of the CC BY-NC 4.0 license, please visit: https://creativecommons.org/licenses/by-nc/4.0

Progress of network pharmacology applications in studying the complex mechanisms of action of traditional Chinese medicine

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 1

References 50

Related Articles 15

Metrics

Comments

Recommended 0

[1]	LI Dongye, CUI Jingru, ZONG Ruiyu, LI Xin, WANG Siyu, JIA Hongling, SONG Haiyan. Public awareness and preference for traditional Chinese medicine acupuncture based on the best-worst scaling [J]. Shandong Science, 2025, 38(5): 131-139.
[2]	GUO Yingjian, YU Jinqian, DONG Hongjing, WANG Chuangchuang, ZHONG Kai, WANG Xiao. Topological analysis reveals mechanism of Panax notoginseng saponin in the treatment of gouty arthritis based on network pharmacology and in vitro experiments [J]. Shandong Science, 2025, 38(5): 40-48.
[3]	SUN Jingtian, LIU Feng, ZHANG Zhe, ZHANG Yufu, MA Xinhui, LI Qingjun, WANG Xiao, DONG Hongjing. Exploring the medication rule of Chrysanthemum morifolium Ramat. and investigating the synergistic pharmacological activity of core combination herbs [J]. Shandong Science, 2025, 38(1): 1-8.
[4]	HAN Huijie, LIU Hui, ZHAO Yongbo, WANG Songpo. A study based on network pharmacology and experimental verification exploring the mechanism of quercetin against colorectal cancer through the p53 signaling pathway [J]. Shandong Science, 2025, 38(1): 32-43.
[5]	FAN Wei, SHEN Chuanlin, ZHANG Xuanming, DU Xingshuo, ZHAN Wen, SUN Chen, JIN Meng, LI Xiaobin, ZHANG Sichen, SUN Botong, HE Qiuxia. Prediction of anti-aging mechanism of Panax quinquefolius L. by network pharmacology and molecular docking [J]. Shandong Science, 2024, 37(6): 42-50.
[6]	YAN Jin, LI Fei, WU Keming, YANG Haobo. The molecular mechanisms by which Xinjia Cistanche Tusi Decoction promotes follicular development through mitophagy [J]. Shandong Science, 2024, 37(5): 25-34.
[7]	LIN Shenghua, XUE Chang, MA honglin, FAN Wei, SHEN Chuanlin, CHEN Jiayu, SUN Botong, DU Xingshuo, ZHAN Wen, LI Xiaobin, ZHANG Shanshan, JIN Meng, HE Qiuxia. Study of the active components and mechanism of action of antithrombotic Xuefuzhuyu oral liquid based on network pharmacology and molecular docking technology [J]. Shandong Science, 2024, 37(4): 26-33.
[8]	WU Bojin, DONG Ting, WEN Yuya, TIAN Liwei, ZHAO Chenling. The mechanism by which Gandouling tablets improve ferroptosis in hepatolenticular degeneration through PKCβⅡ/ACSL4/ALOX5 signaling pathway regulation [J]. Shandong Science, 2024, 37(4): 34-44.
[9]	MA Shijing, HE Chunyan, GUAN Tianzhu, YAO Xueshuang, ZHANG Junpeng. Exploration of antihyperlipidemia mechanism of Monopterus albus peptides based on hyperlipidemic zebrafish model and network pharmacology [J]. Shandong Science, 2024, 37(3): 27-38.
[10]	WEI Zekun, YANG Yujie, LIU Shuang, WANG Yan, DONG Hongjing, LIU Chunmei. Reverse mining of Chinese medicine for intervention of liver cancer based on GEO database combined with network pharmacology and molecular docking technology [J]. Shandong Science, 2024, 37(3): 39-47.
[11]	LIU Shuang, DONG Hongjing, CHEN Panpan, WANG Xiao. Research progress on the mechanisms by which natural phenolic compounds alleviate hyperuricemia [J]. Shandong Science, 2024, 37(2): 12-19.
[12]	LUO Yaqin, HUANG Wei. Progress in the research on the mechanism of action of Scutellaria baicalensis and its active ingredients in treating ulcerative colitis [J]. Shandong Science, 2024, 37(2): 20-28.
[13]	LIU Kechun, WANG Yongcheng, ZANG Xiaohan, XIA Qing, ZHANG Yun, ZHANG Shanshan, SUN Chen. Advancements in network pharmacology and zebrafish modeling for studying traditional Chinese medicine’s effective substances and mechanisms of action [J]. Shandong Science, 2024, 37(2): 29-35.
[14]	YANG Guohong, ZHOU Bingqian, LU Heng, SONG Xiangyun, ZHU Heng, WANG Xiao, LIU Qian, LIU Wei. Investigation and analysis of the current situation of traditional Chinese medicine resources in Gangcheng District, Jinan City, Shandong Province [J]. Shandong Science, 2024, 37(1): 1-8.
[15]	FU Zhaoju, CHENG Guo, LIN Dengmei, LI Jun, ZHANG Nannan. Experimental study and network pharmacological analysis of the anti-inflammatory action mechanism of Mahonia bealei (Fort.) Carr. [J]. Shandong Science, 2024, 37(1): 24-31.