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dc.contributor.authorSalim Maulana, Agus
dc.contributor.authorWulansari, Kiki
dc.contributor.authorAnwar Zhelsiana, Devy
dc.contributor.authorSri Sulasmi, Wiwin
dc.contributor.authorSantoso, Broto
dc.date.accessioned2016-10-21T09:21:58Z
dc.date.available2016-10-21T09:21:58Z
dc.date.issued2016-08-27
dc.identifier.citationAlexiou P., Pegklidou K, Chatzopoulou M., Nicolaou I. and Demopoulos V.J., 2009, Aldose Reductase Enzyme and its Implication to Major Health Problems of the 21st Century, Current Medicinal Chemistry, 16, 734-752. Antony danVijayan. 2015. Identification of Novel Aldose Reductase Inhibitors from Spices: A Molecular Docking and Simulation Study. PLOS ONE 10(9): e0138186. Ferreira, Leonardo G., Ricardo N. dos Santos, Glaucius Oliva and Andricopulo A.D. 2015. Molecular Docking and Structure-Based Drug Design Strategies.Molecules, 20, 13384-13421. Grosdidier A, Zoete V, and Michielin O. 2007. EADock: docking of small molecules into protein active sites with a multiobjective evolutionary optimization. Proteins; 67:1010–25 International Diabetes Federation. 2014. IDF Diabetes Atlas, 6th ed. Brussels, Belgium: International Diabetes Federation,http://www.idf.org/diabetes atlas Mukesh B. and Rakesh K. 2011. Molecular Docking: A Review, IJRAP. 2 (6) 1746-1751, Jaipur National University, India. Ramana K.V. and Srivastava S.K. 2010. Aldose Reductase: A Novel Therapeutic Target for Inflammatory Pathologies. Int J. Biochem. Cell Biol. 42(1): 17–20. doi:10.1016/j.biocel.2009.09.009 Stefek M., SoltesovaPrnova M., Majekova M., Rechlin C., Heine A., danKlebe G., 2015, Identification of Novel Aldose Reductase Inhibitors Based on CarboxymethylatedMercapto-Triazino- Indole Scaffold, J. Medicinal Chemistry. 58(6):2649-57. doi: 10.1021/jm5015814 Trott O. and Olson A.J. (2010). AutoDockVina: improving the speed and accuracy of docking with a new scoring function, efficient optimization and multithreading.J. Computational Chemistry, 31(2), 455–461. http://doi.org/10.1002/jcc.21334in_ID
dc.identifier.issn2407-9189
dc.identifier.urihttp://hdl.handle.net/11617/7743
dc.description.abstractAldosereductaseisaldo-ketoreductaseenzyme that convert glucoseto sorbitol and fructosebypolyolpathway. Accumulation of sorbitol andoxidative stress dueto changes in the ratio of NADPH/NADP+ and NADH/NAD+ cause some complication of secondary diabetes. Development of aldosereductase inhibitor by algorithm moleculardocking could be expected togive some compounds that prevent complication of secondary diabetes. The method was done by using computer Acer Aspire 4736 with processor Intel Core 2 Duo. The internal RAM of the computeris 1GB and Windows 7 32bit as its operating system. The compounds that we used in this method were the active compound and the decoysligands as comparison from dude.docking.org, the 53N as the native ligand. Fidarestat, Alrestatin, Tolrestat, and Inhibitor IDD384 isused as the branded- drug compound. The docking results how edinteresting outcome which was several zerumbonderivates showed their binding affinity better than the native ligand and the other active compounds. The future research should use hardware with higher specification to prevent error.in_ID
dc.language.isoidin_ID
dc.publisherSTIKES Muhammadiyah Pekajanganin_ID
dc.subjectHuman aldosereductasein_ID
dc.subjectantidiabeticin_ID
dc.subjectPyRxin_ID
dc.subjectAutoDock-Vinain_ID
dc.subject4YU1in_ID
dc.subject53Nin_ID
dc.titleIdentifikasi Agen Antidiabetes Melalui Jalur Penghambatan Aldose Reductase Menggunakan Pyrxdengan Empat Algoritma Molecular Dockingin_ID
dc.typeArticlein_ID


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