Molecule Classification by Structure Patterns for Targeted Screening
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for selecting molecules with desired physical, chemical, or physiological properties are inefficient and require extensive experimental testing, lacking insight into structure-property relationships, leading to high personnel and resource costs.
Innovation Solution
A method using a mathematical model to classify molecules based on structure patterns and probabilities, allowing for the selection and experimental confirmation of molecules with desired properties, reducing the need for exhaustive testing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If exhaustive experimental testing is performed to select molecules with desired properties, then reliability of property identification is improved, but productivity and resource efficiency deteriorate
Solution Approach 1:
The patent applies preliminary action by performing computational classification of molecules based on structure patterns before experimental testing. The mathematical model predicts which molecules are likely to exhibit desired properties, allowing researchers to pre-select candidate molecules for experimental verification. This preliminary computational step reduces the number of molecules requiring exhaustive experimental testing while maintaining reliable property identification.
Solution Approach 2:
The patent replaces the mechanical/experimental testing system with a computational/mathematical model system for initial molecule classification. Instead of physically testing all molecules experimentally, the invention uses computational algorithms to analyze molecular structures and predict properties, substituting computational mechanics for exhaustive physical testing while preserving the ability to reliably identify molecules with desired properties.
2Measurement precision
If exhaustive experimental testing is performed to select molecules with desired properties, then measurement precision of properties is improved, but loss of time and resources increases
Solution Approach 1:
The computational classification serves as a preliminary action that identifies promising candidate molecules before experimental measurement. By pre-screening molecules computationally based on structure patterns, the invention reduces the time required for molecule screening while maintaining measurement precision for the selected candidates through subsequent experimental verification.
Solution Approach 2:
The invention extracts only the most promising candidate molecules from the full set based on computational analysis of structure patterns. Instead of measuring all molecules experimentally, the system extracts a subset of high-probability candidates for detailed experimental measurement, thereby reducing time loss while maintaining measurement precision for the extracted candidates.
3Reliability
If comprehensive experimental testing is conducted to identify structure-property relationships, then reliability of relationship identification is improved, but productivity of the research process deteriorates
Solution Approach 1:
The computational classification based on structure patterns serves as a preliminary action that identifies which molecular structures are associated with desired properties. This preliminary computational analysis of structure-pattern relationships allows researchers to focus experimental resources on verifying specific structure-property relationships, improving research productivity while maintaining reliable relationship identification.
Data Source
AI summary
A method for selecting molecules with a sought-after physical, chemical and/or physiological property from a group of molecules is provided, wherein a classification according to a chemical, physical and/or physiological property of a molecule is undertaken with the aid of a mathematical model. As a result, molecules with the sought-after property can be selected from the group of molecules. Subsequently, an experimental confirmation as to whether the molecules actually have the sought-after the physical, chemical and/or physiological property is undertaken for this selection of molecules. Also the method can be used to select at least one molecule with a sought-after chemical, physical and/or physiological property from a group of molecules and for identifying the influence of structure patterns in molecules on at least one chemical, physical and/or physiological property of molecules.