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

You might also read

Related Articles

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

Sort by
Same author

Simulation Guided Design of a Potentially Hyperactive Ice Nucleating Protein.

Journal of chemical information and modeling·2026
Same author

Optimization of novel compounds using computer-aided drug design for treatment of cardiac arrhythmia.

British journal of pharmacology·2026
Same author

Transport mechanism of the SLC4 proteins-Lessons from recent structural and computational studies.

The Journal of biological chemistry·2026
Same author

A mechanistic understanding of how KCNE1 tunes KCNQ1 channel pharmacology.

Structure (London, England : 1993)·2026
Same author

CryoEM and computational modeling structural insights into the pH regulator NBCn1.

Nature communications·2025
Same author

The Martini 3 Lipidome: Expanded and Refined Parameters Improve Lipid Phase Behavior.

ACS central science·2025

Related Experiment Video

Updated: Mar 15, 2026

Experimental Quantification of Interactions Between Drug Delivery Systems and Cells In Vitro: A Guide for Preclinical Nanomedicine Evaluation
08:47

Experimental Quantification of Interactions Between Drug Delivery Systems and Cells In Vitro: A Guide for Preclinical Nanomedicine Evaluation

Published on: September 28, 2022

2.4K

Biophysical experiments and simulation in nanoparticle-based drug delivery systems.

Jenifer Thewalt1,2, D Peter Tieleman3

  • 1a Department of Physics , Simon Fraser University , Burnaby , Canada.

Journal of Drug Targeting
|September 10, 2016
PubMed
Summary

Personalized medicine is advancing with lipid nanoparticles for targeted drug delivery. Biophysical characterization has been key, and future computer simulations will optimize nanoparticle design for better therapeutics.

Keywords:
Lipid nanoparticlebiological membranescomputer modelingliposomenuclear magnetic resonance

More Related Videos

Manufacture and Drug Delivery Applications of Silk Nanoparticles
09:03

Manufacture and Drug Delivery Applications of Silk Nanoparticles

Published on: October 8, 2016

16.7K
Author Spotlight: Enhancing Lipid Nanoparticle Formation Through Turbulent Mixing in Confined Geometries
08:10

Author Spotlight: Enhancing Lipid Nanoparticle Formation Through Turbulent Mixing in Confined Geometries

Published on: August 23, 2024

6.5K

Related Experiment Videos

Last Updated: Mar 15, 2026

Experimental Quantification of Interactions Between Drug Delivery Systems and Cells In Vitro: A Guide for Preclinical Nanomedicine Evaluation
08:47

Experimental Quantification of Interactions Between Drug Delivery Systems and Cells In Vitro: A Guide for Preclinical Nanomedicine Evaluation

Published on: September 28, 2022

2.4K
Manufacture and Drug Delivery Applications of Silk Nanoparticles
09:03

Manufacture and Drug Delivery Applications of Silk Nanoparticles

Published on: October 8, 2016

16.7K
Author Spotlight: Enhancing Lipid Nanoparticle Formation Through Turbulent Mixing in Confined Geometries
08:10

Author Spotlight: Enhancing Lipid Nanoparticle Formation Through Turbulent Mixing in Confined Geometries

Published on: August 23, 2024

6.5K

Area of Science:

  • Biomedical Engineering
  • Materials Science
  • Pharmacology

Background:

  • The development of personalized therapeutics requires advanced drug delivery systems.
  • Lipid nanoparticles (LNPs) are a successful platform for delivering drugs to specific physiological sites.
  • Biophysical characterization has historically been crucial in advancing lipid-based drug carriers.

Purpose of the Study:

  • To provide a historical overview of lipid-based drug carrier development.
  • To highlight the impact of biophysical characterization on LNP advancements.
  • To propose the future role of computational simulations in optimizing LNP design.

Main Methods:

  • Historical review of lipid nanoparticle drug delivery systems.
  • Emphasis on the role of biophysical characterization techniques.
  • Discussion of emerging computational simulation methodologies.

Main Results:

  • Lipid nanoparticles have evolved significantly as drug delivery vehicles.
  • Biophysical characterization has been instrumental in understanding and refining LNP properties.
  • Advancements in computer simulations offer a pathway to predict and optimize LNP formulations.

Conclusions:

  • Lipid nanoparticles are central to the future of tailored therapeutics.
  • Continued innovation in biophysical characterization and computational modeling will accelerate LNP development.
  • Optimized LNPs promise enhanced drug efficacy and reduced side effects in personalized medicine.