125 related articles for article (PubMed ID: 30597757)
21. Prediction of fathead minnow acute toxicity of organic compounds from molecular structure.
Eldred DV; Weikel CL; Jurs PC; Kaiser KL
Chem Res Toxicol; 1999 Jul; 12(7):670-8. PubMed ID: 10409408
[TBL] [Abstract][Full Text] [Related]
22. Quantitative structure-hydrophobicity relationships of molecular fragments and beyond.
Zou JW; Huang M; Huang JX; Hu GX; Jiang YJ
J Mol Graph Model; 2016 Mar; 64():110-120. PubMed ID: 26826800
[TBL] [Abstract][Full Text] [Related]
23. Use of statistical and neural net approaches in predicting toxicity of chemicals.
Basak SC; Grunwald GD; Gute BD; Balasubramanian K; Opitz D
J Chem Inf Comput Sci; 2000; 40(4):885-90. PubMed ID: 10955514
[TBL] [Abstract][Full Text] [Related]
24. The proposal of architecture for chemical splitting to optimize QSAR models for aquatic toxicity.
Colombo A; Benfenati E; Karelson M; Maran U
Chemosphere; 2008 Jun; 72(5):772-80. PubMed ID: 18471854
[TBL] [Abstract][Full Text] [Related]
25. Development of in silico models for predicting LSER molecular parameters and for acute toxicity prediction to fathead minnow (Pimephales promelas).
Lyakurwa FS; Yang X; Li X; Qiao X; Chen J
Chemosphere; 2014 Aug; 108():17-25. PubMed ID: 24875907
[TBL] [Abstract][Full Text] [Related]
26. CORAL: QSAR models for acute toxicity in fathead minnow (Pimephales promelas).
Toropova AP; Toropov AA; Lombardo A; Roncaglioni A; Benfenati E; Gini G
J Comput Chem; 2012 May; 33(12):1218-23. PubMed ID: 22371019
[TBL] [Abstract][Full Text] [Related]
27. 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]
28. Development and validation of theoretical linear solvation energy relationship models for toxicity prediction to fathead minnow (Pimephales promelas).
Lyakurwa F; Yang X; Li X; Qiao X; Chen J
Chemosphere; 2014 Feb; 96():188-94. PubMed ID: 24216263
[TBL] [Abstract][Full Text] [Related]
29. Electronic-topological and neural network approaches to the structure- antimycobacterial activity relationships study on hydrazones derivatives.
Kandemirli F; Vurdu CD; Basaran MA; Sayiner HS; Shvets N; Dimoglo A; Kovalish V; Polat T
Med Chem; 2014; 11(1):77-85. PubMed ID: 24773351
[TBL] [Abstract][Full Text] [Related]
30. Intercorrelation Limits in Molecular Descriptor Preselection for QSAR/QSPR.
Rácz A; Bajusz D; Héberger K
Mol Inform; 2019 Aug; 38(8-9):e1800154. PubMed ID: 30945814
[TBL] [Abstract][Full Text] [Related]
31. Combined Toxicity of Nitro-Substituted Benzenes and Zinc to Photobacterium Phosphoreum: Evaluation and QSAR Analysis.
Zhang S; Su L; Zhang X; Li C; Qin W; Zhang D; Liang X; Zhao Y
Int J Environ Res Public Health; 2019 Mar; 16(6):. PubMed ID: 30909451
[TBL] [Abstract][Full Text] [Related]
32. QSPR-based estimation of the half-lives for polychlorinated biphenyl congeners.
Fatemi MH; Chahi ZG
SAR QSAR Environ Res; 2012 Jan; 23(1-2):155-68. PubMed ID: 22224473
[TBL] [Abstract][Full Text] [Related]
33. Characterisation of the chemical and biological properties of molecules with QSAR/QSPR and chemical grouping, and its application to a group of alkyl ethers.
Niska H; Tuppurainen K; Skon JP; Mallett AK; Kolehmainen M
SAR QSAR Environ Res; 2008; 19(3-4):263-84. PubMed ID: 18484498
[TBL] [Abstract][Full Text] [Related]
34. Quantitative study of electrostatic and steric effects on physicochemical property and biological activity.
Cheng YY; Yuan H
J Mol Graph Model; 2006 Jan; 24(4):219-26. PubMed ID: 16182578
[TBL] [Abstract][Full Text] [Related]
35. Use of electron-electron repulsion energy as a molecular descriptor in QSAR and QSPR studies.
Gironés X; Amat L; Robert D; Carbó-Dorca R
J Comput Aided Mol Des; 2000 Jul; 14(5):477-85. PubMed ID: 10896319
[TBL] [Abstract][Full Text] [Related]
36. QSAR study on toxicity to aqueous organisms using the PI index.
Khadikar PV; Phadnis A; Shrivastava A
Bioorg Med Chem; 2002 Apr; 10(4):1181-8. PubMed ID: 11836129
[TBL] [Abstract][Full Text] [Related]
37. Bee algorithm and adaptive neuro-fuzzy inference system as tools for QSAR study toxicity of substituted benzenes to Tetrahymena pyriformis.
Zarei K; Atabati M; Kor K
Bull Environ Contam Toxicol; 2014 Jun; 92(6):642-9. PubMed ID: 24638918
[TBL] [Abstract][Full Text] [Related]
38. Toxicity prediction of 1,2,4-triazoles compounds by QSTR and interspecies QSTTR models.
Liu Z; Dang K; Gao J; Fan P; Li C; Wang H; Li H; Deng X; Gao Y; Qian A
Ecotoxicol Environ Saf; 2022 Sep; 242():113839. PubMed ID: 35816839
[TBL] [Abstract][Full Text] [Related]
39. Modification of polychlorinated phenols and evaluation of their toxicity, biodegradation and bioconcentration using three-dimensional quantitative structure-activity relationship models.
Tong L; Guo L; Lv X; Li Y
J Mol Graph Model; 2017 Jan; 71():1-12. PubMed ID: 27825025
[TBL] [Abstract][Full Text] [Related]
40. Genetic Algorithm and Self-Organizing Maps for QSPR Study of Some N-aryl Derivatives as Butyrylcholinesterase Inhibitors.
Ahmadi S; Ganji S
Curr Drug Discov Technol; 2016; 13(4):232-253. PubMed ID: 27457492
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
