180 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]