126 related articles for article (PubMed ID: 22222003)
1. Pharmacophore modeling, 3D-QSAR studies, and in-silico ADME prediction of pyrrolidine derivatives as neuraminidase inhibitors.
Zhang J; Pan X; Wang C; Wang F; Li P; Xu W; He L
Chem Biol Drug Des; 2012 Mar; 79(3):353-9. PubMed ID: 22222003
[TBL] [Abstract][Full Text] [Related]
2. Molecular docking, 3D-QSAR studies, and in silico ADME prediction of p-aminosalicylic acid derivatives as neuraminidase inhibitors.
Zhang J; Shan Y; Pan X; Wang C; Xu W; He L
Chem Biol Drug Des; 2011 Oct; 78(4):709-17. PubMed ID: 21752201
[TBL] [Abstract][Full Text] [Related]
3. Docking and 3D-QSAR investigations of pyrrolidine derivatives as potent neuraminidase inhibitors.
Sun J; Mei H
Chem Biol Drug Des; 2012 May; 79(5):863-8. PubMed ID: 22251826
[TBL] [Abstract][Full Text] [Related]
4. Molecular docking and QSAR studies on substituted acyl(thio)urea and thiadiazolo [2,3-alpha] pyrimidine derivatives as potent inhibitors of influenza virus neuraminidase.
Sun J; Cai S; Mei H; Li J; Yan N; Wang Q; Lin Z; Huo D
Chem Biol Drug Des; 2010 Sep; 76(3):245-54. PubMed ID: 20626407
[TBL] [Abstract][Full Text] [Related]
5. Binding interaction analysis of the active site and its inhibitors for neuraminidase (N1 subtype) of human influenza virus by the integration of molecular docking, FMO calculation and 3D-QSAR CoMFA modeling.
Zhang Q; Yang J; Liang K; Feng L; Li S; Wan J; Xu X; Yang G; Liu D; Yang S
J Chem Inf Model; 2008 Sep; 48(9):1802-12. PubMed ID: 18707092
[TBL] [Abstract][Full Text] [Related]
6. 3D QSAR and docking study of flavone derivatives as potent inhibitors of influenza H1N1 virus neuraminidase.
Gao L; Zu M; Wu S; Liu AL; Du GH
Bioorg Med Chem Lett; 2011 Oct; 21(19):5964-70. PubMed ID: 21843936
[TBL] [Abstract][Full Text] [Related]
7. Pharmacophore modeling, quantitative structure-activity relationship analysis, and shape-complemented in silico screening allow access to novel influenza neuraminidase inhibitors.
Abu Hammad AM; Taha MO
J Chem Inf Model; 2009 Apr; 49(4):978-96. PubMed ID: 19341295
[TBL] [Abstract][Full Text] [Related]
8. Hyphenated 3D-QSAR statistical model-drug repurposing analysis for the identification of potent neuraminidase inhibitor.
Rohini K; Shanthi V
Cell Biochem Biophys; 2018 Sep; 76(3):357-376. PubMed ID: 29687225
[TBL] [Abstract][Full Text] [Related]
9. On three-dimensional holographic vector of atomic interaction field analysis for influenza neuraminidase inhibitors.
Li ZS; Sun JY; Liang GZ; Lu FL; Zhu WP; Zhang MJ; Zhang Y; Yang SB; Shu M; Chen GH; Lu TT
Chem Biol Drug Des; 2009 Feb; 73(2):236-43. PubMed ID: 19207426
[TBL] [Abstract][Full Text] [Related]
10. QSAR study of neuraminidase inhibitors based on heuristic method and radial basis function network.
Lü WJ; Chen YL; Ma WP; Zhang XY; Luan F; Liu MC; Chen XG; Hu ZD
Eur J Med Chem; 2008 Mar; 43(3):569-76. PubMed ID: 18255197
[TBL] [Abstract][Full Text] [Related]
11. A QSAR study on influenza neuraminidase inhibitors.
Verma RP; Hansch C
Bioorg Med Chem; 2006 Feb; 14(4):982-96. PubMed ID: 16213733
[TBL] [Abstract][Full Text] [Related]
12. Docking and 3D-QSAR studies of influenza neuraminidase inhibitors using three-dimensional holographic vector of atomic interaction field analysis.
Sun J; Cai S; Yan N; Mei H
Eur J Med Chem; 2010 Mar; 45(3):1008-14. PubMed ID: 19969399
[TBL] [Abstract][Full Text] [Related]
13. Multiple field three dimensional quantitative structure-activity relationship (MF-3D-QSAR).
Du QS; Huang RB; Wei YT; Du LQ; Chou KC
J Comput Chem; 2008 Jan; 29(2):211-9. PubMed ID: 17559075
[TBL] [Abstract][Full Text] [Related]
14. Combined pharmacophore and 3D-QSAR study on a series of Staphylococcus aureus Sortase A inhibitors.
Uddin R; Lodhi MU; Ul-Haq Z
Chem Biol Drug Des; 2012 Aug; 80(2):300-14. PubMed ID: 22553957
[TBL] [Abstract][Full Text] [Related]
15. Design, synthesis and biological evaluation of novel zanamivir derivatives as potent neuraminidase inhibitors.
Cheng LP; Wang TC; Yu R; Li M; Huang JW
Bioorg Med Chem Lett; 2018 Dec; 28(23-24):3622-3629. PubMed ID: 30389293
[TBL] [Abstract][Full Text] [Related]
16. Three-dimensional QSAR analyses of 1,3,4-trisubstituted pyrrolidine-based CCR5 receptor inhibitors.
Zhuo Y; Kong R; Cong XJ; Chen WZ; Wang CX
Eur J Med Chem; 2008 Dec; 43(12):2724-34. PubMed ID: 18538451
[TBL] [Abstract][Full Text] [Related]
17. Identification of potential influenza virus endonuclease inhibitors through virtual screening based on the 3D-QSAR model.
Kim J; Lee C; Chong Y
SAR QSAR Environ Res; 2009; 20(1-2):103-18. PubMed ID: 19343586
[TBL] [Abstract][Full Text] [Related]
18. 3D-QSAR studies of heterocyclic quinones with inhibitory activity on vascular smooth muscle cell proliferation using pharmacophore-based alignment.
Ryu CK; Lee Y; Park SG; You HJ; Lee RY; Lee SY; Choi S
Bioorg Med Chem; 2008 Nov; 16(22):9772-9. PubMed ID: 18930405
[TBL] [Abstract][Full Text] [Related]
19. 3D-QSAR studies on UDP-glucuronosyltransferase 2B7 substrates using the pharmacophore and VolSurf approaches.
Ako R; Dong D; Wu B
Xenobiotica; 2012 Sep; 42(9):891-900. PubMed ID: 22494439
[TBL] [Abstract][Full Text] [Related]
20. Discovery of potential new InhA direct inhibitors based on pharmacophore and 3D-QSAR analysis followed by in silico screening.
Lu XY; Chen YD; Jiang YJ; You QD
Eur J Med Chem; 2009 Sep; 44(9):3718-30. PubMed ID: 19428156
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
