Acknowledgement
본 연구는 보건복지부의 재원으로 한국보건산업진흥원의 보건의료기술 연구개발사업 지원(HF20C0087), 그리고 과학기술정보통신부의 재원으로 한국연구재단의 지원(2017R1C1B5018100)을 받아 수행된 연구임.
References
- Lee S. Understanding Cold and Hot Pattern Classification Based on Systems Biology. J Physiol Pathol Korean Med. 2016;30(6):376-84. https://doi.org/10.15188/kjopp.2016.12.30.6.376
- Moncrieff J. Research on a "drug-centred" approach to psychiatric drug treatment: Assessing the impact of mental and behavioural alterations produced by psychiatric drugs. Epidemiol Psychiatr Sci. 2018;27(2):133-40. https://doi.org/10.1017/S2045796017000555
- Zhang R, Zhu X, Bai H, Ning K. Network Pharmacology Databases for Traditional Chinese Medicine: Review and Assessment. Front Pharmacol. 2019;10(123):1-14. https://doi.org/10.3389/fphar.2019.00001
- Hopkins AL. Network pharmacology. Nature Biotechnology. 2007.
- Lee WY, Lee CY, Kim YS, Kim CE. The methodological trends of traditional herbal medicine employing network pharmacology. Biomolecules. 2019;9(8):362. https://doi.org/10.3390/biom9080362
- Ru J, Li P, Wang J, Zhou W, Li B, Huang C, et al. TCMSP: A database of systems pharmacology for drug discovery from herbal medicines. J Cheminform. 2014;6(1):1-6. https://doi.org/10.1186/1758-2946-6-1
- Xue R, Fang Z, Zhang M, Yi Z, Wen C, Shi T. TCMID: Traditional Chinese medicine integrative database for herb molecular mechanism analysis. Nucleic Acids Res. 2013;41(D1):1089-95.
- Wu Y, Zhang F, Yang K, Fang S, Bu D, Li H, et al. SymMap: An integrative database of traditional Chinese medicine enhanced by symptom mapping. Nucleic Acids Res. 2019;47(D1):D1110-7. https://doi.org/10.1093/nar/gky1021
- Kim SK, Nam SJ, Jang H, Kim A, Lee JJ. TM-MC: A database of medicinal materials and chemical compounds in Northeast Asian traditional medicine. BMC Complement Altern Med. 2015;15(1):1-8. https://doi.org/10.1186/s12906-015-0520-z
- Xu X, Zhang W, Huang C, Li Y, Yu H, Wang Y, et al. A novel chemometric method for the prediction of human oral bioavailability. Int J Mol Sci. 2012;13(6):6964-82. https://doi.org/10.3390/ijms13066964
- Daina A, Zoete V. A BOILED-Egg To Predict Gastrointestinal Absorption and Brain Penetration of Small Molecules. ChemMedChem. 2016;11(11):1117. https://doi.org/10.1002/cmdc.201600182
- Daina A, Michielin O, Zoete V. SwissADME: A free web tool to evaluate pharmacokinetics, drug-likeness and medicinal chemistry friendliness of small molecules. Sci Rep. 2017;7(1):1-13. https://doi.org/10.1038/s41598-016-0028-x
- Ye H, Ye L, Kang H, Zhang D, Tao L, Tang K, et al. HIT: Linking herbal active ingredients to targets. Nucleic Acids Res. 2011;39(SUPPL. 1):1055-9.
- Ding H, Takigawa I, Mamitsuka H, Zhu S. Similarity-basedmachine learning methods for predicting drug-target interactions: A brief review. Brief Bioinform. 2013;15(5):734-47. https://doi.org/10.1093/bib/bbt056
- Lengauer T, Rarey M. Computational methods for biomolecular docking. Curr Opin Struct Biol. 1996;6(3):402-6. https://doi.org/10.1016/S0959-440X(96)80061-3
- Vidal D, Garcia-Serna R, Mestres J. Ligand-Based Approaches to In Silico Pharmacology. In: Bajorath J, editor. Chemoinformatics and Computational Chemical Biology. 1st ed. Totowa: Humana Press; 2010. p. 489-502.
- Liu X, Ouyang S, Yu B, Liu Y, Huang K, Gong J, et al. PharmMapper server: A web server for potential drug target identification using pharmacophore mapping approach. Nucleic Acids Res. 2010;38(SUPPL. 2):5-7.
- Fang J, Liu C, Wang Q, Lin P, Cheng F. In silico polypharmacology of natural products. Brief Bioinform. 2017;19(6):1153-71.
- Subramanian A, Tamayo P, Mootha VK, Mukherjee S, Ebert BL, Gillette MA, et al. Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles. Proc Natl Acad Sci U S A. 2005;102(43):15545-50. https://doi.org/10.1073/pnas.0506580102
- Gene Ontology Consortium. The Gene Ontology (GO) database and informatics resource. Nucleic Acids Res. 2004;32(suppl_1:D258-61. https://doi.org/10.1093/nar/gkh036
- Ogata H, Goto S, Sato K, Fujibuchi W, Bono H, Kanehisa M. KEGG: Kyoto encyclopedia of genes and genomes. Nucleic Acids Res. 1999;27(1):29-34. https://doi.org/10.1093/nar/27.1.29
- Hamosh A, Scott AF, Amberger JS, Bocchini CA, McKusick VA. Online Mendelian Inheritance in Man (OMIM), a knowledgebase of human genes and genetic disorders. Nucleic Acids Res. 2005;33(suppl_1:D514-7.
- Fu X, Mervin LH, Li X, Yu H, Li J, Mohamad Zobir SZ, et al. Toward Understanding the Cold, Hot, and Neutral Nature of Chinese Medicines Using in Silico Mode-of-Action Analysis. J Chem Inf Model. 2017;57(3):468-83. https://doi.org/10.1021/acs.jcim.6b00725
- Wang X, Wu M, Lai X, Zheng J, Hu M, Li Y, et al. Network Pharmacology to Uncover the Biological Basis of Spleen Qi Deficiency Syndrome and Herbal Treatment. Oxid Med Cell Longev. 2020;2974268:1-20.
- Lee WY, Lee CY, Kim CE, Kim JH. Investigating the Biomarkers of the Sasang Constitution via Network Pharmacology Approach. Evidence-based Complement Altern Med. 2021;6665130:1-10.
- Park SC, Trinh TA, Lee WY, Baek JY, Lee S, Choi K, et al. Effects of estrogen inhibition formula herbal mixture for danazol-induced precocious puberty in female rats: an experimental study with network pharmacology. Integr Med Res. 2021;10(3):1-9. https://doi.org/10.30564/jim.v10i2.3365
- Park SY, Park JH, Kim HS, Lee CY, Lee HJ, Kang KS, et al. Systems-level mechanisms of action of Panax ginseng: a network pharmacological approach. J Ginseng Res. 2018;42(1):98-106. https://doi.org/10.1016/j.jgr.2017.09.001
- Li D, Lv B, Wang D, Xu D, Qin S, Zhang Y, et al. Network Pharmacology and Bioactive Equivalence Assessment Integrated Strategy Driven Q-markers Discovery for Da-Cheng-Qi Decoction to Attenuate Intestinal Obstruction. Phytomedicine. 2020;72(153236):1-9.
- Zhang T, Bai G, Han Y, Xu J, Gong S, Li Y, et al. The method of quality marker research and quality evaluation of traditional Chinese medicine based on drug properties and effect characteristics. Phytomedicine [Internet]. 2018;44(15):204-11. Available from: https://doi.org/10.1016/j.phymed.2018.02.009
- Yang W, Zhang Y, Wu W, Huang L, Guo D, Liu C. Approaches to establish Q-markers for the quality standards of traditional Chinese medicines. Acta Pharm Sin B [Internet]. 2017;7(4):439-46. Available from: http://dx.doi.org/10.1016/j.apsb.2017.04.012
- Lee W-Y, Lee C-Y, Kim C-E. Predicting activatory and inhibitory drug-target interactions based on mol2vec and genetically perturbed transcriptomes. bioRxiv. 2021.
- Kim S, Choi Y, Jung I-C, Lee MY, Yang C. A Review on the Concept Establishment of Stagnation Syndrome. Korean Soc Orient Neuropsychiatry. 2020;31(2):121-33.