These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
175 related articles for article (PubMed ID: 19286831)
1. Site of metabolism prediction for six biotransformations mediated by cytochromes P450. Zheng M; Luo X; Shen Q; Wang Y; Du Y; Zhu W; Jiang H Bioinformatics; 2009 May; 25(10):1251-8. PubMed ID: 19286831 [TBL] [Abstract][Full Text] [Related]
2. MetaSite: understanding metabolism in human cytochromes from the perspective of the chemist. Cruciani G; Carosati E; De Boeck B; Ethirajulu K; Mackie C; Howe T; Vianello R J Med Chem; 2005 Nov; 48(22):6970-9. PubMed ID: 16250655 [TBL] [Abstract][Full Text] [Related]
3. In silico site of metabolism prediction of cytochrome P450-mediated biotransformations. Tarcsay Á; Keseru GM Expert Opin Drug Metab Toxicol; 2011 Mar; 7(3):299-312. PubMed ID: 21291341 [TBL] [Abstract][Full Text] [Related]
4. Fast prediction of cytochrome P450 mediated drug metabolism. Rydberg P; Vasanthanathan P; Oostenbrink C; Olsen L ChemMedChem; 2009 Dec; 4(12):2070-9. PubMed ID: 19852016 [TBL] [Abstract][Full Text] [Related]
5. Site of metabolism prediction for oxidation reactions mediated by oxidoreductases based on chemical bond. He S; Li M; Ye X; Wang H; Yu W; He W; Wang Y; Qiao Y Bioinformatics; 2017 Feb; 33(3):363-372. PubMed ID: 27667794 [TBL] [Abstract][Full Text] [Related]
6. SOMEViz: a web service for site of metabolism estimating and visualizing. Shen Q; Zheng M; Lu J; Luo C; Zhu W; Chen K; Luo X; Jiang H Protein Pept Lett; 2012 Sep; 19(9):905-9. PubMed ID: 22894162 [TBL] [Abstract][Full Text] [Related]
7. Modeling of human cytochrome p450-mediated drug metabolism using unsupervised machine learning approach. Korolev D; Balakin KV; Nikolsky Y; Kirillov E; Ivanenkov YA; Savchuk NP; Ivashchenko AA; Nikolskaya T J Med Chem; 2003 Aug; 46(17):3631-43. PubMed ID: 12904067 [TBL] [Abstract][Full Text] [Related]
8. Computational approaches for predicting CYP-related metabolism properties in the screening of new drugs. Crivori P; Poggesi I Eur J Med Chem; 2006 Jul; 41(7):795-808. PubMed ID: 16644065 [TBL] [Abstract][Full Text] [Related]
9. Construction of Metabolism Prediction Models for CYP450 3A4, 2D6, and 2C9 Based on Microsomal Metabolic Reaction System. He SB; Li MM; Zhang BX; Ye XT; Du RF; Wang Y; Qiao YJ Int J Mol Sci; 2016 Oct; 17(10):. PubMed ID: 27735849 [TBL] [Abstract][Full Text] [Related]
10. SyGMa: combining expert knowledge and empirical scoring in the prediction of metabolites. Ridder L; Wagener M ChemMedChem; 2008 May; 3(5):821-32. PubMed ID: 18311745 [TBL] [Abstract][Full Text] [Related]
11. SOMP: web server for in silico prediction of sites of metabolism for drug-like compounds. Rudik A; Dmitriev A; Lagunin A; Filimonov D; Poroikov V Bioinformatics; 2015 Jun; 31(12):2046-8. PubMed ID: 25777527 [TBL] [Abstract][Full Text] [Related]
12. Prediction of metabolites of epoxidation reaction in MetaTox. Rudik AV; Dmitriev AV; Bezhentsev VM; Lagunin AA; Filimonov DA; Poroikov VV SAR QSAR Environ Res; 2017 Oct; 28(10):833-842. PubMed ID: 29157013 [TBL] [Abstract][Full Text] [Related]
13. CypScore: Quantitative prediction of reactivity toward cytochromes P450 based on semiempirical molecular orbital theory. Hennemann M; Friedl A; Lobell M; Keldenich J; Hillisch A; Clark T; Göller AH ChemMedChem; 2009 Apr; 4(4):657-69. PubMed ID: 19243088 [TBL] [Abstract][Full Text] [Related]
14. Metabolism site prediction based on xenobiotic structural formulas and PASS prediction algorithm. Rudik AV; Dmitriev AV; Lagunin AA; Filimonov DA; Poroikov VV J Chem Inf Model; 2014 Feb; 54(2):498-507. PubMed ID: 24417355 [TBL] [Abstract][Full Text] [Related]
15. A combined approach to drug metabolism and toxicity assessment. Ekins S; Andreyev S; Ryabov A; Kirillov E; Rakhmatulin EA; Sorokina S; Bugrim A; Nikolskaya T Drug Metab Dispos; 2006 Mar; 34(3):495-503. PubMed ID: 16381662 [TBL] [Abstract][Full Text] [Related]
16. Comparison of multilabel and single-label classification applied to the prediction of the isoform specificity of cytochrome p450 substrates. Michielan L; Terfloth L; Gasteiger J; Moro S J Chem Inf Model; 2009 Nov; 49(11):2588-605. PubMed ID: 19883102 [TBL] [Abstract][Full Text] [Related]
17. QSAR of cytochrome inhibitors. Roy K; Roy PP Expert Opin Drug Metab Toxicol; 2009 Oct; 5(10):1245-66. PubMed ID: 19708826 [TBL] [Abstract][Full Text] [Related]
18. KiPar, a tool for systematic information retrieval regarding parameters for kinetic modelling of yeast metabolic pathways. Spasic I; Simeonidis E; Messiha HL; Paton NW; Kell DB Bioinformatics; 2009 Jun; 25(11):1404-11. PubMed ID: 19336445 [TBL] [Abstract][Full Text] [Related]
19. FAME 2: Simple and Effective Machine Learning Model of Cytochrome P450 Regioselectivity. Šícho M; de Bruyn Kops C; Stork C; Svozil D; Kirchmair J J Chem Inf Model; 2017 Aug; 57(8):1832-1846. PubMed ID: 28782945 [TBL] [Abstract][Full Text] [Related]
20. Metabolomics: current state and evolving methodologies and tools. Oldiges M; Lütz S; Pflug S; Schroer K; Stein N; Wiendahl C Appl Microbiol Biotechnol; 2007 Sep; 76(3):495-511. PubMed ID: 17665194 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]