Mixture Taste Characterization via Molecular Docking
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Solution Overview
Problem
Current methods struggle to accurately characterize the taste characteristics of mixtures of components, such as cigarette smoke, due to the complexity of interactions and pleiotropic effects of monomer compounds, making it difficult to predict the overall taste using individual compounds alone.
Innovation Solution
A computer-implemented method using molecular docking to dock monomer components with T1R2-T1R3 proteins, extracting docking result parameters, and applying a comprehensive weighting method to calculate the overall taste probabilities of bitterness, sweetness, and sourness, enabling characterization of mixture taste characteristics without subjective intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If individual compounds are used to predict taste characteristics, then the prediction process is simple, but the accuracy is insufficient due to pleiotropic effects and interactions in mixtures
Solution Approach 1:
The method segments the complex mixture into individual monomer components, performing molecular docking for each component separately with taste receptor proteins. This allows systematic analysis of each compound's binding characteristics while accounting for their individual contributions to overall taste, resolving the contradiction between simplicity and accuracy by breaking down the complex prediction task into manageable segments.
Solution Approach 2:
The patent combines multiple computational approaches (molecular docking, parameter extraction, comprehensive weighting) to create a composite prediction model. By integrating results from multiple docking simulations and applying comprehensive weighting to account for mixture composition, the method achieves high accuracy in characterizing mixture taste characteristics while maintaining a systematic framework.
2Measurement precision
If comprehensive weighting method is applied to calculate overall taste probability, then the taste characteristics of mixture are accurately characterized, but the computational complexity increases
Solution Approach 1:
The method performs preliminary molecular docking and parameter extraction for each monomer component before applying the comprehensive weighting calculation. By pre-calculating binding energies and key docking parameters for individual components, the system prepares data in advance that streamlines the subsequent weighted aggregation process, reducing overall computational time while maintaining accuracy.
Solution Approach 2:
The patent transforms complex taste prediction into a parameter-based computational framework, extracting key docking parameters (binding energy, interaction energy, hydrogen bond count) and applying comprehensive weighting to these parameters. This parameter transformation converts a complex qualitative assessment into a systematic quantitative calculation, improving accuracy while making the process more efficient.
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 method allows for fast and accurate prediction of taste characteristics of mixtures, like cigarette smoke, without the need for lengthy experiments or sensory evaluation, providing a direct and objective assessment of taste mechanisms.
Implementation Method 1
use a molecular docking method to dock each monomer in the mixture of components with T1R2-T1R3, and extract docking result parameters
Data Source
AI summary
The present invention discloses a method for characterizing taste characteristics of a mixed component, including the following steps: use a molecular docking method to molecularly dock each monomer in the mixed component with T1R2-T1R3, and extract docking result parameters; according to the taste discrimination model containing parameters of docking results, calculate the taste probability and value of each monomer component of bitterness, sweetness and sour; then use the comprehensive weighting method to calculate overall taste probability of bitterness, sweetness and sour of the mixed component, so as to obtain taste characteristics of the mixed component. The characterization method of the present invention does not need to acquire taste micro-molecule substances. It has the advantages of fast calculation , the results obtained are intuitive and with accurate prediction.