Molecular Simulation of Skin Membrane for Permeability Prediction
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Solution Overview
Problem
Current methods for predicting dermal uptake of chemicals and drug permeability through the skin are costly and inefficient, relying on expensive in-vitro and in-vivo trials, and lack a realistic in-silico model, especially due to the complexity of the skin's Stratum Corneum barrier.
Innovation Solution
A system and method using constrained molecular dynamics simulations to model the skin's lipid matrix, predicting diffusivity, partition coefficients, and permeability of active molecules, which includes a user interface, processor, and simulation modules to generate molecular models and perform simulations, thereby reducing the need for extensive experimental testing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If in-vitro and in-vivo trials are conducted to predict skin permeability, then measurement precision is improved, but loss of time and loss of substance increase
Solution Approach 1:
The patent creates a virtual copy of the skin membrane structure through molecular simulation, allowing permeability testing in silico rather than requiring physical in-vitro or in-vivo experiments. This digital twin approach maintains measurement precision while eliminating time-consuming animal studies and expensive human trials.
Solution Approach 2:
The patent replaces mechanical/biological testing systems (animal skin, human volunteers) with computational molecular dynamics simulations. The mechanical system of physical experimentation is substituted with in-silico modeling that calculates permeability based on molecular interactions with the simulated skin membrane structure.
2Measurement precision
If in-vitro and in-vivo trials are conducted to predict skin permeability, then measurement precision is improved, but cost increases
Solution Approach 1:
The patent creates a virtual copy of the skin membrane structure through molecular simulation, allowing permeability testing in silico rather than requiring physical in-vitro or in-vivo experiments. This digital twin approach maintains measurement precision while eliminating time-consuming animal studies and expensive human trials.
Solution Approach 2:
The patent uses computationally inexpensive molecular models and force fields that can be rapidly configured and discarded for each new permeability assessment. These virtual testing systems replace expensive, irreplaceable biological samples (animal skin, human tissue) with reusable computational models that have negligible marginal cost.
3Ease of operation
If 2-D in vitro cell culture studies are used to predict skin permeability, then ease of operation is improved, but measurement precision deteriorates
Solution Approach 1:
The patent transitions from 2-D cell culture models to a 3-D molecular-level simulation of the skin membrane's lipid matrix structure. By operating at the molecular dimension rather than the cellular dimension, the system captures the actual permeation pathways through lipid bilayers that 2-D cultures cannot replicate, thereby improving precision while maintaining computational ease.
4Productivity
If in-silico tests are implemented to reduce testing time and cost, then productivity is improved, but measurement precision deteriorates due to lack of realistic skin model
Solution Approach 1:
The patent applies local quality by focusing the simulation on the specific lipid matrix structure of the stratum corneum with atomistic detail, rather than attempting to model the entire skin organ. This localized molecular-level approach to the barrier layer provides both computational efficiency and high precision for permeability prediction by concentrating computational resources on the critical permeation pathway.
Solution Approach 2:
The patent uses parameter changes by varying molecular structures, lipid compositions, and environmental conditions in the simulation to match physiological reality. By adjusting force field parameters, temperature, and membrane composition to reflect actual skin conditions, the in-silico model achieves measurement precision comparable to in-vivo studies while maintaining productivity benefits.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach provides a cost-effective and accurate prediction of skin permeability, aligning with experimental data, and enables the design and development of pharmaceuticals and cosmetics by simulating skin lipids at a nano-scale level, reducing the time and expense of traditional testing methods.
Implementation Method 1
constrained molecular dynamics simulations to model the skin's lipid matrix, predicting diffusivity, partition coefficients, and permeability of active molecules
Implementation Method 2
predicting diffusivity, partition coefficients, and permeability of active molecules
Data Source
AI summary
A system and method for testing of active molecules using simulation of skin membrane have been provided. The present disclosure provides a molecular level model of the skins upper protective layer Stratum-Corneum. The systems consist of a molecular model of the skins upper layer stratum corneum and permeate molecules. A protocol have been developed to perform molecular dynamics simulations which can be automated. The system predicts the permeability, partition coefficient and diffusivity of different active molecules like drugs and cosmetics through mentioned skin model using multiple molecule in single window constrained molecular dynamics simulations.