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

Measurement of Bioavailability: Pharmacodynamic Methods01:20

Measurement of Bioavailability: Pharmacodynamic Methods

221
Pharmacodynamic methods provide insights into a drug's effects on physiological processes over time and play a crucial role in understanding bioavailability and therapeutic efficacy. These methods can be broadly classified into acute pharmacological and therapeutic response approaches, each with distinct mechanisms and applications.The acute pharmacological response method directly correlates a drug's physiological effects, such as ECG or pupil diameter changes, to its time course in the body.
221
Quantitative Aspects of Drug-Receptor Interaction01:30

Quantitative Aspects of Drug-Receptor Interaction

1.7K
The receptor occupancy theory connects a drug's response to the number of occupied receptors. With higher drug concentrations, more receptors are occupied, leading to increased responses. The formation of drug-receptor complexes involves association and dissociation rates, which reach equilibrium when the forward and backward reactions are equal. The equilibrium association constant (Ka) and its inverse, the equilibrium dissociation constant (Kd), indicate drug affinity. Higher Ka and lower...
1.7K
Mechanistic Models: Overview of Compartment Models01:21

Mechanistic Models: Overview of Compartment Models

339
Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
339
Dose-Response Relationship: Overview01:03

Dose-Response Relationship: Overview

4.7K
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...
4.7K
Agonism and Antagonism: Quantification01:14

Agonism and Antagonism: Quantification

952
When drugs are administered, they can elicit either an agonist or antagonist effect on the body. Agonism occurs when a drug activates a specific receptor, triggering a biological response. On the other hand, antagonism happens when a drug binds to the same receptors but blocks their activation, thereby preventing a biological response.
To quantify these effects, researchers use a dose-response curve, which provides valuable information about the potency and efficacy of a drug. Potency refers to...
952
Pharmacodynamics: Overview and Principles01:21

Pharmacodynamics: Overview and Principles

2.7K
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...
2.7K

You might also read

Related Articles

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

Sort by
Same author

A pan-cancer single-cell analysis of intratumoral copy number diversity and evolution.

Cancer discovery·2026
Same author

RHOV Is a Detachment-Responsive Rho GTPase Necessary for Ovarian Cancer Peritoneal Metastasis.

Cancer research·2026
Same author

Radiation Oncology-Biology Integration Network: Bridging the Gap between Biological Research and Clinical Practice.

Clinical cancer research : an official journal of the American Association for Cancer Research·2026
Same author

HER2 heterogeneous breast cancer models reveal novel therapeutic targets and subclonal dynamics during evolution to resistance to HER2-targeted therapies.

Cancer discovery·2026
Same author

The integrated stress response promotes immune evasion through lipocalin 2.

Nature·2026
Same author

Hydrogel array patterning using 3D-printed microfluidic inserts to control cell-cell and cell-ECM interactions.

bioRxiv : the preprint server for biology·2026
Same journal

Inhibiting PPM1D Perturbs Mitochondrial Integrity to Stimulate cGAS-STING Signaling and Antitumor Immunity.

Cancer research·2026
Same journal

BRD9 Degraders Unleash GBAF Chromatin Remodeling Activity in Synovial Sarcoma.

Cancer research·2026
Same journal

Virtual Tumors Enable Prediction of Personalized Therapeutic Combinations for Non-Small Cell Lung Cancer.

Cancer research·2026
Same journal

Opportunities to enhance cancer research through advocate-researcher partnerships.

Cancer research·2026
Same journal

EGFR N-Glycosylation Catalyzed by NDST2 Promotes Lenvatinib Resistance in Hepatocellular Carcinoma.

Cancer research·2026
Same journal

Immune checkpoint blockade augments lymphodepleting chemotherapy-induced antitumor immunity by expanding effector CD8+ T cell clones.

Cancer research·2026
See all related articles

Related Experiment Video

Updated: Jan 11, 2026

An Organotypic High Throughput System for Characterization of Drug Sensitivity of Primary Multiple Myeloma Cells
09:41

An Organotypic High Throughput System for Characterization of Drug Sensitivity of Primary Multiple Myeloma Cells

Published on: July 15, 2015

9.0K

BESTDR Enables Bayesian Quantification of Mechanism-Specific Drug Responses.

Thomas O McDonald1,2,3,4, Simone Bruno1,2,3, James P Roney5

  • 1Department of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts.

Cancer Research
|November 17, 2025
PubMed
Summary
This summary is machine-generated.

We developed Bayesian Estimation of STochastic processes for Dose-Response (BESTDR) to model cell growth and drug responses. This framework accurately quantifies cellular dynamics, improving preclinical drug development and mechanism-specific analyses.

More Related Videos

Diagonal Method to Measure Synergy Among Any Number of Drugs
12:08

Diagonal Method to Measure Synergy Among Any Number of Drugs

Published on: June 21, 2018

19.4K
Comprehensive Analysis of Drug Response using the FLICK Assay
09:42

Comprehensive Analysis of Drug Response using the FLICK Assay

Published on: June 6, 2025

677

Related Experiment Videos

Last Updated: Jan 11, 2026

An Organotypic High Throughput System for Characterization of Drug Sensitivity of Primary Multiple Myeloma Cells
09:41

An Organotypic High Throughput System for Characterization of Drug Sensitivity of Primary Multiple Myeloma Cells

Published on: July 15, 2015

9.0K
Diagonal Method to Measure Synergy Among Any Number of Drugs
12:08

Diagonal Method to Measure Synergy Among Any Number of Drugs

Published on: June 21, 2018

19.4K
Comprehensive Analysis of Drug Response using the FLICK Assay
09:42

Comprehensive Analysis of Drug Response using the FLICK Assay

Published on: June 6, 2025

677

Area of Science:

  • Pharmacology
  • Cell Biology
  • Computational Biology

Background:

  • Understanding cellular drug responses is crucial for drug development.
  • Traditional models lack detailed quantification of cell dynamics like division and death rates.
  • Limitations hinder accurate preclinical drug screening and mechanism elucidation.

Purpose of the Study:

  • To introduce Bayesian Estimation of STochastic processes for Dose-Response (BESTDR) for improved dose-response modeling.
  • To quantify concentration-response relationships using longitudinal cell count data.
  • To enhance preclinical drug development by providing mechanistic insights.

Main Methods:

  • Developed BESTDR, a Bayesian framework for modeling cell growth and treatment response dynamics.
  • Utilized longitudinal cell count data for estimating concentration-response relationships.
  • Employed hierarchical modeling for multi-state systems and high-throughput screening.

Main Results:

  • BESTDR accurately quantifies rates in multi-state cellular systems.
  • Validation with synthetic and experimental data confirmed BESTDR's robustness.
  • The framework successfully integrates mechanistic modeling of cytotoxic and cytostatic effects.

Conclusions:

  • BESTDR enhances dose-response studies by providing mechanistic insights.
  • Facilitates robust drug comparisons and mechanism-specific analyses in preclinical research.
  • Offers a versatile tool for drug discovery and informed experimental design.