645 related articles for article (PubMed ID: 18608761)
21. QSAR study on some anti-HIV HEPT analogues using physicochemical and topological parameters.
Gayen S; Debnath B; Samanta S; Jha T
Bioorg Med Chem; 2004 Mar; 12(6):1493-503. PubMed ID: 15018923
[TBL] [Abstract][Full Text] [Related]
22. A self-adaptive genetic algorithm-artificial neural network algorithm with leave-one-out cross validation for descriptor selection in QSAR study.
Wu J; Mei J; Wen S; Liao S; Chen J; Shen Y
J Comput Chem; 2010 Jul; 31(10):1956-68. PubMed ID: 20512843
[TBL] [Abstract][Full Text] [Related]
23. ANN QSAR workflow for predicting the inhibition of HIV-1 reverse transcriptase by pyridinone non-nucleoside derivatives.
Barzegar A; Zamani-Gharehchamani E; Kadkhodaie-Ilkhchi A
Future Med Chem; 2017 Jul; 9(11):1175-1191. PubMed ID: 28722475
[TBL] [Abstract][Full Text] [Related]
24. QSAR modeling of toxicity of diverse organic chemicals to Daphnia magna using 2D and 3D descriptors.
Kar S; Roy K
J Hazard Mater; 2010 May; 177(1-3):344-51. PubMed ID: 20045248
[TBL] [Abstract][Full Text] [Related]
25. Toward generating simpler QSAR models: nonlinear multivariate regression versus several neural network ensembles and some related methods.
Lucić B; Nadramija D; Basic I; Trinajstić N
J Chem Inf Comput Sci; 2003; 43(4):1094-102. PubMed ID: 12870898
[TBL] [Abstract][Full Text] [Related]
26. QSAR by LFER model of HIV protease inhibitor mannitol derivatives using FA-MLR, PCRA, and PLS techniques.
Leonard JT; Roy K
Bioorg Med Chem; 2006 Feb; 14(4):1039-46. PubMed ID: 16213730
[TBL] [Abstract][Full Text] [Related]
27. QSAR based on multiple linear regression and PLS methods for the anti-HIV activity of a large group of HEPT derivatives.
Luco JM; Ferretti FH
J Chem Inf Comput Sci; 1997; 37(2):392-401. PubMed ID: 9090857
[TBL] [Abstract][Full Text] [Related]
28. New Research for Quinazoline-2,4-diones as HPPD Inhibitors Based on 2D-MLR and 3D-QSAR Models.
Fu Y; Sun YN; Cao HF; Yi KH; Zhao LX; Li JZ; Ye F
Comb Chem High Throughput Screen; 2017; 20(9):748-759. PubMed ID: 28637410
[TBL] [Abstract][Full Text] [Related]
29. Chemometrics-assisted simultaneous voltammetric determination of ascorbic acid, uric acid, dopamine and nitrite: application of non-bilinear voltammetric data for exploiting first-order advantage.
Gholivand MB; Jalalvand AR; Goicoechea HC; Skov T
Talanta; 2014 Feb; 119():553-63. PubMed ID: 24401455
[TBL] [Abstract][Full Text] [Related]
30. QSAR model for prediction of the therapeutic potency of N-benzylpiperidine derivatives as AChE inhibitors.
Bitam S; Hamadache M; Hanini S
SAR QSAR Environ Res; 2017 Jun; 28(6):471-489. PubMed ID: 28610432
[TBL] [Abstract][Full Text] [Related]
31. Design, molecular modeling, synthesis, and anti-HIV-1 activity of new indolyl aryl sulfones. Novel derivatives of the indole-2-carboxamide.
Ragno R; Coluccia A; La Regina G; De Martino G; Piscitelli F; Lavecchia A; Novellino E; Bergamini A; Ciaprini C; Sinistro A; Maga G; Crespan E; Artico M; Silvestri R
J Med Chem; 2006 Jun; 49(11):3172-84. PubMed ID: 16722636
[TBL] [Abstract][Full Text] [Related]
32. Quantitative structure-activity relationship studies on 1-aryl-tetrahydroisoquinoline analogs as active anti-HIV agents.
Chen KX; Xie HY; Li ZG; Gao JR
Bioorg Med Chem Lett; 2008 Oct; 18(20):5381-6. PubMed ID: 18835162
[TBL] [Abstract][Full Text] [Related]
33. QSAR Modeling of the Arylthioindole Class of Colchicine Polymerization Inhibitors as Anticancer Agents.
Habibpour E; Ahmadi S
Curr Comput Aided Drug Des; 2017; 13(2):143-159. PubMed ID: 28120704
[TBL] [Abstract][Full Text] [Related]
34. 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]
35. Performance comparison of nonlinear and linear regression algorithms coupled with different attribute selection methods for quantitative structure - retention relationships modelling in micellar liquid chromatography.
Krmar J; Vukićević M; Kovačević A; Protić A; Zečević M; Otašević B
J Chromatogr A; 2020 Jul; 1623():461146. PubMed ID: 32505269
[TBL] [Abstract][Full Text] [Related]
36. A novel simple QSAR model for the prediction of anti-HIV activity using multiple linear regression analysis.
Afantitis A; Melagraki G; Sarimveis H; Koutentis PA; Markopoulos J; Igglessi-Markopoulou O
Mol Divers; 2006 Aug; 10(3):405-14. PubMed ID: 16896545
[TBL] [Abstract][Full Text] [Related]
37. 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]
38. Novel semi-automated methodology for developing highly predictive QSAR models: application for development of QSAR models for insect repellent amides.
Bhonsle JB; Bhattacharjee AK; Gupta RK
J Mol Model; 2007 Jan; 13(1):179-208. PubMed ID: 17048015
[TBL] [Abstract][Full Text] [Related]
39. 4D-QSAR Studies Using a New Descriptor of the Klopman Index: Antibacterial Activities of Sulfone Derivatives Containing 1, 3, 4-Oxadiazole Moiety Based on MCET Model.
Guzel Y; Aslan E; Turkmenoglu B; Su EM
Curr Comput Aided Drug Des; 2018; 14(3):207-220. PubMed ID: 29756583
[TBL] [Abstract][Full Text] [Related]
40. 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]
[Previous] [Next] [New Search]