159 related articles for article (PubMed ID: 19802636)
1. Molecular modelling and QSAR analysis of some structurally diverse N-type calcium channel blockers.
Mungalpara J; Pandey A; Jain V; Mohan CG
J Mol Model; 2010 Apr; 16(4):629-44. PubMed ID: 19802636
[TBL] [Abstract][Full Text] [Related]
2. Quantitative Structure-Activity Relationship Studies of 4-Imidazolyl- 1,4-dihydropyridines as Calcium Channel Blockers.
Hadizadeh F; Vahdani S; Jafarpour M
Iran J Basic Med Sci; 2013 Aug; 16(8):910-6. PubMed ID: 24106595
[TBL] [Abstract][Full Text] [Related]
3. Exploring QSTR and toxicophore of hERG K+ channel blockers using GFA and HypoGen techniques.
Garg D; Gandhi T; Gopi Mohan C
J Mol Graph Model; 2008 Feb; 26(6):966-76. PubMed ID: 17928249
[TBL] [Abstract][Full Text] [Related]
4. Comparison of a neural net-based QSAR algorithm (PCANN) with Hologram- and multiple linear regression-based QSAR approaches: application to 1,4-dihydropyridine-based calcium channel antagonists.
Viswanadhan VN; Mueller GA; Basak SC; Weinstein JN
J Chem Inf Comput Sci; 2001; 41(3):505-11. PubMed ID: 11410024
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 3D QSAR studies on 3,4-dihydroquinazolines as T-type calcium channel blocker by comparative molecular similarity indices analysis (CoMSIA).
Jeong JA; Cho H; Jung SY; Kang HB; Park JY; Kim J; Choo DJ; Lee JY
Bioorg Med Chem Lett; 2010 Jan; 20(1):38-41. PubMed ID: 19951839
[TBL] [Abstract][Full Text] [Related]
7. Predictive models for designing potent tyrosine kinase inhibitors in chronic myeloid leukemia for understanding its molecular mechanism of resistance by molecular docking and dynamics simulations.
Melge AR; Kumar LG; K P; Nair SV; K M; C GM
J Biomol Struct Dyn; 2019 Nov; 37(18):4747-4766. PubMed ID: 30580670
[TBL] [Abstract][Full Text] [Related]
8. Quantitative Structure-Activity Relationship Study of Camptothecin Derivatives as Anticancer Drugs Using Molecular Descriptors.
Ahmadinejad N; Shafiei F
Comb Chem High Throughput Screen; 2019; 22(6):387-399. PubMed ID: 31284856
[TBL] [Abstract][Full Text] [Related]
9. Application of ab initio theory to QSAR study of 1,4-dihydropyridine-based calcium channel blockers using GA-MLR and PC-GA-ANN procedures.
Hemmateenejad B; Safarpour MA; Miri R; Taghavi F
J Comput Chem; 2004 Sep; 25(12):1495-503. PubMed ID: 15224393
[TBL] [Abstract][Full Text] [Related]
10. Exploring QSAR and QAAR for inhibitors of cytochrome P450 2A6 and 2A5 enzymes using GFA and G/PLS techniques.
Roy K; Roy PP
Eur J Med Chem; 2009 May; 44(5):1941-51. PubMed ID: 19110342
[TBL] [Abstract][Full Text] [Related]
11. Molecular modelling studies for the discovery of new substituted pyridines derivatives with angiotensin II AT1 receptor antagonists.
Sharma MC
Interdiscip Sci; 2014 Sep; 6(3):197-207. PubMed ID: 25205497
[TBL] [Abstract][Full Text] [Related]
12. QSAR and classification study of 1,4-dihydropyridine calcium channel antagonists based on least squares support vector machines.
Yao X; Liu H; Zhang R; Liu M; Hu Z; Panaye A; Doucet JP; Fan B
Mol Pharm; 2005; 2(5):348-56. PubMed ID: 16196487
[TBL] [Abstract][Full Text] [Related]
13. Discovery of Potent Antihypertensive Ligands Substituted Imidazolyl Biphenyl Sulfonylureas Analogs as Angiotensin II AT1 Receptor Antagonists by Molecular Modelling Studies.
Sharma MC
Interdiscip Sci; 2015 Sep; 7(3):221-32. PubMed ID: 26188391
[TBL] [Abstract][Full Text] [Related]
14. Genetic algorithm applied to the selection of factors in principal component-artificial neural networks: application to QSAR study of calcium channel antagonist activity of 1,4-dihydropyridines (nifedipine analogous).
Hemmateenejad B; Akhond M; Miri R; Shamsipur M
J Chem Inf Comput Sci; 2003; 43(4):1328-34. PubMed ID: 12870926
[TBL] [Abstract][Full Text] [Related]
15. Development of linear and nonlinear predictive QSAR models and their external validation using molecular similarity principle for anti-HIV indolyl aryl sulfones.
Roy K; Mandal AS
J Enzyme Inhib Med Chem; 2008 Dec; 23(6):980-95. PubMed ID: 18608761
[TBL] [Abstract][Full Text] [Related]
16. Predictive QSAR modeling of HIV reverse transcriptase inhibitor TIBO derivatives.
Mandal AS; Roy K
Eur J Med Chem; 2009 Apr; 44(4):1509-24. PubMed ID: 18760864
[TBL] [Abstract][Full Text] [Related]
17. Quantitative structure-activity relationship and quantitative structure-pharmacokinetics relationship of 1,4-dihydropyridines and pyridines as multidrug resistance modulators.
Zhou XF; Shao Q; Coburn RA; Morris ME
Pharm Res; 2005 Dec; 22(12):1989-96. PubMed ID: 16158213
[TBL] [Abstract][Full Text] [Related]
18. Molecular modeling and structure-activity relationship of podophyllotoxin and its congeners.
Naik PK; Alam A; Malhotra A; Rizvi O
J Biomol Screen; 2010 Jun; 15(5):528-40. PubMed ID: 20460251
[TBL] [Abstract][Full Text] [Related]
19. Comparative chemometric modeling of cytochrome 3A4 inhibitory activity of structurally diverse compounds using stepwise MLR, FA-MLR, PLS, GFA, G/PLS and ANN techniques.
Roy K; Pratim Roy P
Eur J Med Chem; 2009 Jul; 44(7):2913-22. PubMed ID: 19128860
[TBL] [Abstract][Full Text] [Related]
20. Predictive QSAR modeling of CCR5 antagonist piperidine derivatives using chemometric tools.
Roy K; Mandal AS
J Enzyme Inhib Med Chem; 2009 Feb; 24(1):205-23. PubMed ID: 18608745
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
