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Systems Pharmacology and Pharmacodynamics / edited by Donald E. Mager, Holly H.C. Kimko.

SpringerLink Books Biomedical and Life Sciences 2016 Available online

SpringerLink Books Biomedical and Life Sciences 2016
Format:
Book
Contributor:
Mager, Donald E., editor.
Kimko, Holly H.C., editor.
SpringerLink (Online service)
Series:
AAPS advances in the pharmaceutical sciences series 2210-7371 ; 23.
AAPS Advances in the Pharmaceutical Sciences Series, 2210-7371 ; 23
Language:
English
Subjects (All):
Medicine.
Pharmaceutical technology.
Clinical biochemistry.
Biomathematics.
Physical Description:
1 online resource.
Contained In:
Springer eBooks
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2016.
System Details:
text file PDF
Summary:
While systems biology and pharmacodynamics have evolved in parallel, there are significant interrelationships that can enhance drug discovery and enable optimized therapy for each patient. Systems pharmacology is the relatively new discipline that is the interface between these two methods. This book is the first to cover the expertise from systems biology and pharmacodynamics researchers, describing how systems pharmacology may be developed and refined further to show practical applications in drug development. There is a growing awareness that pharmaceutical companies should reduce the high attrition in the pipeline due to insufficient efficacy or toxicity found in proof-of-concept and/or Phase II studies. Systems Pharmacology and Pharmacodynamics discusses the framework for integrating information obtained from understanding physiological/pathological pathways (normal body function system vs. perturbed system due to disease) and pharmacological targets in order to predict clinical efficacy and adverse events through iterations between mathematical modeling and experimentation.
Contents:
Role of Systems Modeling in Regulatory Drug Approval
Quantitative Systems Pharmacology: Applications and Adoption in Drug Development
Systems Pharmacology: An Overview
Discrete dynamic modeling: a network approach for systems pharmacology
Kinetic Models of Biochemical Signaling Networks
Mechanistic Models of Physiological Control Systems
Foundations of Pharmacodynamic Systems Analysis
Direct, Indirect, and Signal Transduction Response Modeling
Irreversible Pharmacodynamics
Feedback Control Indirect Response Models
Nonlinear Mixed Effects Modeling in Systems Pharmacology
Detecting Pharmacokinetic and Pharmacodynamic Covariates From High-Dimensional Data
Multi-Scale Modeling of Drug Action in the Nervous System
Mechanistic Modeling of Inflammation
Systems Pharmacology of Tyrosine Kinase Inhibitor-Associated Toxicities
Translational Modeling of Antibacterial Agents
Viral Dynamic Modeling of Hepatitis C Virus Infection: Past Successes and Future Challenges
Using Systems Pharmacology to Advance Oncology Drug Development
Systems Pharmacology Modeling in Type 2 Diabetes Mellitus.
Other Format:
Printed edition:
ISBN:
9783319445342
Access Restriction:
Restricted for use by site license.

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