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

Dose-Response Relationship: Overview01:03

Dose-Response Relationship: Overview

3.2K
Agonists can bind with and activate receptors, resulting in the formation of drug-receptor complexes. Once formed, these complexes catalyze many biochemical processes at the cellular level and subsequently induce a pharmacologic response. The degree of response is directly proportional to the fraction of activated receptors, which in turn, depends on the concentration of the drug at the receptor site as well as the sensitivity of the receptor. An increase in the administered dose contributes to...
3.2K
Fundamental Mathematical Principles in Pharmacokinetics: Calculus and Graphs01:21

Fundamental Mathematical Principles in Pharmacokinetics: Calculus and Graphs

1.5K
The fundamental mathematical principles, such as calculus and graphs, play crucial roles in analyzing drug movement and determining pharmacokinetic parameters. Differential calculus examines rates of change and helps to determine the dissolution rate of drugs in biofluids, as well as how drug concentrations change over time. For instance, it can help calculate the rate of elimination of a drug from the body based on its concentration-time profile.
On the other hand, integral calculus focuses on...
1.5K
Analysis of Population Pharmacokinetic Data01:12

Analysis of Population Pharmacokinetic Data

266
Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
266
Calibration Curves: Linear Least Squares01:20

Calibration Curves: Linear Least Squares

1.3K
A calibration curve is a plot of the instrument's response against a series of known concentrations of a substance. This curve is used to set the instrument response levels, using the substance and its concentrations as standards. Alternatively, or additionally, an equation is fitted to the calibration curve plot and subsequently used to calculate the unknown concentrations of other samples reliably.
For data that follow a straight line, the standard method for fitting is the linear...
1.3K
Survival Curves01:18

Survival Curves

166
Survival curves are graphical representations that depict the survival experience of a population over time, offering an intuitive way to track the proportion of individuals who remain event-free at each time point. These curves are widely used in fields such as medicine, public health, and reliability engineering to visualize and compare survival probabilities across different groups or conditions.
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
166
Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis00:59

Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis

66
Noncompartmental analyses offer an alternative method for describing drug pharmacokinetics without relying on a specific compartmental model. In this approach, the drug's pharmacokinetics are assumed to be linear, with the terminal phase log-linear. This assumption allows for simplified analysis and interpretation of the drug's behavior in the body.
One important characteristic of noncompartmental analyses is that drug exposure increases proportionally with increasing doses. This...
66

You might also read

Related Articles

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

Sort by
Same author

VPS37A loss creates CASP8-dependent vulnerability via the MAP3K7-NF-κB-CFLAR axis.

Cancer gene therapy·2026
Same author

Exploring Inflation-Related Public Discourse Relevant to Social Determinants of Health Using Social Media Data.

International journal of environmental research and public health·2026
Same author

Effectiveness of Physical Activity Interventions Using Wearables and Smartphone Applications for Individuals With Cardiovascular Diseases and Stroke: A Systematic Review and Meta-Analysis.

Journal of the American Heart Association·2026
Same author

Correction: PIGN spatiotemporally regulates the spindle assembly checkpoint proteins in leukemia transformation and progression.

Scientific reports·2026
Same author

Establishment of Patient-Derived Organoids for Pediatric Cancer Research.

Cancers·2026
Same author

Trends in primary surgery and overall survival in non-metastatic anal cancer: a population-based analysis.

The oncologist·2026

Related Experiment Video

Updated: Jul 9, 2025

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification ADCI and Dose Estimation
10:33

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification ADCI and Dose Estimation

Published on: September 4, 2017

15.8K

REAP-2: An interactive quantitative tool for robust and efficient dose-response curve estimation.

Xinying Fang1, Xinyi Liu1, Vernon M Chinchilli1

  • 1Department of Public Health Sciences, Pennsylvania State University, Hershey, PA, USA.

Journal of Clinical and Translational Science
|November 29, 2023
PubMed
Summary
This summary is machine-generated.

REAP-2 offers enhanced dose-response curve estimation for drug potency assessment. This tool utilizes penalized beta regression for reliable dose estimation and uncertainty quantification in in vitro studies.

Keywords:
ED50IC50Shinycancer biologydose-response estimationdrug potencymedian-effect equationquantitative toolrobust beta regressionsigmoid functionsoftware

More Related Videos

Stepwise Dosing Protocol for Increased Throughput in Label-Free Impedance-Based GPCR Assays
06:13

Stepwise Dosing Protocol for Increased Throughput in Label-Free Impedance-Based GPCR Assays

Published on: February 21, 2020

6.6K
A Semi-Quantitative Drug Affinity Responsive Target Stability DARTS assay for studying Rapamycin/mTOR interaction
00:05

A Semi-Quantitative Drug Affinity Responsive Target Stability DARTS assay for studying Rapamycin/mTOR interaction

Published on: August 27, 2019

16.3K

Related Experiment Videos

Last Updated: Jul 9, 2025

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification ADCI and Dose Estimation
10:33

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification ADCI and Dose Estimation

Published on: September 4, 2017

15.8K
Stepwise Dosing Protocol for Increased Throughput in Label-Free Impedance-Based GPCR Assays
06:13

Stepwise Dosing Protocol for Increased Throughput in Label-Free Impedance-Based GPCR Assays

Published on: February 21, 2020

6.6K
A Semi-Quantitative Drug Affinity Responsive Target Stability DARTS assay for studying Rapamycin/mTOR interaction
00:05

A Semi-Quantitative Drug Affinity Responsive Target Stability DARTS assay for studying Rapamycin/mTOR interaction

Published on: August 27, 2019

16.3K

Area of Science:

  • Pharmacology and Drug Development
  • Biostatistics
  • Computational Biology

Background:

  • Accurate dose-response curve estimation is crucial for drug development.
  • Existing tools may lack user-friendliness or robust statistical methods.
  • REAP-2 addresses these limitations with an updated approach.

Purpose of the Study:

  • To introduce REAP-2, an interactive tool for robust and efficient assessment of drug potency.
  • To provide user-friendly dose-response curve estimation for in vitro studies.
  • To implement an updated estimation method using penalized beta regression.

Main Methods:

  • Development of REAP-2 with a redesigned user interface.
  • Implementation of penalized beta regression for dose estimation.
  • Statistical testing for model comparisons and uncertainty quantification.

Main Results:

  • Penalized beta regression demonstrates high reliability and accuracy in dose estimation.
  • REAP-2 provides enhanced uncertainty quantification.
  • The tool facilitates effective drug comparison through statistical testing.

Conclusions:

  • REAP-2 offers a significant advancement in dose-response curve estimation.
  • The updated methodology ensures reliable potency assessment and drug comparison.
  • The user-friendly interface supports efficient analysis of in vitro drug studies.