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Enzyme Kinetics in Drug Metabolism

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Cover of 'Enzyme Kinetics in Drug Metabolism'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Enzyme Kinetics in Drug Metabolism: Fundamentals and Applications
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    Chapter 2 Fundamentals of Enzyme Kinetics
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    Chapter 3 Different Enzyme Kinetic Models
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    Chapter 4 Reversible Mechanisms of Enzyme Inhibition and Resulting Clinical Significance
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    Chapter 5 Irreversible Enzyme Inhibition Kinetics and Drug–Drug Interactions
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    Chapter 6 Multienzyme Kinetics and Sequential Metabolism
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    Chapter 7 Consideration of the Unbound Drug Concentration in Enzyme Kinetics
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    Chapter 8 Enzyme Kinetics of Oxidative Metabolism: Cytochromes P450
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    Chapter 9 Enzyme Kinetics, Inhibition, and Regioselectivity of Aldehyde Oxidase
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    Chapter 10 Enzyme Kinetics of Conjugating Enzymes: PAPS Sulfotransferase
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    Chapter 11 Enzyme Kinetics of Uridine Diphosphate Glucuronosyltransferases (UGTs)
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    Chapter 12 Principles and Experimental Considerations for In Vitro Transporter Interaction Assays
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    Chapter 13 Rationalizing Underprediction of Drug Clearance from Enzyme and Transporter Kinetic Data: From In Vitro Tools to Mechanistic Modeling
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    Chapter 14 A Structural Model for the Mass Action Kinetic Analysis of P-gp Mediated Transport Through Confluent Cell Monolayers
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    Chapter 15 Systems Biology Approaches to Enzyme Kinetics: Analyzing Network Models of Drug Metabolism
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    Chapter 16 Variability in Human In Vitro Enzyme Kinetics
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    Chapter 17 Sources of interindividual variability.
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    Chapter 18 Case Study 1. Practical Considerations with Experimental Design and Interpretation
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    Chapter 19 Case Study 2. Practical Analytical Considerations for Conducting In Vitro Enzyme Kinetic Studies
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    Chapter 20 Case Study 3. Application of Basic Enzyme Kinetics to Metabolism Studies: Real-Life Examples
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    Chapter 21 Case Study 4. Predicting the Drug Interaction Potential for Inhibition of CYP2C8 by Montelukast
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    Chapter 22 Case Study 5. Deconvoluting Hyperbilirubinemia: Differentiating Between Hepatotoxicity and Reversible Inhibition of UGT1A1, MRP2, or OATP1B1 in Drug Development
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    Chapter 23 Case Study 6. Transporter Case Studies: In Vitro Solutions for Translatable Outcomes
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    Chapter 24 Case Study 7. Compiled Aha Moments in Enzyme Kinetics: Authors’ Experiences
Attention for Chapter 17: Sources of interindividual variability.
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

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Citations

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Chapter title
Sources of interindividual variability.
Chapter number 17
Book title
Enzyme Kinetics in Drug Metabolism
Published in
Methods in molecular biology, February 2014
DOI 10.1007/978-1-62703-758-7_17
Pubmed ID
Book ISBNs
978-1-62703-757-0, 978-1-62703-758-7
Authors

Thummel KE, Lin YS, Kenneth E. Thummel, Yvonne S. Lin, Thummel, Kenneth E., Lin, Yvonne S.

Abstract

The efficacy, safety, and tolerability of drugs are dependent on numerous factors that influence their disposition. A dose that is efficacious and safe for one individual may result in sub-therapeutic or toxic blood concentrations in other individuals. A major source of this variability in drug response is drug metabolism, where differences in pre-systemic and systemic biotransformation efficiency result in variable degrees of systemic exposure (e.g., AUC, C max, and/or C min) following administration of a fixed dose.Interindividual differences in drug biotransformation have been studied extensively. It is well recognized that both intrinsic (such as genetics, age, sex, and disease states) and extrinsic (such as diet, chemical exposures from the environment, and even sunlight) factors play a significant role. For the family of cytochrome P450 enzymes, the most critical of the drug metabolizing enzymes, genetic variation can result in the complete absence or enhanced expression of a functional enzyme. In addition, up- and down-regulation of gene expression, in response to an altered cellular environment, can achieve the same range of metabolic function (phenotype), but often in a less reliably predictable and time-dependent manner. Understanding the mechanistic basis for drug disposition and response variability is essential if we are to move beyond the era of empirical, trial-and-error dose selection and into an age of personalized medicine that brings with it true improvements in health outcomes in the therapeutic treatment of disease.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 64 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 11%
Student > Master 7 11%
Student > Bachelor 6 9%
Other 4 6%
Student > Doctoral Student 3 5%
Other 7 11%
Unknown 30 47%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 13 20%
Biochemistry, Genetics and Molecular Biology 7 11%
Medicine and Dentistry 7 11%
Agricultural and Biological Sciences 3 5%
Environmental Science 1 2%
Other 2 3%
Unknown 31 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 April 2020.
All research outputs
#1,359,472
of 22,765,347 outputs
Outputs from Methods in molecular biology
#167
of 13,090 outputs
Outputs of similar age
#18,814
of 336,539 outputs
Outputs of similar age from Methods in molecular biology
#10
of 658 outputs
Altmetric has tracked 22,765,347 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,090 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done particularly well, scoring higher than 98% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 336,539 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 658 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.