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Impact of amiodarone and cisapride on simulated human ventricular
Impact of amiodarone and cisapride on simulated human ventricular

... Both drugs show similar prolongation of the QT interval, although they present different electrophysiological properties in the single-cell as well as in tissue simulations of cardiac excitation propagation. These computer simulations help to better understand the underlying mechanisms responsible f ...
Estriol - HormoneBalance.org
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- University of Essex Research Repository

... kairomones, allelochemicals or pheromones play a crucial role in food web interactions. Such chemicals can be exploited by an individual in order to find prey or mates, or to avoid predators. Consequently, chemically mediated interactions can have a strong effect on community structure and population ...
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... metabolism at high concentrations (Komoroski et al., 2004). Several studies have also suggested that hyperforin or St. John’s Wort can also affect the drug transporter multidrug resistance protein 1/P-glycoprotein (Dresser et al., 2003; Weber et al., 2004). Dan-Shen (Radix salviae Miltiorhizae), a T ...
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Safety and Side Effects of Cannabidiol, a Cannabis sativa Constituent
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Introduction to Inhibitors
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Chapter 6 - ECOLOGICAL EFFECTS OF MERCURY
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Low potential of dobutamine and dopexamine to block intestinal

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Effect of levetiracetam on penicillin induced epileptic activity in rats
Effect of levetiracetam on penicillin induced epileptic activity in rats

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M7 Step 4 Assessment and control of DNA reactive (mutagenic

... the bacterial mutagenicity assay is used to assess the mutagenic potential and the need for controls. Structure-based assessments are useful for predicting bacterial mutagenicity outcomes based upon the established knowledge. There are a variety of approaches to conduct this evaluation including a r ...
patrick_tb_ch21
patrick_tb_ch21

... Feedback: The aromatic ring interacts with an extra hydrophobic binding region by van der Waals interactions. This is the main reason for the increased activity although the increased hydrophobicity should also increase the levels of drug crossing the blood brain barrier. Aromatic rings are hydropho ...
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Toxicodynamics



Toxicodynamics, termed pharmacodynamics in pharmacology, describes the dynamic interactions of a toxicant with a biological target and its biological effects. A biological target, also known as the site of action, can be binding proteins, ion channels, DNA, or a variety of other receptors. When a toxicant enters an organism, it can interact with these receptors and produce structural or functional alterations. The mechanism of action of the toxicant, as determined by a toxicant’s chemical properties, will determine what receptors are targeted and the overall toxic effect at the cellular level and organismal level.Toxicants have been grouped together according to their chemical properties by way of quantitative structure-activity relationships (QSARs), which allows prediction of toxic action based on these properties. endocrine disrupting chemicals (EDCs) and carcinogens are examples of classes of toxicants that can act as QSARs. EDCs mimic or block transcriptional activation normally caused by natural steroid hormones. These types of chemicals can act on androgen receptors, estrogen receptors and thyroid hormone receptors. This mechanism can include such toxicants as dichlorodiphenyltrichloroethane (DDE) and polychlorinated biphenyls (PCBs). Another class of chemicals, carcinogens, are substances that cause cancer and can be classified as genotoxic or nongenotoxic carcinogens. These categories include toxicants such as polycyclic aromatic hydrocarbon (PAHs) and carbon tetrachloride (CCl4). The process of toxicodynamics can be useful for application in environmental risk assessment by implementing toxicokinetic-toxicodynamic (TKTD) models. TKTD models include phenomenas such as time-varying exposure, carry-over toxicity, organism recovery time, effects of mixtures, and extrapolation to untested chemicals and species. Due to their advantages, these types of models may be more applicable for risk assessment than traditional modeling approaches.
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