6-Propyl-2-thiouracil

Papers

Capillary zone electrophoresis determination of thyreostatic drugs in urine. Vargas G, Havel J, Frgalová K. J. Capillary Electrophor. 5, 9-12, (1998)

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Simultaneous determination of thyreostatic residues in animal tissues by matrix solid-phase dispersion and gas chromatography-mass spectrometry. Zhang L, Liu Y, Xie MX, Qiu YM. J. Chromatogr. A. 1074, 1-7, (2005)

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A novel approach for simultaneous determination of 2-mercaptobenzimidazole and derivatives of 2-thiouracil in animal tissue by gas chromatography/mass spectrometry. Liu Y, Zou QH, Xie MX, Han J. Rapid Commun. Mass Spectrom. 21, 1504-1510, (2007)

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Determination of thyreostats in urine and thyroid gland by ultra high performance liquid chromatography tandem mass spectrometry. Lõhmus M, Kallaste K, Le Bizec B. J. Chromatogr. A. 1216, 8080-8089, (2009)

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Liquid chromatography tandem mass spectrometry with ion trap and triple quadrupole analyzers for determination of thyreostatic drugs in urine and muscle tissue. Wozniak B, Zuchowska IM, Zmudzki J, et al. Anal. Chim. Acta 700, 155-166, (2011)

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Hologram QSAR model for the prediction of human oral bioavailability. Tiago L Moda et al Bioorg. Med. Chem. 15, 7738-45, (2007)

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Quantitative structure-activity relationship and complex network approach to monoamine oxidase A and B inhibitors. Lourdes Santana et al J. Med. Chem. 51, 6740-51, (2008)

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Trend analysis of a database of intravenous pharmacokinetic parameters in humans for 670 drug compounds. R Scott Obach et al Drug Metab. Dispos. 36, 1385-405, (2008)

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Physicochemical determinants of human renal clearance. Manthena V S Varma et al J. Med. Chem. 52, 4844-52, (2009)

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Physicochemical space for optimum oral bioavailability: contribution of human intestinal absorption and first-pass elimination. Manthena V S Varma et al J. Med. Chem. 53, 1098-108, (2010)

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How well can the Caco-2/Madin-Darby canine kidney models predict effective human jejunal permeability? Alex Avdeef et al J. Med. Chem. 53, 3566-84, (2010)

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Cheminformatics analysis of assertions mined from literature that describe drug-induced liver injury in different species. Denis Fourches et al Chem. Res. Toxicol. 23, 171-83, (2010)

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Neural computational prediction of oral drug absorption based on CODES 2D descriptors. A Guerra et al Eur. J. Med. Chem. 45, 930-40, (2010)

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The Japanese toxicogenomics project: application of toxicogenomics. Takeki Uehara et al Mol. Nutr. Food. Res. 54, 218-27, (2010)

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QSAR-based permeability model for drug-like compounds. Rafael Gozalbes et al Bioorg. Med. Chem. 19, 2615-24, (2011)

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Prediction of drug intestinal absorption by new linear and non-linear QSPR. Alan Talevi et al Eur. J. Med. Chem. 46, 218-28, (2011)

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FDA-approved drug labeling for the study of drug-induced liver injury. Minjun Chen et al Drug Discov. Today 16, 697-703, (2011)

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Translating Clinical Findings into Knowledge in Drug Safety Evaluation - Drug Induced Liver Injury Prediction System (DILIps). Zhichao Liu et al PLoS Comput. Biol. 7, e1002310, (2011)

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Merck 14,7869

Beil. 24,IV,1333

Aldrich MSDS 1, 1063:B / Corp MSDS 1 (1), 1931:B / FT-IR 2 (3), 3848:C / FT-IR 1 (2), 821:C / FT-NMR 1 (3), 379:B / IR-Spectra (3), 1361:C / IR-Spectra (2), 1185:G / NMR-Reference 2 (2), 700:D / RegBook 1 (2), 2573:H / Sax 6, 2315 / Sigma FT-IR 1 (1), 1016:B / Structure Index 1, 407:E:2