97 related articles for article (PubMed ID: 16970396)
1. Virtual screening for aryl hydrocarbon receptor binding prediction.
Lo Piparo E; Koehler K; Chana A; Benfenati E
J Med Chem; 2006 Sep; 49(19):5702-9. PubMed ID: 16970396
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Structural and chemical basis for enhanced affinity and potency for a large series of estrogen receptor ligands: 2D and 3D QSAR studies.
Salum Lde B; Polikarpov I; Andricopulo AD
J Mol Graph Model; 2007 Sep; 26(2):434-42. PubMed ID: 17349808
[TBL] [Abstract][Full Text] [Related]
4. Multimode ligand binding in receptor site modeling: implementation in CoMFA.
Lukacova V; Balaz S
J Chem Inf Comput Sci; 2003; 43(6):2093-105. PubMed ID: 14632461
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Theoretical study of the quantitative structure-activity relationships for the toxicity of dibenzo-p-dioxins.
Zhao YY; Tao FM; Zeng EY
Chemosphere; 2008 Aug; 73(1):86-91. PubMed ID: 18589475
[TBL] [Abstract][Full Text] [Related]
7. Enhancement of ordinal CoMFA by ridge logistic partial least squares.
Ohgaru T; Shimizu R; Okamoto K; Kawashita N; Kawase M; Shirakuni Y; Nishikiori R; Takagi T
J Chem Inf Model; 2008 Apr; 48(4):910-7. PubMed ID: 18338844
[TBL] [Abstract][Full Text] [Related]
8. Human aryl-hydrocarbon receptor and its interaction with dioxin and physiological ligands investigated by molecular modelling and docking simulations.
Salzano M; Marabotti A; Milanesi L; Facchiano A
Biochem Biophys Res Commun; 2011 Sep; 413(2):176-81. PubMed ID: 21871440
[TBL] [Abstract][Full Text] [Related]
9. CoMFA and HQSAR studies on 6,7-dimethoxy-4-pyrrolidylquinazoline derivatives as phosphodiesterase10A inhibitors.
Kulkarni SS; Patel MR; Talele TT
Bioorg Med Chem; 2008 Apr; 16(7):3675-86. PubMed ID: 18299198
[TBL] [Abstract][Full Text] [Related]
10. Combinatorial QSAR modeling of specificity and subtype selectivity of ligands binding to serotonin receptors 5HT1E and 5HT1F.
Wang XS; Tang H; Golbraikh A; Tropsha A
J Chem Inf Model; 2008 May; 48(5):997-1013. PubMed ID: 18470978
[TBL] [Abstract][Full Text] [Related]
11. A novel method for protein-ligand binding affinity prediction and the related descriptors exploration.
Li S; Xi L; Wang C; Li J; Lei B; Liu H; Yao X
J Comput Chem; 2009 Apr; 30(6):900-9. PubMed ID: 18785151
[TBL] [Abstract][Full Text] [Related]
12. Surface descriptors for protein-ligand affinity prediction.
Zamora I; Oprea T; Cruciani G; Pastor M; Ungell AL
J Med Chem; 2003 Jan; 46(1):25-33. PubMed ID: 12502357
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Hologram quantitative structure-activity relationships for a series of farnesoid X receptor activators.
Honorio KM; Garratt RC; Andricopulo AD
Bioorg Med Chem Lett; 2005 Jun; 15(12):3119-25. PubMed ID: 15893927
[TBL] [Abstract][Full Text] [Related]
15. Structure-based CoMFA as a predictive model - CYP2C9 inhibitors as a test case.
Yasuo K; Yamaotsu N; Gouda H; Tsujishita H; Hirono S
J Chem Inf Model; 2009 Apr; 49(4):853-64. PubMed ID: 19391630
[TBL] [Abstract][Full Text] [Related]
16. Autocorrelation of molecular electrostatic potential surface properties combined with partial least squares analysis as new strategy for the prediction of the activity of human A(3) adenosine receptor antagonists.
Moro S; Bacilieri M; Cacciari B; Spalluto G
J Med Chem; 2005 Sep; 48(18):5698-704. PubMed ID: 16134938
[TBL] [Abstract][Full Text] [Related]
17. In silico prediction of receptor-mediated environmental toxic phenomena-application to endocrine disruption.
Lill MA; Dobler M; Vedani A
SAR QSAR Environ Res; 2005; 16(1-2):149-69. PubMed ID: 15844448
[TBL] [Abstract][Full Text] [Related]
18. 3D-QSAR study of 20 (S)-camptothecin analogs.
Lu AJ; Zhang ZS; Zheng MY; Zou HJ; Luo XM; Jiang HL
Acta Pharmacol Sin; 2007 Feb; 28(2):307-14. PubMed ID: 17241535
[TBL] [Abstract][Full Text] [Related]
19. QSAR models for the human H(+)/peptide symporter, hPEPT1: affinity prediction using alignment-independent descriptors.
Larsen SB; Jørgensen FS; Olsen L
J Chem Inf Model; 2008 Jan; 48(1):233-41. PubMed ID: 18092768
[TBL] [Abstract][Full Text] [Related]
20. Receptor-based 3D-QSAR studies of checkpoint Wee1 kinase inhibitors.
Wichapong K; Lindner M; Pianwanit S; Kokpol S; Sippl W
Eur J Med Chem; 2009 Apr; 44(4):1383-95. PubMed ID: 18976834
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
