1422 related articles for article (PubMed ID: 18760864)
1. 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]
2. MIA-QSAR coupled to principal component analysis-adaptive neuro-fuzzy inference systems (PCA-ANFIS) for the modeling of the anti-HIV reverse transcriptase activities of TIBO derivatives.
Goodarzi M; Freitas MP
Eur J Med Chem; 2010 Apr; 45(4):1352-8. PubMed ID: 20060625
[TBL] [Abstract][Full Text] [Related]
3. Exploring molecular shape analysis of styrylquinoline derivatives as HIV-1 integrase inhibitors.
Leonard JT; Roy K
Eur J Med Chem; 2008 Jan; 43(1):81-92. PubMed ID: 17452064
[TBL] [Abstract][Full Text] [Related]
4. A group center overlap based approach for "3D QSAR" studies on TIBO derivatives.
Sapre NS; Gupta S; Pancholi N; Sapre N
J Comput Chem; 2009 Apr; 30(6):922-33. PubMed ID: 18785154
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. Conformation depends on 4D-QSAR analysis using EC-GA method: pharmacophore identification and bioactivity prediction of TIBOs as non-nucleoside reverse transcriptase inhibitors.
Akyüz L; Sarıpınar E
J Enzyme Inhib Med Chem; 2013 Aug; 28(4):776-91. PubMed ID: 22591319
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Support vector machines: development of QSAR models for predicting anti-HIV-1 activity of TIBO derivatives.
Darnag R; Mostapha Mazouz EL; Schmitzer A; Villemin D; Jarid A; Cherqaoui D
Eur J Med Chem; 2010 Apr; 45(4):1590-7. PubMed ID: 20110136
[TBL] [Abstract][Full Text] [Related]
10. Quantitative structure-activity relationship studies on 2-amino-6-arylsulfonylbenzonitriles as human immunodeficiency viruses type 1 reverse transcriptase inhibitors using descriptors obtained from substituents and whole molecular structures.
Hemmateenejad B; Sabet R; Fassihi A
Chem Biol Drug Des; 2009 Oct; 74(4):405-15. PubMed ID: 19691465
[TBL] [Abstract][Full Text] [Related]
11. CoMFA 3D-QSAR analysis of HIV-1 RT nonnucleoside inhibitors, TIBO derivatives based on docking conformation and alignment.
Zhou Z; Madura JD
J Chem Inf Comput Sci; 2004; 44(6):2167-78. PubMed ID: 15554687
[TBL] [Abstract][Full Text] [Related]
12. Molecular modeling calculations of HIV-1 reverse transcriptase nonnucleoside inhibitors: correlation of binding energy with biological activity for novel 2-aryl-substituted benzimidazole analogues.
Kroeger Smith MB; Hose BM; Hawkins A; Lipchock J; Farnsworth DW; Rizzo RC; Tirado-Rives J; Arnold E; Zhang W; Hughes SH; Jorgensen WL; Michejda CJ; Smith RH
J Med Chem; 2003 May; 46(10):1940-7. PubMed ID: 12723956
[TBL] [Abstract][Full Text] [Related]
13. QSAR study of PETT derivatives as potent HIV-1 reverse transcriptase inhibitors.
Sabet R; Fassihi A; Moeinifard B
J Mol Graph Model; 2009 Sep; 28(2):146-55. PubMed ID: 19570701
[TBL] [Abstract][Full Text] [Related]
14. QSTR with extended topochemical atom (ETA) indices. 12. QSAR for the toxicity of diverse aromatic compounds to Tetrahymena pyriformis using chemometric tools.
Roy K; Ghosh G
Chemosphere; 2009 Nov; 77(7):999-1009. PubMed ID: 19709717
[TBL] [Abstract][Full Text] [Related]
15. Comparative QSAR studies of CYP1A2 inhibitor flavonoids using 2D and 3D descriptors.
Roy K; Roy PP
Chem Biol Drug Des; 2008 Nov; 72(5):370-82. PubMed ID: 19012573
[TBL] [Abstract][Full Text] [Related]
16. Exploring QSAR for substituted 2-sulfonyl-phenyl-indol derivatives as potent and selective COX-2 inhibitors using different chemometrics tools.
Khoshneviszadeh M; Edraki N; Miri R; Hemmateenejad B
Chem Biol Drug Des; 2008 Dec; 72(6):564-74. PubMed ID: 19090923
[TBL] [Abstract][Full Text] [Related]
17. Anti-HIV activity of HEPT, TIBO, and cyclic urea derivatives: structure-property studies, focused combinatorial library generation, and hits selection using substructural molecular fragments method.
Solov'ev VP; Varnek A
J Chem Inf Comput Sci; 2003; 43(5):1703-19. PubMed ID: 14502505
[TBL] [Abstract][Full Text] [Related]
18. Quantitative structure-activity relationship studies of TIBO derivatives using support vector machines.
Darnag R; Schmitzer A; Belmiloud Y; Villemin D; Jarid A; Chait A; Mazouz E; Cherqaoui D
SAR QSAR Environ Res; 2010 Apr; 21(3-4):231-46. PubMed ID: 20544549
[TBL] [Abstract][Full Text] [Related]
19. Docking and quantitative structure-activity relationship studies for the bisphenylbenzimidazole family of non-nucleoside inhibitors of HIV-1 reverse transcriptase.
Lagos CF; Caballero J; Gonzalez-Nilo FD; David Pessoa-Mahana C; Perez-Acle T
Chem Biol Drug Des; 2008 Nov; 72(5):360-9. PubMed ID: 19012572
[TBL] [Abstract][Full Text] [Related]
20. Comparative multiple quantitative structure-retention relationships modeling of gas chromatographic retention time of essential oils using multiple linear regression, principal component regression, and partial least squares techniques.
Qin LT; Liu SS; Liu HL; Tong J
J Chromatogr A; 2009 Jul; 1216(27):5302-12. PubMed ID: 19486989
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]