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Systems Pharmacology and Pharmacodynamics

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Cover of 'Systems Pharmacology and Pharmacodynamics'

Table of Contents

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    Book Overview
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    Chapter 1 Systems Pharmacology and Pharmacodynamics: An Introduction
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    Chapter 2 Role of Systems Modeling in Regulatory Drug Approval
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    Chapter 3 Quantitative Systems Pharmacology: Applications and Adoption in Drug Development
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    Chapter 4 Systems Pharmacology: An Overview
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    Chapter 5 Discrete Dynamic Modeling: A Network Approach for Systems Pharmacology
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    Chapter 6 Kinetic Models of Biochemical Signaling Networks
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    Chapter 7 Mechanistic Models of Physiological Control Systems
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    Chapter 8 Foundations of Pharmacodynamic Systems Analysis
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    Chapter 9 Direct, Indirect, and Signal Transduction Response Modeling
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    Chapter 10 Irreversible Pharmacodynamics
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    Chapter 11 Feedback Control Indirect Response Models
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    Chapter 12 Nonlinear Mixed Effects Modeling in Systems Pharmacology
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    Chapter 13 Detecting Pharmacokinetic and Pharmacodynamic Covariates from High-Dimensional Data
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    Chapter 14 Multi-scale Modeling of Drug Action in the Nervous System
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    Chapter 15 Mechanistic Modeling of Inflammation
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    Chapter 16 Systems Pharmacology of Tyrosine Kinase Inhibitor-Associated Toxicities
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    Chapter 17 Translational Modeling of Antibacterial Agents
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    Chapter 18 Viral Dynamic Modeling of Hepatitis C Virus Infection: Past Successes and Future Challenges
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    Chapter 19 Using Systems Pharmacology to Advance Oncology Drug Development
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    Chapter 20 Systems Pharmacology Modeling in Type 2 Diabetes Mellitus
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Title
Systems Pharmacology and Pharmacodynamics
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-44534-2
ISBNs
978-3-31-944532-8, 978-3-31-944534-2
Editors

Donald E. Mager, Holly H.C. Kimko

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 22%
Researcher 2 22%
Student > Postgraduate 2 22%
Student > Master 2 22%
Unknown 1 11%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 2 22%
Mathematics 2 22%
Agricultural and Biological Sciences 1 11%
Computer Science 1 11%
Immunology and Microbiology 1 11%
Other 1 11%
Unknown 1 11%