284 related articles for article (PubMed ID: 18706326)
1. Computational study of histamine H3-receptor antagonist with support vector machines and three dimension quantitative structure activity relationship methods.
Chen HF
Anal Chim Acta; 2008 Aug; 624(2):203-9. PubMed ID: 18706326
[TBL] [Abstract][Full Text] [Related]
2. Insight into the metabolism rate of quinone analogues from molecular dynamics simulation and 3D-QSMR methods.
Chen HF; Wu MY; Wang Z; Wei DQ
Chem Biol Drug Des; 2007 Oct; 70(4):290-301. PubMed ID: 17937775
[TBL] [Abstract][Full Text] [Related]
3. Computational study of CCR5 antagonist with support vector machines and three dimensional quantitative structure activity relationship methods.
Chen Y; Li Z; Chen HF
Chem Biol Drug Des; 2010 Mar; 75(3):295-309. PubMed ID: 20331647
[TBL] [Abstract][Full Text] [Related]
4. Molecular modeling of histamine H3 receptor and QSAR studies on arylbenzofuran derived H3 antagonists.
Dastmalchi S; Hamzeh-Mivehroud M; Ghafourian T; Hamzeiy H
J Mol Graph Model; 2008 Jan; 26(5):834-44. PubMed ID: 17561422
[TBL] [Abstract][Full Text] [Related]
5. Application of validated QSAR models of D1 dopaminergic antagonists for database mining.
Oloff S; Mailman RB; Tropsha A
J Med Chem; 2005 Nov; 48(23):7322-32. PubMed ID: 16279792
[TBL] [Abstract][Full Text] [Related]
6. Structure-based 3D-QSAR studies on heteroarylpiperazine derivatives as 5-HT3 receptor antagonists.
Zhou YJ; Zhu LP; Tang Y; Ye DY
Eur J Med Chem; 2007 Jul; 42(7):977-84. PubMed ID: 17331624
[TBL] [Abstract][Full Text] [Related]
7. Methods for applying the quantitative structure-activity relationship paradigm.
Esposito EX; Hopfinger AJ; Madura JD
Methods Mol Biol; 2004; 275():131-214. PubMed ID: 15141113
[TBL] [Abstract][Full Text] [Related]
8. Comparative study of QSAR/QSPR correlations using support vector machines, radial basis function neural networks, and multiple linear regression.
Yao XJ; Panaye A; Doucet JP; Zhang RS; Chen HF; Liu MC; Hu ZD; Fan BT
J Chem Inf Comput Sci; 2004; 44(4):1257-66. PubMed ID: 15272833
[TBL] [Abstract][Full Text] [Related]
9. Support vector machine for SAR/QSAR of phenethyl-amines.
Niu B; Lu WC; Yang SS; Cai YD; Li GZ
Acta Pharmacol Sin; 2007 Jul; 28(7):1075-86. PubMed ID: 17588345
[TBL] [Abstract][Full Text] [Related]
10. A novel QSAR model for prediction of apoptosis-inducing activity of 4-aryl-4-H-chromenes based on support vector machine.
Fatemi MH; Gharaghani S
Bioorg Med Chem; 2007 Dec; 15(24):7746-54. PubMed ID: 17870538
[TBL] [Abstract][Full Text] [Related]
11. A 3D QSAR study on a set of dopamine D4 receptor antagonists.
Boström J; Böhm M; Gundertofte K; Klebe G
J Chem Inf Comput Sci; 2003; 43(3):1020-7. PubMed ID: 12767161
[TBL] [Abstract][Full Text] [Related]
12. 3D-QSAR studies of boron-containing dipeptides as proteasome inhibitors with CoMFA and CoMSIA methods.
Zhu YQ; Lei M; Lu AJ; Zhao X; Yin XJ; Gao QZ
Eur J Med Chem; 2009 Apr; 44(4):1486-99. PubMed ID: 18771818
[TBL] [Abstract][Full Text] [Related]
13. Combined 3D-QSAR modeling and molecular docking study on indolinone derivatives as inhibitors of 3-phosphoinositide-dependent protein kinase-1.
AbdulHameed MD; Hamza A; Liu J; Zhan CG
J Chem Inf Model; 2008 Sep; 48(9):1760-72. PubMed ID: 18717540
[TBL] [Abstract][Full Text] [Related]
14. Molecule kernels: a descriptor- and alignment-free quantitative structure-activity relationship approach.
Mohr JA; Jain BJ; Obermayer K
J Chem Inf Model; 2008 Sep; 48(9):1868-81. PubMed ID: 18767832
[TBL] [Abstract][Full Text] [Related]
15. SAMFA: simplifying molecular description for 3D-QSAR.
Manchester J; Czermiński R
J Chem Inf Model; 2008 Jun; 48(6):1167-73. PubMed ID: 18503264
[TBL] [Abstract][Full Text] [Related]
16. Application of support vector machine (SVM) for prediction toxic activity of different data sets.
Zhao CY; Zhang HX; Zhang XY; Liu MC; Hu ZD; Fan BT
Toxicology; 2006 Jan; 217(2-3):105-19. PubMed ID: 16213080
[TBL] [Abstract][Full Text] [Related]
17. A quantum chemical study on a set of non-imidazole H3 antihistamine molecules.
da Costa EB; Trsic M
J Mol Graph Model; 2010 Apr; 28(7):657-63. PubMed ID: 20138791
[TBL] [Abstract][Full Text] [Related]
18. Computational study of the binding mode of epidermal growth factor receptor kinase inhibitors.
Chen HF
Chem Biol Drug Des; 2008 May; 71(5):434-446. PubMed ID: 18373549
[TBL] [Abstract][Full Text] [Related]
19. Improvement of multivariate image analysis applied to quantitative structure-activity relationship (QSAR) analysis by using wavelet-principal component analysis ranking variable selection and least-squares support vector machine regression: QSAR study of checkpoint kinase WEE1 inhibitors.
Cormanich RA; Goodarzi M; Freitas MP
Chem Biol Drug Des; 2009 Feb; 73(2):244-52. PubMed ID: 19207427
[TBL] [Abstract][Full Text] [Related]
20. 3D-QSAR study of 8-azabicyclo[3.2.1] octane analogs antagonists of cholinergic receptor.
Verma SM; Razdan BK; Sasmal D
Bioorg Med Chem Lett; 2009 Jun; 19(11):3108-12. PubMed ID: 19419864
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
