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

Structure-Activity Relationships and Drug Design01:28

Structure-Activity Relationships and Drug Design

1.1K
Drug design is a dynamic field that involves discovering and developing new medications based on specific biological targets. This process heavily relies on structure-activity relationships (SAR) and quantitative structure-activity relationships (QSAR) to guide the design and optimization of efficient drugs.
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence...
1.1K
Fundamental Mathematical Principles in Pharmacokinetics: Calculus and Graphs01:21

Fundamental Mathematical Principles in Pharmacokinetics: Calculus and Graphs

2.0K
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...
2.0K
Biopharmaceutics and Pharmacokinetics: Overview01:28

Biopharmaceutics and Pharmacokinetics: Overview

2.5K
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...
2.5K
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

174
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
174
Response Surface Methodology01:16

Response Surface Methodology

267
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
267

You might also read

Related Articles

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

Sort by
Same author

Amino-functionalized bimetallic MOF nanozyme <i>via</i> solvent-assisted ligand exchange for interference-free phenolic detection.

Analytical methods : advancing methods and applications·2026
Same author

The Versatility of NADES Across Applications.

Molecules (Basel, Switzerland)·2025
Same author

Cosmetic Potential of a Structural Protein Copolymer Based on Silk, Elastin, and Keratin.

ACS biomaterials science & engineering·2025
Same author

Toward a Platform for the Treatment of Burns: An Assessment of Nanoemulsions vs. Nanostructured Lipid Carriers Loaded with Curcumin.

Biomedicines·2023
Same author

Laccase-Catalyzed Synthesis of Added-Value Polymers from Cork and Grape Extracts.

Journal of agricultural and food chemistry·2023
Same author

Non-Canonical Amino Acids as Building Blocks for Peptidomimetics: Structure, Function, and Applications.

Biomolecules·2023

Related Experiment Video

Updated: Sep 12, 2025

Visualizing and Quantifying Pharmaceutical Compounds within Skin using Coherent Raman Scattering Imaging
11:07

Visualizing and Quantifying Pharmaceutical Compounds within Skin using Coherent Raman Scattering Imaging

Published on: November 24, 2021

2.9K

Artificial Intelligence, Molecular Dynamics, and Beyond: Computational Insights In Cosmetics Research and Formulation

Tiago Ferreira1,2, Artur Cavaco-Paulo1,2,3, Tarsila G Castro2

  • 1CEB-Center of Biological Engineering, University of Minho, Campus de Gualtar, 4710-057, Braga, Portugal.

Chempluschem
|August 5, 2025
PubMed
Summary

Computational methods like AI and simulations are revolutionizing cosmetic formulation by enabling efficient ingredient discovery and optimization. This accelerates innovation and simplifies testing for the cosmetics industry.

Keywords:
bioinspired moleculescomputational chemistryhair‐bindingmolecular dockingmolecular modellingpeptidessilicone alternatives

More Related Videos

Author Spotlight: Enhancing Skin Model Diversity with Cost-Effective 3D Cellular Models
08:32

Author Spotlight: Enhancing Skin Model Diversity with Cost-Effective 3D Cellular Models

Published on: October 20, 2023

3.0K
Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
08:49

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis

Published on: June 20, 2025

528

Related Experiment Videos

Last Updated: Sep 12, 2025

Visualizing and Quantifying Pharmaceutical Compounds within Skin using Coherent Raman Scattering Imaging
11:07

Visualizing and Quantifying Pharmaceutical Compounds within Skin using Coherent Raman Scattering Imaging

Published on: November 24, 2021

2.9K
Author Spotlight: Enhancing Skin Model Diversity with Cost-Effective 3D Cellular Models
08:32

Author Spotlight: Enhancing Skin Model Diversity with Cost-Effective 3D Cellular Models

Published on: October 20, 2023

3.0K
Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
08:49

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis

Published on: June 20, 2025

528

Area of Science:

  • Cosmetic Science
  • Computational Chemistry
  • Biotechnology

Background:

  • Cosmetics research traditionally relies on experimental methods.
  • Computational tools are underutilized in cosmetic formulation due to proprietary interests.
  • Existing research lacks a molecular-level understanding of in silico applications in cosmetics.

Purpose of the Study:

  • To explore the application of in silico methods in cosmetic research at a molecular level.
  • To understand how recent advancements are improving the state-of-the-art in cosmetic science.
  • To highlight the economic importance of computational approaches in the cosmetics industry.

Main Methods:

  • Artificial Intelligence (AI) for predictive modeling.
  • Molecular docking simulations for ingredient interaction analysis.
  • Molecular dynamics simulations for understanding ingredient behavior.

Main Results:

  • AI, molecular docking, and molecular dynamics accelerate the discovery and optimization of cosmetic ingredients.
  • Development of predictive computational protocols tailored for cosmetic applications.
  • Streamlined experimental processes and simplified testing procedures.

Conclusions:

  • In silico methods offer a powerful approach to innovate and enhance cosmetic product development.
  • Computational strategies optimize experimental workflows, reducing costs and time.
  • The integration of these technologies is crucial for the future of the cosmetics industry.