254 related articles for article (PubMed ID: 21384562)
1. QSAR modeling of nanomaterials.
Burello E; Worth AP
Wiley Interdiscip Rev Nanomed Nanobiotechnol; 2011; 3(3):298-306. PubMed ID: 21384562
[TBL] [Abstract][Full Text] [Related]
2. Functional micro/nanostructures: simple synthesis and application in sensors, fuel cells, and gene delivery.
Guo S; Wang E
Acc Chem Res; 2011 Jul; 44(7):491-500. PubMed ID: 21612197
[TBL] [Abstract][Full Text] [Related]
3. Quantitative structure-activity relationship modeling of the toxicity of organothiophosphate pesticides to Daphnia magna and Cyprinus carpio.
Zvinavashe E; Du T; Griff T; van den Berg HH; Soffers AE; Vervoort J; Murk AJ; Rietjens IM
Chemosphere; 2009 Jun; 75(11):1531-8. PubMed ID: 19376559
[TBL] [Abstract][Full Text] [Related]
4. QSAR modeling using chirality descriptors derived from molecular topology.
Golbraikh A; Tropsha A
J Chem Inf Comput Sci; 2003; 43(1):144-54. PubMed ID: 12546547
[TBL] [Abstract][Full Text] [Related]
5. Development of a general quantum-chemical descriptor for steric effects: density functional theory based QSAR study of herbicidal sulfonylurea analogues.
Xi Z; Yu Z; Niu C; Ban S; Yang G
J Comput Chem; 2006 Oct; 27(13):1571-6. PubMed ID: 16868987
[TBL] [Abstract][Full Text] [Related]
6. Quantitative structure-property relationship modeling of diverse materials properties.
Le T; Epa VC; Burden FR; Winkler DA
Chem Rev; 2012 May; 112(5):2889-919. PubMed ID: 22251444
[No Abstract] [Full Text] [Related]
7. Quantitative structure-activity relationship for cyclic imide derivatives of protoporphyrinogen oxidase inhibitors: a study of quantum chemical descriptors from density functional theory.
Wan J; Zhang L; Yang G; Zhan CG
J Chem Inf Comput Sci; 2004; 44(6):2099-105. PubMed ID: 15554680
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Application of MOLMAP approach for QSAR modeling of various biological activities using substituent electronic descriptors.
Hemmateenejad B; Mehdipour AR; Miri R; Shamsipur M
J Comput Chem; 2009 Oct; 30(13):2001-9. PubMed ID: 19130500
[TBL] [Abstract][Full Text] [Related]
10. Evaluation criteria for the quality of published experimental data on nanomaterials and their usefulness for QSAR modelling.
Lubinski L; Urbaszek P; Gajewicz A; Cronin MT; Enoch SJ; Madden JC; Leszczynska D; Leszczynski J; Puzyn T
SAR QSAR Environ Res; 2013; 24(12):995-1008. PubMed ID: 24313439
[TBL] [Abstract][Full Text] [Related]
11. Nano-bio effects: interaction of nanomaterials with cells.
Cheng LC; Jiang X; Wang J; Chen C; Liu RS
Nanoscale; 2013 May; 5(9):3547-69. PubMed ID: 23532468
[TBL] [Abstract][Full Text] [Related]
12. Quantitative structure-activity relationship modeling of juvenile hormone mimetic compounds for Culex pipiens larvae, with a discussion of descriptor-thinning methods.
Basak SC; Natarajan R; Mills D; Hawkins DM; Kraker JJ
J Chem Inf Model; 2006; 46(1):65-77. PubMed ID: 16426041
[TBL] [Abstract][Full Text] [Related]
13. Three-dimensional quantitative structure activity relationship computational approaches for prediction of human in vitro intrinsic clearance.
Ekins S; Obach RS
J Pharmacol Exp Ther; 2000 Nov; 295(2):463-73. PubMed ID: 11046077
[TBL] [Abstract][Full Text] [Related]
14. Anticancer activity of selected phenolic compounds: QSAR studies using ridge regression and neural networks.
Nandi S; Vracko M; Bagchi MC
Chem Biol Drug Des; 2007 Nov; 70(5):424-36. PubMed ID: 17949360
[TBL] [Abstract][Full Text] [Related]
15. Toward the development of "nano-QSARs": advances and challenges.
Puzyn T; Leszczynska D; Leszczynski J
Small; 2009 Nov; 5(22):2494-509. PubMed ID: 19787675
[TBL] [Abstract][Full Text] [Related]
16. Quantitative structure-activity relationship (QSAR) for a series of novel cannabinoid derivatives using descriptors derived from semi-empirical quantum-chemical calculations.
Ferreira AM; Krishnamurthy M; Moore BM; Finkelstein D; Bashford D
Bioorg Med Chem; 2009 Mar; 17(6):2598-606. PubMed ID: 19250829
[TBL] [Abstract][Full Text] [Related]
17. Local and global quantitative structure-activity relationship modeling and prediction for the baseline toxicity.
Yuan H; Wang Y; Cheng Y
J Chem Inf Model; 2007; 47(1):159-69. PubMed ID: 17238261
[TBL] [Abstract][Full Text] [Related]
18. Novel inhibitors of human histone deacetylase (HDAC) identified by QSAR modeling of known inhibitors, virtual screening, and experimental validation.
Tang H; Wang XS; Huang XP; Roth BL; Butler KV; Kozikowski AP; Jung M; Tropsha A
J Chem Inf Model; 2009 Feb; 49(2):461-76. PubMed ID: 19182860
[TBL] [Abstract][Full Text] [Related]
19. Antimalarial activity: a QSAR modeling using CODESSA PRO software.
Katritzky AR; Kulshyn OV; Stoyanova-Slavova I; Dobchev DA; Kuanar M; Fara DC; Karelson M
Bioorg Med Chem; 2006 Apr; 14(7):2333-57. PubMed ID: 16426851
[TBL] [Abstract][Full Text] [Related]
20. Linear QSAR regression models for the prediction of bioconcentration factors by physicochemical properties and structural theoretical molecular descriptors.
Papa E; Dearden JC; Gramatica P
Chemosphere; 2007 Feb; 67(2):351-8. PubMed ID: 17109926
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
