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Titlebook: Enzyme Kinetics in Drug Metabolism; Fundamentals and App Swati Nagar,Upendra A. Argikar,Donald Tweedie Book 2021Latest edition Springer Sci

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Innocent I. Okwuosa,Sharif S. Khalidotics). The versatility of these enzymes results in some unusual kinetic properties, stemming from the simultaneous interaction of multiple substrates with the CYP active site. Often, the CYPs display kinetics that deviate from standard hyperbolic saturation or inhibition kinetics. Non-Michaelis-Men
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Brazil-Africa Relations: From Boom to Bust?he clearance or toxicity was underestimated by preclinical species. Human AO is much more active than rodent AO, and dogs do not have functional AO. Metabolic products from AO-catalyzed oxidation are generally nonreactive and often they have much lower solubility. AO metabolism is not limited to oxi
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Bakut tswah Bakut,Sagarika Dutthe –SO. group from 3′-phospho-adenosyl-5′-phosphosulfate (PAPS) to a nucleophilic hydroxyl or amine group in a drug substrate. SULTs are stable as dimers, with a highly conserved dimerization domain near the C-terminus of the protein. Crystal structures have revealed flexible loop regions in the nat
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Genevieve Dewar,Brian A. Stewart and exogenous compounds. Altered transporter function, whether due to genetic polymorphism, DDIs, disease, or environmental factors such as dietary constituents, can result in changes in drug efficacy and/or toxicity due to changes in circulating or tissue levels of either drugs or endogenous subst
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Increasing Agricultural Productivity,ent on a number of other cellular factors that can ultimately lead to unexpected behavior. In this review, we discuss the confounding processes and coupled reactions within bioactivation networks that require a systems-level perspective in order to fully understand the time-varying behavior. When co
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https://doi.org/10.1007/978-1-349-18827-7This chapter describes the types of irreversible inhibition of drug-metabolizing enzymes and the methods commonly employed to quantify the irreversible inhibition and subsequently predict the extent and time course of clinically important drug–drug interactions.
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