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dc.contributor.authorUgbe, Fabian Auduvi
dc.contributor.otherShallangwa, Gideon Adamuvi
dc.contributor.otherUzairu, Adamuvi
dc.contributor.otherAbdulkadir, Ibrahimvi
dc.date.accessioned2023-03-31T02:17:55Z-
dc.date.available2023-03-31T02:17:55Z-
dc.date.issued2022-
dc.identifier.issn2522-8307vi
dc.identifier.urihttp://tailieuso.tlu.edu.vn/handle/DHTL/12845-
dc.description.abstractTheoretical modeling of thirty-six arylimidamide-azole derivatives was conducted to establish a quantitative relationship between their structures and their inhibitory activities. As a result, a five-descriptor QSAR model was built (Eq. 13) with the descriptors well described in Table 4. The outcome of the internal and external validation assessment conducted on the built model is available in Table 5. The computed descriptors, observed activities (pIC50), and the predicted activities together with their residuals are presented in Table 6. Also, a plot of predicted activities versus experimental activities for the training set and test set is shown in Fig. 1, while Fig. 2 shows the plot of standardized residuals against experimental activities (pIC50).vi
dc.description.urihttps://link.springer.com/article/10.1186/s42269-022-00874-1vi
dc.languageen_USvi
dc.relation.ispartofseriesBulletin of the National Research Centre, Volume 46 (2022), Article number: 189vi
dc.subjectArylimidamide-azolevi
dc.subjectDFTvi
dc.subjectLeishmaniasisvi
dc.subjectMolecular dockingvi
dc.subjectPharmacokineticsvi
dc.subject2-D QSARvi
dc.subject3-D QSARvi
dc.titleA combined 2-D and 3-D QSAR modeling, molecular docking study, design, and pharmacokinetic profiling of some arylimidamide-azole hybrids as superior L. donovani inhibitorsvi
dc.typeBBvi
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