These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
220 related articles for article (PubMed ID: 16487571)
1. 3D QSAR studies of dioxins and dioxin-like compounds using CoMFA and CoMSIA. Ashek A; Lee C; Park H; Cho SJ Chemosphere; 2006 Oct; 65(3):521-9. PubMed ID: 16487571 [TBL] [Abstract][Full Text] [Related]
2. 3D QSAR studies on T-type calcium channel blockers using CoMFA and CoMSIA. Doddareddy MR; Jung HK; Cha JH; Cho YS; Koh HY; Chang MH; Pae AN Bioorg Med Chem; 2004 Apr; 12(7):1613-21. PubMed ID: 15028254 [TBL] [Abstract][Full Text] [Related]
3. Docking-based three-dimensional quantitative structure-activity relationship (3D-QSAR) predicts binding affinities to aryl hydrocarbon receptor for polychlorinated dibenzodioxins, dibenzofurans, and biphenyls. Yuan J; Pu Y; Yin L Environ Toxicol Chem; 2013 Jul; 32(7):1453-8. PubMed ID: 23424013 [TBL] [Abstract][Full Text] [Related]
4. Three-dimensional quantitative structure-activity relationships of dioxins and dioxin-like compounds: model validation and Ah receptor characterization. Waller CL; McKinney JD Chem Res Toxicol; 1995 Sep; 8(6):847-58. PubMed ID: 7492734 [TBL] [Abstract][Full Text] [Related]
5. Computational Analysis of CRTh2 receptor antagonist: A Ligand-based CoMFA and CoMSIA approach. Babu S; Sohn H; Madhavan T Comput Biol Chem; 2015 Jun; 56():109-21. PubMed ID: 25935115 [TBL] [Abstract][Full Text] [Related]
6. Insight into the structural requirements of urokinase-type plasminogen activator inhibitors based on 3D QSAR CoMFA/CoMSIA models. Bhongade BA; Gadad AK J Med Chem; 2006 Jan; 49(2):475-89. PubMed ID: 16420035 [TBL] [Abstract][Full Text] [Related]
7. QSAR study of a large set of 3-pyridyl ethers as ligands of the alpha4beta2 nicotinic acetylcholine receptor. Zhang H; Li H; Ma Q J Mol Graph Model; 2007 Jul; 26(1):226-35. PubMed ID: 17208024 [TBL] [Abstract][Full Text] [Related]
8. QSAR models for predicting toxicity of polychlorinated dibenzo-p-dioxins and dibenzofurans using quantum chemical descriptors. Diao J; Li Y; Shi S; Sun Y; Sun Y Bull Environ Contam Toxicol; 2010 Aug; 85(2):109-15. PubMed ID: 20628729 [TBL] [Abstract][Full Text] [Related]
9. CoMFA and CoMSIA 3D-QSAR analysis of diaryloxy-methano-phenanthrene derivatives as anti-tubercular agents. Shagufta ; Kumar A; Panda G; Siddiqi MI J Mol Model; 2007 Jan; 13(1):99-109. PubMed ID: 16858589 [TBL] [Abstract][Full Text] [Related]
10. Modification of polychlorinated phenols and evaluation of their toxicity, biodegradation and bioconcentration using three-dimensional quantitative structure-activity relationship models. Tong L; Guo L; Lv X; Li Y J Mol Graph Model; 2017 Jan; 71():1-12. PubMed ID: 27825025 [TBL] [Abstract][Full Text] [Related]
11. CoMFA and CoMSIA 3D QSAR analysis on N1-arylsulfonylindole compounds as 5-HT6 antagonists. Doddareddy MR; Cho YS; Koh HY; Pae AN Bioorg Med Chem; 2004 Aug; 12(15):3977-85. PubMed ID: 15246074 [TBL] [Abstract][Full Text] [Related]
12. 3D-QSAR analysis of human immunodeficiency virus entry-1 inhibitors by CoMFA and CoMSIA. Pirhadi S; Ghasemi JB Eur J Med Chem; 2010 Nov; 45(11):4897-903. PubMed ID: 20810190 [TBL] [Abstract][Full Text] [Related]
13. Docking and 3D-QSAR studies on the Ah receptor binding affinities of polychlorinated biphenyls (PCBs), dibenzo-p-dioxins (PCDDs) and dibenzofurans (PCDFs). Li F; Li X; Liu X; Zhang L; You L; Zhao J; Wu H Environ Toxicol Pharmacol; 2011 Nov; 32(3):478-85. PubMed ID: 22004969 [TBL] [Abstract][Full Text] [Related]
14. 3D QSAR and molecular docking studies of benzimidazole derivatives as hepatitis C virus NS5B polymerase inhibitors. Patel PD; Patel MR; Kaushik-Basu N; Talele TT J Chem Inf Model; 2008 Jan; 48(1):42-55. PubMed ID: 18076152 [TBL] [Abstract][Full Text] [Related]
15. 3D-QSAR comparative molecular field analysis on opioid receptor antagonists: pooling data from different studies. Peng Y; Keenan SM; Zhang Q; Kholodovych V; Welsh WJ J Med Chem; 2005 Mar; 48(5):1620-9. PubMed ID: 15743203 [TBL] [Abstract][Full Text] [Related]
16. 3D-QSAR CoMFA/CoMSIA models based on theoretical active conformers of HOE/BAY-793 analogs derived from HIV-1 protease inhibitor complexes. da Cunha EF; Sippl W; de Castro Ramalho T; Ceva Antunes OA; de Alencastro RB; Albuquerque MG Eur J Med Chem; 2009 Nov; 44(11):4344-52. PubMed ID: 19616874 [TBL] [Abstract][Full Text] [Related]
17. Mapping the binding site of a large set of quinazoline type EGF-R inhibitors using molecular field analyses and molecular docking studies. Hou T; Zhu L; Chen L; Xu X J Chem Inf Comput Sci; 2003; 43(1):273-87. PubMed ID: 12546563 [TBL] [Abstract][Full Text] [Related]
18. Structure based 3D-QSAR studies of Interleukin-2 inhibitors: Comparing the quality and predictivity of 3D-QSAR models obtained from different alignment methods and charge calculations. Halim SA; Zaheer-ul-Haq Chem Biol Interact; 2015 Aug; 238():9-24. PubMed ID: 26051521 [TBL] [Abstract][Full Text] [Related]
19. CoMFA and CoMSIA 3D-QSAR studies on quionolone caroxylic acid derivatives inhibitors of HIV-1 integrase. Lu P; Wei X; Zhang R Eur J Med Chem; 2010 Aug; 45(8):3413-9. PubMed ID: 20488589 [TBL] [Abstract][Full Text] [Related]
20. Models of polychlorinated dibenzodioxins, dibenzofurans, and biphenyls binding affinity to the aryl hydrocarbon receptor developed using (13)c NMR data. Beger RD; Wilkes JG J Chem Inf Comput Sci; 2001; 41(5):1322-9. PubMed ID: 11604033 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]