CoreMine Medical has been used and referenced in the following research articles:

2024:

1. "In the first stage, the set of genes related to corona disease have been collected based on the literature. For this purpose, two databases; the CORMINE Medical online and DisGeNET have been used."

   Ali Ebrahimi and Farinaz Roshani. Systems biology approaches to identify driver genes and drug combinations for treating COVID-19. 2024 Jan 26;art no. 2257. doi: https://doi.org/10.1038/s41598-024-52484-8. PMID: 38278931. PMCID: PMC10817985.
2. "The Coremine Medical database was used to predict therapeutic drugs, and molecular docking was performed."

   Qin Jiang, Dan Xiao, Ao Wang, Qiong Yu, Ying Yin, Jingchong Wu, Yan Zhang, Tian Jin, Baicheng Kuang, Yegui Jia. CLEC4E upregulation in gastric cancer: A potential therapeutic target correlating with tumor-associated macrophages. 2024 Feb 28;10(5):e27172. doi: 10.1016/j.heliyon.2024.e27172. PMID: 38463883. PMCID: PMC10920739.
3. "We used the Coremine Medical database to identify genes related to DM, AD, and COVID-19."

   Dicson Sheeja Malar, Kanika Verma, Mani Iyer Prasanth, Tewin Tencomnao, James Michael Brimson. Network analysis-guided drug repurposing strategies targeting LPAR receptor in the interplay of COVID, Alzheimer's, and diabetes. 2024 Feb 21;14(1):4328. doi: 110.1038/s41598-024-55013-9. PMID: 38383841. PMCID: PMC10882047.
4. "The genes mentioned above were mapped to the Coremine Medical database to forecast prospective therapeutic Chinese medicines, and a "Chinese medicine-ingredient-target" network was constructed to screen for potential therapeutic targets."

   Tao Wang, Xinlei Zhang, Wenxin Liu, Fangli Ning, Xingling Hu, Lei Qin, Mengmeng Cui, Jinyue Yang, Shi Lv, Qian Wang. Identification of diagnostic molecules and potential traditional Chinese medicine components for Alzheimer's disease by single cell RNA sequencing combined with a systematic framework for network pharmacology. 2024 Jan 5:10:1335512. doi: 10.3389/fmed.2023.1335512 . PMID: 38249960. PMCID: PMC10799563.

2023:

5. "Finally, Enrichr's Drug Signature Database and Coremine Medical were used to predict the potential drugs associated with key genes."

   SZhuang Q, Zhang R, Li X, Ma D, Wang Y. Identification of the shared molecular mechanisms between major depressive disorder and COVID-19 from postmortem brain transcriptome analysis. Epub 2023 Nov 11. doi: 0.1016/j.jad.2023.11.030. PMID: 37956829.
6. "In addition, Comparative Toxicogenomics Database and Coremine Medical database were used to enrich clinical drugs and TCM of HBV-related HCC by the 6 key targets."

   Shenghao Li, Liyuan Hao, Xiaoyu Hu, Luya Li. A systematic study on the treatment of hepatitis B-related hepatocellular carcinoma with drugs based on bioinformatics and key target reverse network pharmacology and experimental verification. Infect Agent Cancer. 2023 Jul 1;18(1):41. doi: 10.1186/s13027-023-00520-z. PMID: 37393234. PMCID: PMC10315056.
7. "CoreMine database, Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP) database, and PubChem database were used to search the potential components corresponding to C5orf46 gene and tarditional Chinese medicine."

   Zhou YJ, Liu JM, Liu B, Wang ZX, Fan XY, Huang PZ, Huang YX, Sun JN, Chen QQ, Shen HM. [Significance of high expression of C5orf46 in gastric cancer and potential intervention of tarditional Chinese medicine based on bioinformatics, molecular docking, and cell experiments]. Zhongguo Zhong Yao Za Zhi. 2023 May;48(9):2368-2378. Chinese. PMID: 37282866.
8. "This study analyzed GEO microarray datasets and MS proteomics data using geWorkbench, CTD, and COREMINE to identify differentially expressed genes associated with MS disease."

   Dadashkhan S, Mirmotalebisohi SA, Poursheykhi H, Sameni M, Ghani S, Abbasi M, Kalantari S, Zali H. Deciphering crucial genes in multiple sclerosis pathogenesis and drug repurposing: A systems biology approach. J Proteomics. 2023 May 30;280:104890. doi: 10.1016/j.jprot.2023.104890. PMID: 36966969.
9. "Thirteen traditional Chinese medicines with the effect of preventing the transformation of idiopathic membranous nephropathy to end-stage renal disease were screened out from Coremine Medical database, including Ginseng Radix et Rhizoma, Lycopi Herba, and Gardeniae Fructus, which were included in the Chinese Pharmacopoeia (2020 edition)."

   Jia M, Han SS, Mao YM, Wang Y. [Bioinformatics analysis and validation of key genes in transformation of idiopathic membranous nephropathy to end-stage renal disease and traditional Chinese medicines for prevention and treatment]. Zhongguo Zhong Yao Za Zhi. 2023 Feb;48(3):797-810. Chinese. doi: 10.19540/j.cnki.cjcmm.20220901.501. PMID: 36872244.

2022:

10. "Ferroptosis scoring system was established based on the Boruta algorithm, and then, core compounds were screened, and binding sites were predicted by Coremine Medical database."

    Ma J, Li C, Liu T, Zhang L, Wen X, Liu X, Fan W. Identification of Markers for Diagnosis and Treatment of Diabetic Kidney Disease Based on the Ferroptosis and Immune. Oxid Med Cell Longev. 2022 Nov 23;2022:9957172. doi: 10.1155/2022/9957172. PMID: 36466094; PMCID: PMC9712001.
11. "The IL1B, TLR2, and MI were input into the COREMINE online platform. The threshold was set as P < 0.05. The results demonstrated that dan shen, san qi, feng mi, yuan can e, can sha, san qi ye, san qi hua, and cha shu gen were identified as the potential traditional Chinese medicine (TCM) for the treatment of MI."

    Zhang Q, Guo Y, Zhang B, Liu H, Peng Y, Wang D, Zhang D. Identification of hub biomarkers of myocardial infarction by single-cell sequencing, bioinformatics, and machine learning. Front Cardiovasc Med. 2022 Jul 25;9:939972. doi: 10.3389/fcvm.2022.939972. PMID: 35958412; PMCID: PMC9357907.
12. "Based on key genes, the Herb and CoreMine databases were used to predict the target herbs and herbal ingredients."

    Jiang F, Zeng Z, Zhou X, Tan M, Zhang W, Li M, Zhang X, Song Y, Wei S, Lin F. Transcriptomic Analysis Uncovers Immunogenic Characteristics of Ferroptosis for Myocardial Infarction and Potential Therapeutic Prediction of Chinese Herbs. Evid Based Complement Alternat Med. 2022 May 25;2022:4918343. doi: 10.1155/2022/4918343. PMID: 35664944; PMCID: PMC9159883.
13. "Coremine Medical was applied to predict the Chinese medicinals acting on hub genes."

    Yun ZJ, Wang HJ, Yu YX, Sun ZY, Yao SK. [Screening of differentially expressed genes for colorectal cancer and prediction of potential traditional Chinese medicine: based on bioinformatics]. Zhongguo Zhong Yao Za Zhi. 2022 Mar;47(6):1666-1676. Chinese. doi: 10.19540/j.cnki.cjcmm.20211108.402. PMID: 35347966.
14. "Genes annotated as associated with pirfenidone and nintedanib treatment were identified using Coremine Medical."

    Wilson AC, Chiles J, Ashish S, Chanda D, Kumar PL, Mobley JA, Neptune ER, Thannickal VJ, McDonald MN. Integrated bioinformatics analysis identifies established and novel TGFβ1-regulated genes modulated by anti-fibrotic drugs. Sci Rep. 2022 Feb 23;12(1):3080. doi: 10.1038/s41598-022-07151-1. PMID: 35197532; PMCID: PMC8866468.
15. "Finally, CoreMine database was used to predict traditional Chinese medicine (TCM) by analyzing the DEGs that were not only related to UDCA response, but also related to the immune cell infiltration."

    10. Li L, Song Y, Chen X, Huang Y, Liu H. [Bioinformatic analysis of differentially expressed genes and immune cell infiltration in primary biliary cholangitis patients with poor response to ursodeoxycholic acid therapy]. Xi Bao Yu Fen Zi Mian Yi Xue Za Zhi. 2022 Jan;38(1):16-23. Chinese. PMID: 35078571.

2021:

16. "The Coremine Medical database was used to search for Chinese medicines corresponding to the key genes in the treatment of depression, and the network pharmacological analysis was performed on these Chinese medicines."

    Shi Y, Chen D, Ma S, Xu H, Deng L. Identification of Potential Biomarkers of Depression and Network Pharmacology Approach to Investigate the Mechanism of Key Genes and Therapeutic Traditional Chinese Medicine in the Treatment of Depression. Evid Based Complement Alternat Med. 2021 Dec 31;2021:2165632. doi: 10.1155/2021/2165632. PMID: 35003290; PMCID: PMC8741373.
17. "Then the key genes and the medical ontology information retrieval platform (Coremine Medical) were mapped against each other to single out the Chinese medicinals for the treatment of brain aging."

    Wu D, Wang X, Yang J, Wu Y, Liu YN, Xiu CK, Wang JL, Liu YQ, Lei Y. [Scr eening of key genes and pathways of brain aging and prediction of potential effective Chinese medicinals: based on bioinformatics]. Zhongguo Zhong Yao Za Zhi. 2021 Nov;46(21):5701-5709. Chinese. doi: 10.19540/j.cnki.cjcmm.20210702.402. PMID: 34951224.
18. "Moreover, the core genes and the medical ontology information retrieval platform(Coremine Medical) were mapped to each other to screen the traditional Chinese medicines and construct drug-active ingredient-target network."

    24. Cao Y, Kong LB, Huang X, Li XL, Chang JL, Gao Y. [Screening of key genes and pathways of ischemic stroke and prediction of traditional Chinese medicines based on bioinformatics]. Zhongguo Zhong Yao Za Zhi. 2021 Apr;46(7):1803-1812. Chinese. doi: 10.19540/j.cnki.cjcmm.20210218.401. PMID: 33982485.
19. "Initially, RAB5A and exosome secretion-related genes were gathered from bioinformatics tools, namely, CTD, COREMINE, and GeneMANIA; and published papers."

    Gorji-Bahri G, Moghimi HR, Hashemi A. RAB5A is associated with genes involved in exosome secretion: Integration of bioinformatics analysis and experimental validation. J Cell Biochem. 2021 Apr;122(3-4):425-441. doi: 10.1002/jcb.29871. Epub 2020 Nov 22. PMID: 33225526.

2020:

20. "Text mining conducted by Coremine Medical was used to visualize the connections among genes and pathways."

    Bian YY, Yang LL, Zhang B, Li W, Li ZJ, Li WL, Zeng L. Identification of key genes involved in post-traumatic stress disorder: Evidence from bioinformatics analysis. World J Psychiatry. 2020 Dec 19;10(12):286-298. doi: 10.5498/wjp.v10.i12.286. PMID: 33392005; PMCID: PMC7754529.
21. "Finally, the biological process of MMP1 was annotated using the CoreMine Medical Database."

    Zhou H, Xiang Q, Hu C, Zhang J, Zhang Q, Zhang R. Identification of MMP1 as a potential gene conferring erlotinib resistance in non-small cell lung cancer based on bioinformatics analyses. Hereditas. 2020 Jul 23;157(1):32. doi: 10.1186/s41065-020-00145-x . PMID: 32703314; PMCID: PMC7379796.
22. "Coremine Medical was used to analyze and systematically evaluate traditional Chinese medicines for treating key genes"

    Wu N, Mao XK, Wan ZP, Yu N, Li HS. [Bioinformatics analysis and systematic review of key genes and therapeutic traditional Chinese medicine of ulcerative colitis active stage]. Zhongguo Zhong Yao Za Zhi. 2020 Jun;45(11):2677-2686. Chinese. doi: 10.19540/j.cnki.cjcmm.20200115.501. PMID: 32627503.
23. "1,173 genes that may be related to the prognosis of liver cancer were mined from the CoreMine platform after merging and removing duplicates."

    Liu M, Liu X, Liu S, Xiao F, Guo E, Qin X, Wu L, Liang Q, Liang Z, Li K, Zhang D, Yang Y, Luo X, Lei L, Tan JHJ, Yin F, Zeng X. Big Data-Based Identification of Multi-Gene Prognostic Signatures in Liver Cancer. Front Oncol. 2020 May 28;10:847. doi: 10.3389/fonc.2020.00847. PMID: 32547951; PMCID: PMC7270198.
24. "Moreover, the core genes and the medical ontology information retrieval platform(Coremine Medical) were mapped to each other to screen the traditional Chinese medicines and its active ingredients for treating UC."

    Hu ZR, Zheng WJ, Yan Q, Hu WW, Sun XS. [Bioinformatic analysis of differentially expressed genes and Chinese medicine prediction for ulcerative colitis]. Zhongguo Zhong Yao Za Zhi. 2020 Apr;45(7):1684-1690. Chinese. doi: 10.19540/j.cnki.cjcmm.20191030.401. PMID: 32489050.
25. miRNAs characteristic of stem cells were selected through Coremine Medical text mining.
    Lai H, Zhang J, Zuo H, Liu H, Xu J, Feng Y, Lin Y, Mo X. Overexpression of miR-17 is correlated with liver metastasis in colorectal cancer. Medicine (Baltimore). 2020 Feb;99(9):e19265. doi: 10.1097/MD.0000000000019265. PMID: 32118734; PMCID: PMC7478658.
26. "Finally, we validate the selected feature gene sets using independent datasets and retrieve the cancer related information for these genes based on text mining through the Coremine Medical online database."

    Wang W, Xie G, Ren Z, Xie T, Li J. Gene Selection for the Discrimination of Colorectal Cancer. Curr Mol Med. 2020;20(6):415-428. doi: 10.2174/1566524019666191119105209. PMID: 31746296.

2019:

27. "Moreover, the Coremine Medical online database was employed to conduct the annotations of biological processes involving TIMP1, CRC, and UC."

    Huang R, Wang K, Gao L, Gao W. TIMP1 Is A Potential Key Gene Associated With The Pathogenesis And Prognosis Of Ulcerative Colitis-Associated Colorectal Cancer. Onco Targets Ther. 2019 Oct 30;12:8895-8904. doi: 10.2147/OTT.S222608. PMID: 31802901; PMCID: PMC6826183.
28. "Annotation of biological processes involving hubgenes was performed by consulting the Coremine Medical online database, the hubgenes included in the intersection of "stomach neoplasm" and "drug resistance" were analyzed successively."

    Lu L, Wu M, Lu Y, Zhao Z, Liu T, Fu W, Li W. MicroRNA-424 regulates cisplatin resistance of gastric cancer by targeting SMURF1 based on GEO database and primary validation in human gastric cancer tissues. Onco Targets Ther. 2019 Sep 17;12:7623-7636. doi: 10.2147/OTT.S208275. PMID: 31571913; PMCID: PMC6756437.
29. "To predict the hub genes of pristimerin, PharmMapper and the CoreMine database were used to identify 13 potential protein targets; protein-protein interaction, for which functional enrichment analyses were performed"

    Li Z, Hu C, Zhen Y, Pang B, Yi H, Chen X. Pristimerin inhibits glioma progression by targeting AGO2 and PTPN1 expression via miR-542-5p. Biosci Rep. 2019 May 14;39(5):BSR20182389. doi: 10.1042/BSR20182389. PMID: 31015365; PMCID: PMC6522714.
30. "Furthermore, bioinformatics and text mining performed by Coremine Medical confirmed that ITGA6 was significantly associated with ovarian cancer and drug resistance"

    Wei L, Yin F, Chen C, Li L. Expression of integrin α-6 is associated with multi drug resistance and prognosis in ovarian cancer. Oncol Lett. 2019 Apr;17(4):3974-3980. doi: 10.3892/ol.2019.10056. Epub 2019 Feb 20. PMID: 30930993; PMCID: PMC6425333.
31. "Text mining of gene function prediction was conducted by COREMINE."

    Bian Y, Yang L, Zhao M, Li Z, Xu Y, Zhou G, Li W, Zeng L. Identification of Key Genes and Pathways in Post-traumatic Stress Disorder Using Microarray Analysis. Front Psychol. 2019 Feb 27;10:302. doi: 10.3389/fpsyg.2019.00302. PMID: 30873067; PMCID: PMC6403462.

2017:

32. "Coremine Medical is an ideal product for generating an overview of a complex subject while allowing for the possibility to narrow the scope of the subject to specific details ranging from introductory sources to the latest scientific literatures. We used this tool to establish an overview of the complex relationship between germacrone, curdione, and furanodiene with breast cancer and found related information in health, medicine, and biology."

    Kong Q, Ma Y, Yu J, Chen X. Predicted molecular targets and pathways for germacrone, curdione, and furanodiene in the treatment of breast cancer using a bioinformatics approach. Sci Rep. 2017 Nov 14;7(1):15543. doi: 10.1038/s41598-017-15812-9. PMID: 29138518; PMCID: PMC5686110.

2016:

33. "CRP, FN1, S100A9, TF, ALB, VWF, APOC2, APOE, CD44, F2, GPX3 and ACTB proein were further verified related with platinum resistance by taking intersection analysis in the COREMINE database and TCGA."

    25. Wu WJ, Wang Q, Zhang W, Li L. [Identification and prognostic value of differentially expressed proteins of patients with platinum resistance epithelial ovarian cancer in serum]. Zhonghua Fu Chan Ke Za Zhi. 2016 Jul 25;51(7):515-23. Chinese. doi: 10.3760/cma.j.issn.0529-567X.2016.07.007. PMID: 27465871.

2011:

34. "We also performed data mining (DM) on MPM using three different tools (CoreMine, SNPs3D, and GeneProspector)."

    Melaiu O, Cristaudo A, Melissari E, Di Russo M, Bonotti A, Bruno R, Foddis R, Gemignani F, Pellegrini S, Landi S. A review of transcriptome studies combined with data mining reveals novel potential markers of malignant pleural mesothelioma. Mutat Res. 2012 Apr-Jun;750(2):132-140. doi: 10.1016/j.mrrev.2011.12.003. Epub 2011 Dec 15. PMID: 22198210.