423 related articles for article (PubMed ID: 24480159)
1. Comprehension of drug toxicity: software and databases.
Toropov AA; Toropova AP; Raska I; Leszczynska D; Leszczynski J
Comput Biol Med; 2014 Feb; 45():20-5. PubMed ID: 24480159
[TBL] [Abstract][Full Text] [Related]
2. In silico toxicology for the pharmaceutical sciences.
Valerio LG
Toxicol Appl Pharmacol; 2009 Dec; 241(3):356-70. PubMed ID: 19716836
[TBL] [Abstract][Full Text] [Related]
3. Prediction of rodent carcinogenic potential of naturally occurring chemicals in the human diet using high-throughput QSAR predictive modeling.
Valerio LG; Arvidson KB; Chanderbhan RF; Contrera JF
Toxicol Appl Pharmacol; 2007 Jul; 222(1):1-16. PubMed ID: 17482223
[TBL] [Abstract][Full Text] [Related]
4. Predictive computational toxicology to support drug safety assessment.
Valerio LG
Methods Mol Biol; 2013; 930():341-54. PubMed ID: 23086849
[TBL] [Abstract][Full Text] [Related]
5. Testing computational toxicology models with phytochemicals.
Valerio LG; Arvidson KB; Busta E; Minnier BL; Kruhlak NL; Benz RD
Mol Nutr Food Res; 2010 Feb; 54(2):186-94. PubMed ID: 20024931
[TBL] [Abstract][Full Text] [Related]
6. Development and validation of a robust QSAR model for prediction of carcinogenicity of drugs.
Kar S; Roy K
Indian J Biochem Biophys; 2011 Apr; 48(2):111-22. PubMed ID: 21682143
[TBL] [Abstract][Full Text] [Related]
7. Accessing, using, and creating chemical property databases for computational toxicology modeling.
Williams AJ; Ekins S; Spjuth O; Willighagen EL
Methods Mol Biol; 2012; 929():221-41. PubMed ID: 23007432
[TBL] [Abstract][Full Text] [Related]
8. A novel QSAR model of Salmonella mutagenicity and its application in the safety assessment of drug impurities.
Valencia A; Prous J; Mora O; Sadrieh N; Valerio LG
Toxicol Appl Pharmacol; 2013 Dec; 273(3):427-34. PubMed ID: 24090816
[TBL] [Abstract][Full Text] [Related]
9. QSAR Methods.
Gini G
Methods Mol Biol; 2016; 1425():1-20. PubMed ID: 27311459
[TBL] [Abstract][Full Text] [Related]
10. QSAR/QSPR as an application of artificial neural networks.
Montañez-Godínez N; Martínez-Olguín AC; Deeb O; Garduño-Juárez R; Ramírez-Galicia G
Methods Mol Biol; 2015; 1260():319-33. PubMed ID: 25502390
[TBL] [Abstract][Full Text] [Related]
11. Characterization and validation of an in silico toxicology model to predict the mutagenic potential of drug impurities.
Valerio LG; Cross KP
Toxicol Appl Pharmacol; 2012 May; 260(3):209-21. PubMed ID: 22426359
[TBL] [Abstract][Full Text] [Related]
12. [AI-based QSAR Modeling for Prediction of Active Compounds in MIE/AOP].
Uesawa Y
Yakugaku Zasshi; 2020; 140(4):499-505. PubMed ID: 32238631
[TBL] [Abstract][Full Text] [Related]
13. Prediction of physicochemical properties.
Dearden JC
Methods Mol Biol; 2012; 929():93-138. PubMed ID: 23007428
[TBL] [Abstract][Full Text] [Related]
14. Neuroinformatics and Computational Modelling as Complementary Tools for Neurotoxicology Studies.
Linne ML
Basic Clin Pharmacol Toxicol; 2018 Sep; 123 Suppl 5():56-61. PubMed ID: 29924904
[TBL] [Abstract][Full Text] [Related]
15. Comparison of in silico models for prediction of mutagenicity.
Bakhtyari NG; Raitano G; Benfenati E; Martin T; Young D
J Environ Sci Health C Environ Carcinog Ecotoxicol Rev; 2013; 31(1):45-66. PubMed ID: 23534394
[TBL] [Abstract][Full Text] [Related]
16. Comparative analysis of predictive models for nongenotoxic hepatocarcinogenicity using both toxicogenomics and quantitative structure-activity relationships.
Liu Z; Kelly R; Fang H; Ding D; Tong W
Chem Res Toxicol; 2011 Jul; 24(7):1062-70. PubMed ID: 21627106
[TBL] [Abstract][Full Text] [Related]
17. In Silico Approaches in Predictive Genetic Toxicology.
Sinha M; Dhawan A; Parthasarathi R
Methods Mol Biol; 2019; 2031():351-373. PubMed ID: 31473971
[TBL] [Abstract][Full Text] [Related]
18. A structural feature-based computational approach for toxicology predictions.
Valerio LG; Yang C; Arvidson KB; Kruhlak NL
Expert Opin Drug Metab Toxicol; 2010 Apr; 6(4):505-18. PubMed ID: 20074001
[TBL] [Abstract][Full Text] [Related]
19. Computational toxicology: Its essential role in reducing drug attrition.
Naven RT; Louise-May S
Hum Exp Toxicol; 2015 Dec; 34(12):1304-9. PubMed ID: 26614820
[TBL] [Abstract][Full Text] [Related]
20. Health-effects related structure-toxicity relationships: a paradigm for the first decade of the new millennium.
Schultz TW; Seward JR
Sci Total Environ; 2000 Apr; 249(1-3):73-84. PubMed ID: 10813448
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
