Quantum Mechanics Simulation for Bioisostere Identification

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Solution Overview

Problem

Current methods lack a reliable, quantitative tool to determine bioisosterism between non-classical bioisosteres, relying on qualitative tools like electrostatic potential maps which can introduce bias and fail to exhibit similarities for known bioisosteres, especially in drug design where minor structural changes significantly affect biological activity.

Innovation Solution

The use of quantum theory of atoms in molecules (QTAIM) and Average Electron Density (AED) tools to evaluate and confirm bioisosterism between non-classical bioisosteres, such as 1,2,3-triazoles and amides, by performing quantum mechanics simulations and calculating AED values, allowing for the identification and classification of bioisosteres regardless of isomerism or capping changes.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If qualitative tools like electrostatic potential maps are used to evaluate bioisosterism, then the evaluation process is simple and intuitive, but the measurement precision and reliability are insufficient due to subjective bias and failure to exhibit similarities for known bioisosteres

Engineering Contradiction:

Improvesimplicity of evaluation processVSAvoidaccuracy of bioisosterism determination

Core Design Contradiction:

Ease of operationVSMeasurement precision

Solution Approach 1:

The patent replaces qualitative visual assessment methods with quantitative computational chemistry tools. Specifically, it substitutes electrostatic potential map comparison with quantum mechanical calculations of electron density distributions and molecular electrostatic potentials, transforming subjective visual evaluation into objective numerical analysis that can reliably quantify bioisosterism between molecular groups

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent changes the evaluation parameters from qualitative visual features to quantitative physical-chemical parameters including electron density values, molecular electrostatic potential values, and other computable properties. This allows for precise numerical comparison and statistical analysis of bioisosteric relationships, eliminating subjective bias while maintaining systematic evaluation

Inventive Principle:

Principle #35Parameter changes

2Measurement precision

If quantum mechanics simulations and Average Electron Density calculations are performed to accurately determine bioisosterism, then the measurement precision and reliability are significantly improved, but the device complexity and computational requirements increase

Engineering Contradiction:

Improveaccuracy of bioisosterism determinationVSAvoidcomplexity of computational system

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent employs quantum mechanical methods that automatically calculate electron density distributions and molecular properties without requiring manual intervention for parameter adjustment. The computational protocol self-adjusts to provide quantitative metrics for bioisosterism evaluation, reducing the need for complex manual analysis while maintaining high precision

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent focuses calculations on specific key parameters (average electron density, molecular electrostatic potential at key points) rather than comprehensive full-system analysis. This selective parameter approach maintains measurement precision while reducing overall computational complexity and resource requirements

Inventive Principle:

Principle #35Parameter changes

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 highly accurate and specific quantitative method for evaluating bioisosterism, enabling the discovery of new bioisosteres and aiding in drug design by confirming similarities in biological properties, even when bioisosteres are attached to different groups or docked to receptors.

Implementation Method 1

performing quantum mechanics simulations and calculating AED values

Methodology Applied

Scientific EffectQuantum mechanics simulation:

Implementation Method 2

calculating AED values corresponding to the first and second bioisosteres

Methodology Applied

Scientific EffectAverage Electron Density:

Data Source

PatentUS20240177808A1Method of identifying bioisosteres of 1,2,3-triazoles and amides

Publication Date: 2024.05.30 UNITED ARAB EMIRATES UNIVERSITY

AI summary

A system and method for identifying bioisosteres of a molecule are provided. These methods are particularly useful for confirming that amides and 1,2,3-triazoles are bioisosteres of one another. The methods for evaluating bioisosteres of a molecule include selecting a first molecule of interest having an amide group as a first bioisostere, replacing the amide group with a 1,2,3-triazole group as a second bioisostere to obtain a second molecule, completing a quantum mechanics (QM) simulation for each molecule, calculating average electron density (AED) values corresponding to the first and second bioisosteres in the first and second molecules, respectively, and confirming the bioisosterism based on the calculated AED values of the biosiosteres. These methods can be further used to identify further bioisosteres thereof. present methods and systems can be used to aid in many applications including but not limited to the development of drug design.