Note! Please note that this article is currently in the "Article in Press" stage and is not the final "Version of record". While it has been accepted, copy-edited, and formatted, however, it is still undergoing proofreading and corrections by the authors. Therefore, the text may still change before the final publication. Although "Articles in Press" may not have all bibliographic details available, the DOI and the year of online publication can still be used to cite them. The article title, DOI, publication year, and author(s) should all be included in the citation format. Once the final "Version of record" becomes available the "Article in Press" will be replaced by that.
[1]
Koriem, K. Proteomic approach in human health and disease: Preventive and cure studies. Asian Pac. J. Trop. Biomed., 2018, 8(4), 226-236.
[http://dx.doi.org/10.4103/2221-1691.231285]
[http://dx.doi.org/10.4103/2221-1691.231285]
[2]
Koriem, K.M.M. Protective effect of natural products and hormones in colon cancer using metabolome: A physiological overview. Asian Pac. J. Trop. Biomed., 2017, 7(10), 957-966.
[http://dx.doi.org/10.1016/j.apjtb.2017.09.002]
[http://dx.doi.org/10.1016/j.apjtb.2017.09.002]
[3]
Koriem, K.M.M. Lipidome is lipids regulator in gastrointestinal tract and it is a life collar in COVID-19: A review. World J. Gastroenterol., 2021, 27(1), 37-54.
[http://dx.doi.org/10.3748/wjg.v27.i1.37] [PMID: 33505149]
[http://dx.doi.org/10.3748/wjg.v27.i1.37] [PMID: 33505149]
[4]
Chu, Y.; Shan, X.; Chen, T.; Jiang, M.; Wang, Y.; Wang, Q.; Salahub, D.R.; Xiong, Y.; Wei, D.Q. DTI-MLCD: Predicting drug-target interactions using multi-label learning with community detection method. Brief. Bioinform., 2021, 22(3), bbaa205.
[http://dx.doi.org/10.1093/bib/bbaa205] [PMID: 32964234]
[http://dx.doi.org/10.1093/bib/bbaa205] [PMID: 32964234]
[5]
Lin, S.; Wang, Y.; Zhang, L.; Chu, Y.; Liu, Y.; Fang, Y.; Jiang, M.; Wang, Q.; Zhao, B.; Xiong, Y.; Wei, D.Q. MDF-SA-DDI: Predicting drug–drug interaction events based on multi-source drug fusion, multi-source feature fusion and transformer self-attention mechanism. Brief. Bioinform., 2022, 23(1), bbab421.
[http://dx.doi.org/10.1093/bib/bbab421] [PMID: 34671814]
[http://dx.doi.org/10.1093/bib/bbab421] [PMID: 34671814]
[6]
Wörheide, M.A.; Krumsiek, J.; Kastenmüller, G.; Arnold, M. Multi-omics integration in biomedical research – A metabolomics-centric review. Anal. Chim. Acta, 2021, 1141, 144-162.
[http://dx.doi.org/10.1016/j.aca.2020.10.038] [PMID: 33248648]
[http://dx.doi.org/10.1016/j.aca.2020.10.038] [PMID: 33248648]
[7]
Heath, J.R.; Ribas, A.; Mischel, P.S. Single-cell analysis tools for drug discovery and development. Nat. Rev. Drug Discov., 2016, 15(3), 204-216.
[http://dx.doi.org/10.1038/nrd.2015.16] [PMID: 26669673]
[http://dx.doi.org/10.1038/nrd.2015.16] [PMID: 26669673]
[8]
Fox, J.T.; Myung, K. Cell-based high-throughput screens for the discovery of chemotherapeutic agents. Oncotarget, 2012, 3(5), 581-585.
[http://dx.doi.org/10.18632/oncotarget.513] [PMID: 22653910]
[http://dx.doi.org/10.18632/oncotarget.513] [PMID: 22653910]
[9]
Amin, S.; Rattner, J.; Keramati, M.R.; Farshidfar, F.; McNamara, M.G.; Knox, J.J.; Kopciuk, K.; Vogel, H.J.; Bathe, O.F. A strategy for early detection of response to chemotherapy drugs based on treatment-related changes in the metabolome. PLoS One, 2019, 14(4), e0213942.
[http://dx.doi.org/10.1371/journal.pone.0213942] [PMID: 30939138]
[http://dx.doi.org/10.1371/journal.pone.0213942] [PMID: 30939138]
[10]
Xu, T.; Zhao, H.; Wang, M.; Chow, A.; Fang, M. Metabolomics and in silico docking-directed discovery of small-molecule enzyme targets. Anal. Chem., 2021, 93(6), 3072-3081.
[http://dx.doi.org/10.1021/acs.analchem.0c03684] [PMID: 33541075]
[http://dx.doi.org/10.1021/acs.analchem.0c03684] [PMID: 33541075]
[11]
Zampieri, M.; Zimmermann, M.; Claassen, M.; Sauer, U. Nontargeted metabolomics reveals the multilevel response to antibiotic perturbations. Cell Rep., 2017, 19(6), 1214-1228.
[http://dx.doi.org/10.1016/j.celrep.2017.04.002] [PMID: 28494870]
[http://dx.doi.org/10.1016/j.celrep.2017.04.002] [PMID: 28494870]
[12]
Najm, F.J.; Madhavan, M.; Zaremba, A.; Shick, E.; Karl, R.T.; Factor, D.C.; Miller, T.E.; Nevin, Z.S.; Kantor, C.; Sargent, A.; Quick, K.L.; Schlatzer, D.M.; Tang, H.; Papoian, R.; Brimacombe, K.R.; Shen, M.; Boxer, M.B.; Jadhav, A.; Robinson, A.P.; Podojil, J.R.; Miller, S.D.; Miller, R.H.; Tesar, P.J. Drug-based modulation of endogenous stem cells promotes functional remyelination in vivo. Nature, 2015, 522(7555), 216-220.
[http://dx.doi.org/10.1038/nature14335] [PMID: 25896324]
[http://dx.doi.org/10.1038/nature14335] [PMID: 25896324]
[13]
Pushpakom, S.; Iorio, F.; Eyers, P.A.; Escott, K.J.; Hopper, S.; Wells, A.; Doig, A.; Guilliams, T.; Latimer, J.; McNamee, C.; Norris, A.; Sanseau, P.; Cavalla, D.; Pirmohamed, M. Drug repurposing: Progress, challenges and recommendations. Nat. Rev. Drug Discov., 2019, 18(1), 41-58.
[http://dx.doi.org/10.1038/nrd.2018.168] [PMID: 30310233]
[http://dx.doi.org/10.1038/nrd.2018.168] [PMID: 30310233]
[14]
Wages, P.A.; Kim, H.Y.H.; Korade, Z.; Porter, N.A. Identification and characterization of prescription drugs that change levels of 7-dehydrocholesterol and desmosterol. J. Lipid Res., 2018, 59(10), 1916-1926.
[http://dx.doi.org/10.1194/jlr.M086991] [PMID: 30087204]
[http://dx.doi.org/10.1194/jlr.M086991] [PMID: 30087204]
[15]
Geeraerts, S.L.; Kampen, K.R.; Rinaldi, G.; Gupta, P.; Planque, M.; Louros, N.; Heylen, E.; De Cremer, K.; De Brucker, K.; Vereecke, S.; Verbelen, B.; Vermeersch, P.; Schymkowitz, J.; Rousseau, F.; Cassiman, D.; Fendt, S.M.; Voet, A.; Cammue, B.P.A.; Thevissen, K.; De Keersmaecker, K. Repurposing the antidepressant sertraline as SHMT inhibitor to suppress serine/glycine synthesis-addicted breast tumor growth. Cancer Ther., 2021, 20(1), 50-63.
[http://dx.doi.org/10.1158/1535-7163.MCT-20-0480] [PMID: 33203732]
[http://dx.doi.org/10.1158/1535-7163.MCT-20-0480] [PMID: 33203732]