Chloroform

Papers

Ethanol teratogenesis in Japanese medaka: effects at the cellular level. Minghui Wu et al Comp. Biochem. Physiol. B Biochem. Mol. Biol. 149, 191-201, (2008)

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Configuration of PKCα-C2 domain bound to mixed SOPC/SOPS lipid monolayers. Chiu-Hao Chen et al Biophys. J. 97, 2794-802, (2009)

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New insights from old bones: DNA preservation and degradation in permafrost preserved mammoth remains. Carsten Schwarz et al Nucleic Acids Res. 37, 3215-29, (2009)

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Basal LAT-diacylglycerol-RasGRP1 signals in T cells maintain TCRα± gene expression. Evan Markegard et al PLoS ONE 6, e25540, (2011)

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Calculating virtual log P in the alkane/water system (log P(N)(alk)) and its derived parameters deltalog P(N)(oct-alk) and log D(pH)(alk). Giulia Caron et al J. Med. Chem. 48, 3269-79, (2005)

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Evaluation of a published in silico model and construction of a novel Bayesian model for predicting phospholipidosis inducing potential. Dennis J Pelletier et al J. Chem. Inf. Model. 47, 1196-205, (2007)

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Air to lung partition coefficients for volatile organic compounds and blood to lung partition coefficients for volatile organic compounds and drugs. Michael H Abraham et al Eur. J. Med. Chem. 43, 478-85, (2008)

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Convenient QSAR model for predicting the complexation of structurally diverse compounds with beta-cyclodextrins. Alfonso Pérez-Garrido et al Bioorg. Med. Chem. 17, 896-904, (2009)

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Development of QSAR models for predicting hepatocarcinogenic toxicity of chemicals. Ilaria Massarelli et al Eur. J. Med. Chem. 44, 3658-64, (2009)

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Developing structure-activity relationships for the prediction of hepatotoxicity. Nigel Greene et al Chem. Res. Toxicol. 23, 1215-22, (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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A predictive ligand-based Bayesian model for human drug-induced liver injury. Sean Ekins et al Drug Metab. Dispos. 38, 2302-8, (2010)

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Merck 14,2141

Beil. 1,IV,42

Fieser 1,29 / Fieser 1,130 / Fieser 1,30 / Fieser 3,140 / Fieser 4,22 / Fieser 5,28 / Fieser 8,92 / Fieser 12,517 / Fieser 14,167 / Fieser 15,84

Aldrich MSDS 1, 405:C / Corp MSDS 1 (1), 786:C / FT-IR 1 (1), 83:A / FT-IR 2 (1), 117:D / FT-NMR 1 (1), 122:A / IR-Spectra (2), 49:E / IR-Spectra (3), 51:G / NMR-Reference 2 (1), 81:C / RegBook 1 (1), 81:D / Sax 6, 722 / Structure Index 1, 9:D:10 / Vapor Phase 3, 116:C