Please use this identifier to cite or link to this item: https://dspace.ctu.edu.vn/jspui/handle/123456789/54686
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dc.contributor.authorLê, Minh Trí-
dc.contributor.authorHuỳnh, Nam Hải-
dc.contributor.authorThái, Khắc Minh-
dc.date.accessioned2021-06-09T08:05:57Z-
dc.date.available2021-06-09T08:05:57Z-
dc.date.issued2018-
dc.identifier.issn0866-7861-
dc.identifier.urihttps://dspace.ctu.edu.vn/jspui/handle/123456789/54686-
dc.description.abstractin view that Arginase 2, as a binuclear manganese métallo enzyme that catalyzes hydrolysis of L-arginine to urea and L-omithine, consequently any increase in arginase activity certainly leads to a variety of diseases including atherosclerosis, pulmonary hypertension, erectile dysfunction, and so, inhibiting arginase is an effective way to treat these diseases,... as in silico models, namely binary QSAR, 3D-pharmacophore and molecular docking modellings were developed for the detection of novel arginase inhibitors. Docking results demonstrated the important role of hydrogen bond donor groups such as hydroxyl, amino and carboxyl group toward Asp124, His126, Asp234 inARG-1 and Asp143, His120, Asp253 in ARG-2. The 3D-pharmacophore models were created based on arginase 2 inhibitors each possessed of 2 hydrophobic centers, 2 hydrogen bond donor and one hydrogen bond receptors with the sensitivity, the specificity and prediction ability were 0.88; 0.93; 0.91, respectively. Finally, in silico models were applied to screen 295,232 structures from 4 database: ZINC, Drug bank, TCM and Natural products to indentify 6 compounds practically considerable as potential arginase 2 inhibitors.vi_VN
dc.language.isovivi_VN
dc.relation.ispartofseriesTạp chí Dược học;Số 511 .- Tr.7-10-
dc.subjectArginase 2vi_VN
dc.subjectIn silicovi_VN
dc.subjectBinary QSARvi_VN
dc.subject3D-Pharmacophorevi_VN
dc.subjectMolecular dockingvi_VN
dc.titleSàng lọc các chất có hoạt tính ức chế enzym arginase 2 bằng phương pháp in silicovi_VN
dc.typeArticlevi_VN
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