Griseofulvin
Griseofulvin structure
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Common Name | Griseofulvin | ||
|---|---|---|---|---|
| CAS Number | 126-07-8 | Molecular Weight | 352.766 | |
| Density | 1.4±0.1 g/cm3 | Boiling Point | 570.4±50.0 °C at 760 mmHg | |
| Molecular Formula | C17H17ClO6 | Melting Point | 218-220 °C(lit.) | |
| MSDS | Chinese USA | Flash Point | 228.0±29.1 °C | |
| Symbol |
GHS07, GHS08 |
Signal Word | Danger | |
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Cheminformatics analysis of assertions mined from literature that describe drug-induced liver injury in different species.
Chem. Res. Toxicol. 23 , 171-83, (2010) Drug-induced liver injury is one of the main causes of drug attrition. The ability to predict the liver effects of drug candidates from their chemical structures is critical to help guide experimental drug discovery projects toward safer medicines. In this st... |
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Translating clinical findings into knowledge in drug safety evaluation--drug induced liver injury prediction system (DILIps).
J. Sci. Ind. Res. 65(10) , 808, (2006) Drug-induced liver injury (DILI) is a significant concern in drug development due to the poor concordance between preclinical and clinical findings of liver toxicity. We hypothesized that the DILI types (hepatotoxic side effects) seen in the clinic can be tra... |
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Convenient QSAR model for predicting the complexation of structurally diverse compounds with β-cyclodextrins
Bioorg. Med. Chem. 17 , 896-904, (2009) This paper reports a QSAR study for predicting the complexation of a large and heterogeneous variety of substances (233 organic compounds) with beta-cyclodextrins (beta-CDs). Several different theoretical molecular descriptors, calculated solely from the mole... |
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The Japanese toxicogenomics project: application of toxicogenomics.
Mol. Nutr. Food. Res. 54 , 218-27, (2010) Biotechnology advances have provided novel methods for the risk assessment of chemicals. The application of microarray technologies to toxicology, known as toxicogenomics, is becoming an accepted approach for identifying chemicals with potential safety proble... |
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Developing structure-activity relationships for the prediction of hepatotoxicity.
Chem. Res. Toxicol. 23 , 1215-22, (2010) Drug-induced liver injury is a major issue of concern and has led to the withdrawal of a significant number of marketed drugs. An understanding of structure-activity relationships (SARs) of chemicals can make a significant contribution to the identification o... |
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A predictive ligand-based Bayesian model for human drug-induced liver injury.
Drug Metab. Dispos. 38 , 2302-8, (2010) Drug-induced liver injury (DILI) is one of the most important reasons for drug development failure at both preapproval and postapproval stages. There has been increased interest in developing predictive in vivo, in vitro, and in silico models to identify comp... |
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Using DVS-NIR to assess the water sorption behaviour and stability of a griseofulvin/PVP K30 solid dispersion.
Int. J. Pharm. 495 , 999-1004, (2015) The purpose of this work was to investigate the distribution of water in a physically unstable amorphous solid dispersion (polyvinylpyrrolidone (PVP) and griseofulvin (as a model hydrophobic drug)), both as the sample absorbs water and during prolonged exposu... |
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Solid phospholipid nano-particles: investigations into formulation and dissolution properties of griseofulvin.
Int. J. Pharm. 467(1-2) , 42-7, (2014) Solid phospholipid (PL) nanoparticles with griseofulvin (GRIS) as a model drug were prepared by co-spray drying. Their dissolution properties were compared with formulations containing the physical blends of the native crystalline drug and excipient materials... |
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Fasted-state simulated intestinal fluid "FaSSIF-C", a cholesterol containing intestinal model medium for in vitro drug delivery development.
J. Pharm. Sci. 104 , 2213-24, (2015) A set of biorelevant media "fasted-state simulated intestinal fluid with cholesterol (FaSSIF-C)" for the in vitro study of intestinal drug dissolution in the duodenum was developed. These contain cholesterol at the same levels as in human bile: the cholestero... |
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Computational modeling of novel inhibitors targeting the Akt pleckstrin homology domain.
Bioorg. Med. Chem. 17 , 6983-92, (2009) Computational modeling continues to play an important role in novel therapeutics discovery and development. In this study, we have investigated the use of in silico approaches to develop inhibitors of the pleckstrin homology (PH) domain of AKT (protein kinase... |