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

Modified-Release Drug Delivery Systems: Site-Targeted01:24

Modified-Release Drug Delivery Systems: Site-Targeted

109
Site-targeted drug delivery systems enhance therapeutic efficacy while minimizing systemic toxicity and treatment costs. Unlike conventional methods, these systems ensure precise drug delivery, improving bioavailability and reducing side effects. Targeted drug delivery is classified into three levels. First-order targeting directs drugs to the capillary beds of specific organs or tissues. Second-order targets specific cell types, such as tumor cells, using receptor-mediated interactions.
109
Site-Targeted Drug Delivery Systems: Polymeric Carriers01:24

Site-Targeted Drug Delivery Systems: Polymeric Carriers

109
Polymeric carriers enhance targeted drug delivery by increasing efficacy while minimizing off-target effects. These carriers comprise a biodegradable polymeric backbone integrated with functional elements that enable targeting, improve physicochemical properties, and regulate drug release.Targeting MechanismsThe targeting ability of polymeric carriers is mediated by a homing device, which is a molecular recognition component designed to selectively bind to specific tissues or cells. Monoclonal...
109
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

701
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
701
Biopharmaceutics and Pharmacokinetics: Overview01:28

Biopharmaceutics and Pharmacokinetics: Overview

5.0K
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...
5.0K
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

311
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
311
Biopharmaceutical Factors Influencing Drug Product Design: Overview01:22

Biopharmaceutical Factors Influencing Drug Product Design: Overview

473
Rational drug product design integrates knowledge of the drug’s physicochemical properties, formulation components, manufacturing techniques, and intended route of administration. Each factor influences the drug’s performance, including how it is released, absorbed, and eliminated in the body.The physicochemical properties of a drug—such as solubility, stability, and particle size—affect its compatibility with excipients and the choice of dosage form. Excipients, though...
473

You might also read

Related Articles

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

Sort by
Same author

Construction of ultra-heat-resistant explosives <i>via</i> a strategy of building hydrogen-bond networks in heterocyclic bridges.

Chemical communications (Cambridge, England)·2026
Same author

Correction: A Supervised Explainable Machine Learning Model for Perioperative Neurocognitive Disorder in Liver-Transplantation Patients and External Validation on the Medical Information Mart for Intensive Care IV Database: Retrospective Study.

Journal of medical Internet research·2026
Same author

Heavy metal migration in sediment of ionic rare earth mining basin in China: Microbial-mediated processes and self-adaptation mechanisms.

Journal of hazardous materials·2026
Same author

Sex-Specific Marker Development and Identification of an XY Sex Determination System in the Tire Track Eel (<i>Mastacembelus favus</i>) via Whole-Genome Resequencing.

Animals : an open access journal from MDPI·2026
Same author

STAN, a computational framework for inferring spatially informed transcription factor activity.

Nucleic acids research·2026
Same author

Growth Performance, Digestive Capacity, and Transcriptomic Analysis of the Hybrid Offspring of <i>Mastacembelus armatus</i> × <i>Mastacembelus favus</i>.

Animals : an open access journal from MDPI·2026

Related Experiment Video

Updated: Mar 31, 2026

Sample Extraction and Simultaneous Chromatographic Quantitation of Doxorubicin and Mitomycin C Following Drug Combination Delivery in Nanoparticles to Tumor-bearing Mice
08:57

Sample Extraction and Simultaneous Chromatographic Quantitation of Doxorubicin and Mitomycin C Following Drug Combination Delivery in Nanoparticles to Tumor-bearing Mice

Published on: October 5, 2017

11.6K

Multiphysics and Multiscale Analysis for Chemotherapeutic Drug.

Linan Zhang1, Sung Youb Kim2, Dongchoul Kim3

  • 1Department of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou 310018, China.

Biomed Research International
|October 23, 2015
PubMed
Summary

This study introduces a 3D dynamic model for chemotherapy design, integrating cancer cells, enzymes, extracellular matrix, and drugs. The model enhances chemotherapy efficacy prediction using atomic-level drug diffusion data for reliable treatment strategies.

More Related Videos

Preparation and Characterization of Individual and Multi-drug Loaded Physically Entrapped Polymeric Micelles
07:32

Preparation and Characterization of Individual and Multi-drug Loaded Physically Entrapped Polymeric Micelles

Published on: August 28, 2015

12.2K
Preparation and Characterization of Lipophilic Doxorubicin Pro-drug Micelles
09:56

Preparation and Characterization of Lipophilic Doxorubicin Pro-drug Micelles

Published on: August 2, 2016

15.7K

Related Experiment Videos

Last Updated: Mar 31, 2026

Sample Extraction and Simultaneous Chromatographic Quantitation of Doxorubicin and Mitomycin C Following Drug Combination Delivery in Nanoparticles to Tumor-bearing Mice
08:57

Sample Extraction and Simultaneous Chromatographic Quantitation of Doxorubicin and Mitomycin C Following Drug Combination Delivery in Nanoparticles to Tumor-bearing Mice

Published on: October 5, 2017

11.6K
Preparation and Characterization of Individual and Multi-drug Loaded Physically Entrapped Polymeric Micelles
07:32

Preparation and Characterization of Individual and Multi-drug Loaded Physically Entrapped Polymeric Micelles

Published on: August 28, 2015

12.2K
Preparation and Characterization of Lipophilic Doxorubicin Pro-drug Micelles
09:56

Preparation and Characterization of Lipophilic Doxorubicin Pro-drug Micelles

Published on: August 2, 2016

15.7K

Area of Science:

  • Computational Biology
  • Biophysics
  • Pharmacology

Background:

  • Chemotherapy efficacy is challenging to predict due to complex biological interactions.
  • Cancer cell invasion and extracellular matrix degradation are critical factors in treatment success.
  • Accurate modeling requires integrating multiple physical and biological scales.

Purpose of the Study:

  • To develop a novel three-dimensional dynamic model for chemotherapy design.
  • To enhance the reliability and fidelity of computational chemotherapy analysis.
  • To quantitatively investigate cancer cell invasion during chemotherapy.

Main Methods:

  • A multiphysics and multiscale approach was employed.
  • The model incorporates cancer cells, matrix degrading enzymes (MDEs), extracellular matrix (ECM), and chemotherapeutic drugs.
  • Atomic simulations provided data on drug diffusion characteristics.

Main Results:

  • The model systematically integrates multiple chemotherapy-related mechanisms.
  • Atomic information improved the fidelity of chemotherapy efficacy estimation.
  • Simulations quantitatively analyzed cancer cell invasion during treatment.

Conclusions:

  • The developed model shows substantial potential for reliable chemotherapy treatment design.
  • This approach offers a robust platform for in silico chemotherapy optimization.
  • Further research can refine the model for personalized cancer therapy.