Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Pharmacodynamics: Overview and Principles01:21

Pharmacodynamics: Overview and Principles

4.3K
Pharmacodynamics is a scientific field that delves into drugs' intricate biochemical, cellular, and physiological effects on the human body. The study of pharmacodynamics helps us understand how drugs interact with the body and elicit various responses.
Most drugs' effects result from their interactions with drug receptors or targets within the body. These interactions trigger specific responses at the cellular or systemic level. Drug receptors can be found on the surfaces of cells or...
4.3K
Fundamental Mathematical Principles in Pharmacokinetics: Mathematical Expressions and Units01:19

Fundamental Mathematical Principles in Pharmacokinetics: Mathematical Expressions and Units

1.8K
Mathematical principles play a crucial role in pharmacokinetics, providing a framework for understanding and quantifying drug distribution and elimination dynamics in the body. By utilizing mathematical expressions and units, pharmacologists can accurately characterize the behavior of drugs, optimize dosing regimens, and predict therapeutic outcomes.
One significant application of mathematics in pharmacokinetics is the characterization of drug distribution through the volume of distribution...
1.8K
Model Approaches for Pharmacokinetic Data: Physiological Models01:15

Model Approaches for Pharmacokinetic Data: Physiological Models

360
Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...
360
Biopharmaceutics and Pharmacokinetics: Overview01:28

Biopharmaceutics and Pharmacokinetics: Overview

5.2K
Understanding drugs, drug products, and their performance in pharmaceutical science is pivotal. Drugs, whether simple molecules or complex compounds, are designed to interact with the body's biological systems to diagnose, treat, or prevent diseases. Drug products include various delivery systems such as tablets, capsules, injections, and inhalers. The performance of these drug products is gauged by their ability to deliver the active ingredient to the desired site of action at the...
5.2K
Pharmacokinetic–Pharmacodynamic Relationship: Problems01:24

Pharmacokinetic–Pharmacodynamic Relationship: Problems

105
The empirical approach to drug therapy optimization relies on correlating pharmacological response with administered dosage. Such an approach can be costly, time-consuming, and often yields poor correlation due to variables like formulation factors and drug elimination characteristics. A more precise approach correlates response with plasma drug concentration or the amount of drug in the body, rather than dosage. This is achieved through pharmacokinetic-pharmacodynamic (PK/PD) modeling, which...
105
Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

467
Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
467

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Association of a Polygenic Risk Score with Diagnosis and Outcomes in Idiopathic Pulmonary Fibrosis.

American journal of respiratory and critical care medicine·2026
Same author

Action-Based Encoding Improves Instruction Following in Children and Adolescents.

Behavioral sciences (Basel, Switzerland)·2026
Same author

RhoG, Rac1 and Cdc42 cooperation in cell protrusion revealed by multiplexed optogenetics and biosensor imaging.

bioRxiv : the preprint server for biology·2026
Same author

Quantitative analysis of fibroblast migration reveals migratory states characterized by force generation, cell shape and motion.

bioRxiv : the preprint server for biology·2026
Same author

Genome-wide association study of Idiopathic Pulmonary Fibrosis susceptibility using clinically-curated European-ancestry datasets.

The European respiratory journal·2026
Same author

Moving towards a global perspective of the genetics of idiopathic pulmonary fibrosis.

American journal of respiratory and critical care medicine·2026
Same journal

Classification and correlation signatures of chiral spin liquids on the pyrochlore lattice.

Reports on progress in physics. Physical Society (Great Britain)·2026
Same journal

Physical sampling for computational photography.

Reports on progress in physics. Physical Society (Great Britain)·2026
Same journal

A comprehensive review on master stability functions in complex network dynamics.

Reports on progress in physics. Physical Society (Great Britain)·2026
Same journal

Switchable band alignment in 2D-perovskite/WS<sub>2</sub>heterostructures for tunable exciton transport and valley polarization.

Reports on progress in physics. Physical Society (Great Britain)·2026
Same journal

Chiral graviton modes in fermionic Fractional Chern Insulators.

Reports on progress in physics. Physical Society (Great Britain)·2026
Same journal

Bound states in the continuum in plasmonic structures.

Reports on progress in physics. Physical Society (Great Britain)·2026
See all related articles

Related Experiment Video

Updated: Apr 19, 2026

Measurement of Smooth Muscle Function in the Isolated Tissue Bath-applications to Pharmacology Research
09:05

Measurement of Smooth Muscle Function in the Isolated Tissue Bath-applications to Pharmacology Research

Published on: January 19, 2015

150.7K

From Physics to Pharmacology?

Richard J Allen1, Timothy C Elston1

  • 1Department of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.

Reports on Progress in Physics. Physical Society (Great Britain)
|December 9, 2014
PubMed
Summary
This summary is machine-generated.

Systems biology interprets complex biological data as dynamical systems, mapping component interactions into networks. Understanding these networks

More Related Videos

A Computerized Test Battery to Study Pharmacodynamic Effects on the Central Nervous System of Cholinergic Drugs in Early Phase Drug Development
07:02

A Computerized Test Battery to Study Pharmacodynamic Effects on the Central Nervous System of Cholinergic Drugs in Early Phase Drug Development

Published on: February 11, 2019

10.4K
Network Pharmacology Prediction and Metabolomics Validation of the Mechanism of Fructus Phyllanthi against Hyperlipidemia
11:06

Network Pharmacology Prediction and Metabolomics Validation of the Mechanism of Fructus Phyllanthi against Hyperlipidemia

Published on: April 7, 2023

3.0K

Related Experiment Videos

Last Updated: Apr 19, 2026

Measurement of Smooth Muscle Function in the Isolated Tissue Bath-applications to Pharmacology Research
09:05

Measurement of Smooth Muscle Function in the Isolated Tissue Bath-applications to Pharmacology Research

Published on: January 19, 2015

150.7K
A Computerized Test Battery to Study Pharmacodynamic Effects on the Central Nervous System of Cholinergic Drugs in Early Phase Drug Development
07:02

A Computerized Test Battery to Study Pharmacodynamic Effects on the Central Nervous System of Cholinergic Drugs in Early Phase Drug Development

Published on: February 11, 2019

10.4K
Network Pharmacology Prediction and Metabolomics Validation of the Mechanism of Fructus Phyllanthi against Hyperlipidemia
11:06

Network Pharmacology Prediction and Metabolomics Validation of the Mechanism of Fructus Phyllanthi against Hyperlipidemia

Published on: April 7, 2023

3.0K

Area of Science:

  • Biological Sciences
  • Computational Biology
  • Biophysics

Background:

  • The explosion of biological data necessitates interpreting biological mechanisms as complex dynamical systems.
  • Understanding component interactions (proteins, genes, metabolites) within biological networks is crucial.
  • Biological networks exhibit properties like robustness, plasticity, and sensitivity, with aberrant behavior linked to disease.

Purpose of the Study:

  • To review the progress and future challenges in applying a systems approach to biology.
  • To highlight the importance of network analysis and mathematical modeling in understanding biological systems.
  • To emphasize the implications of systems-level understanding for disease treatment.

Main Methods:

  • Network reconstruction from biological data to represent component interactions.
  • Mathematical modeling to investigate the behavior of biological networks.
  • Analysis of system-level properties such as robustness, plasticity, and sensitivity.

Main Results:

  • Biological networks are complex dynamical systems requiring quantitative description.
  • Network properties are key to understanding biological function and disease mechanisms.
  • Systems biology provides a framework for integrating diverse biological data.

Conclusions:

  • A systems approach is essential for a comprehensive understanding of biological mechanisms.
  • Further research in systems biology can lead to novel disease treatment strategies.
  • Addressing future challenges in systems biology will advance biological discovery.