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- Volume 14, Issue 11, 2014
Current Topics in Medicinal Chemistry - Volume 14, Issue 11, 2014
Volume 14, Issue 11, 2014
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In Vitro Human Hepatocyte-Based Experimental Systems for the Evaluation of Human Drug Metabolism, Drug-Drug Interactions, and Drug Toxicity in Drug Development
By Albert P. LiSpecies difference in drug metabolism and drug toxicity is a well-established phenomenon. As a result, the classical paradigm of preclinical testing of drug candidates in animals may not be appropriate. One preclinical approach to evaluate human drug properties, especially ADMET (absorption, disposition, metabolism, elimination, and toxicity) properties, is to apply in vitro experimental systems with relevant human properties. T Read More
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QM/MM Modelling of Drug-Metabolizing Enzymes
Authors: Richard Lonsdale and Adrian J. MulhollandMaking reliable predictions of drug metabolites requires detailed knowledge of the chemical reactivity of drug metabolizing enzymes. Cytochrome P450 enzymes (P450s) play an important role in drug metabolism. Numerous adverse drug reactions have been identified that occur as a result of interactions with P450s. These enzymes display complex reactivity and the active oxidizing species is highly reactive and difficult to isolat Read More
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Ritonavir Analogues as a Probe for Deciphering the Cytochrome P450 3A4 Inhibitory Mechanism
Authors: Irina F. Sevrioukova and Thomas L. PoulosInactivation of human drug-metabolizing cytochrome P450 3A4 (CYP3A4) could lead to serious adverse events such as drug-drug interactions and toxicity. However, when properly controlled, CYP3A4 inhibition may be beneficial as it can improve clinical efficacy of co-administered therapeutics that otherwise are quickly metabolized by CYP3A4. Currently, the CYP3A4 inhibitor ritonavir and its derivative cobicistat are prescribed t Read More
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Integrative Approaches for Predicting In Vivo Effects of Chemicals from their Structural Descriptors and the Results of Short-Term Biological Assays
Authors: Yen Sia Low, Alexander Yeugenyevich Sedykh, Ivan Rusyn and Alexander TropshaCheminformatics approaches such as Quantitative Structure Activity Relationship (QSAR) modeling have been used traditionally for predicting chemical toxicity. In recent years, high throughput biological assays have been increasingly employed to elucidate mechanisms of chemical toxicity and predict toxic effects of chemicals in vivo. The data generated in such assays can be considered as biological descriptors of chemical Read More
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Prediction of Cytochrome P450 Mediated Metabolism of Designer Drugs
Authors: Line Marie Nielsen, Kristian Linnet, Lars Olsen and Patrik RydbergThe analysis of designer drugs in human plasma is highly complex, as most of these drugs are metabolized quickly, and often into multiple products. For novel designer drugs, it is common that reference compounds for these metabolites are unavailable at the time of analysis. Hence, the usage of in silico procedures to accurately predict the chemical structures of these metabolites would be very useful. In this study, t Read More
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Mutagenicity of N-oxide Containing Heterocycles and Related Compounds: Experimental and Theoretical Studies
In the development of new drugs, it is very important to know the effects these may bring to those who consume them. Drugs which act upon certain diseases must not cause toxic side effects on healthy organs. These toxic side effects can be quite varied, i.e. mutagenicity, clastogenicity, teratogenicity, etc., but undoubtedly the mutagenicity officiate in the selection process, during preclinical testing, to advance in clinical t Read More
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In Vitro Microsomal Hepatic Metabolism of Antiasthmatic Prototype LASSBio-448
In this paper, the in vitro microsomal hepatic metabolism of the antiasthmatic prototype LASSBio-448 and the structural identification of its major phase I metabolites were described. Incubation with pooled rat liver microsomes converted LASSBio-448 to the following major metabolites: O-demethyl-LASSBio-448 (M1) and 3,4-dihydroxyphenyl- LASSBio-448 (M2). These metabolites were formed by the dealkylation step of 3,4 Read More
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Tuning hERG Out: Antitarget QSAR Models for Drug Development
Several non-cardiovascular drugs have been withdrawn from the market due to their inhibition of hERG K+ channels that can potentially lead to severe heart arrhythmia and death. As hERG safety testing is a mandatory FDArequired procedure, there is a considerable interest for developing predictive computational tools to identify and filter out potential hERG blockers early in the drug discovery process. In this study, we aim Read More
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Volumes & issues
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Volume 25 (2025)
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Volume 24 (2024)
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Volume 23 (2023)
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Volume 22 (2022)
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Volume 21 (2021)
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Volume 20 (2020)
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Volume 19 (2019)
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Volume 18 (2018)
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Volume 17 (2017)
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Volume 16 (2016)
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Volume 15 (2015)
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Volume 14 (2014)
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Volume 13 (2013)
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Volume 12 (2012)
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Volume 11 (2011)
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Volume 10 (2010)
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Volume 9 (2009)
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Volume 8 (2008)
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Volume 7 (2007)
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Volume 6 (2006)
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Volume 5 (2005)
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Volume 4 (2004)
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Volume 3 (2003)
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Volume 2 (2002)
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Volume 1 (2001)
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