Multi-Objective Primer Pair Design Using Pareto Chart Optimization
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Solution Overview
Problem
Conventional primer pair design methods fail to set optimal values for multiple objectives, leading to poor design efficiency and high costs in PCR experiments due to large differences between calculated and optimal numerical values for melting temperature, GC proportion, dimer formation, and hairpin formation.
Innovation Solution
A multi-objective primer pair design method that uses a computer system to input DNA template fragments and optimal values for multiple objectives, generating primer pairs and calculating their numerical values using a Pareto Chart tool to achieve optimal solutions with minimal differences between calculated and optimal values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If conventional primer pair design methods use added-up single-objective evaluation, then the design process is simplified, but the design precision and reliability deteriorate due to large differences between calculated and optimal numerical values
Solution Approach 1:
The patent divides the single-objective evaluation into multiple independent objectives (melting temperature, GC proportion, dimer formation, hairpin formation), each evaluated separately with its own optimal value. This segmentation allows precise control of each parameter while maintaining overall design simplicity through automated multi-objective optimization.
2Loss of time
If conventional methods use single-objective evaluation, then the evaluation process is faster, but the reliability of primer pairs deteriorates leading to high time and consumable costs
Solution Approach 1:
The patent performs preliminary optimization by automatically evaluating multiple primer pairs against multiple objectives before experimental execution. The system pre-calculates numerical values for melting temperature, GC proportion, dimer formation, and hairpin formation for each candidate primer pair, identifying optimal pairs in advance to reduce experimental trial-and-error time.
3Reliability
If multiple objectives are considered simultaneously with separate optimal values, then the primer pair reliability improves, but the design complexity increases
Solution Approach 1:
The patent implements self-service optimization where the computer system automatically generates multiple primer pairs, calculates their numerical values across all objectives, and identifies optimal pairs without requiring manual intervention. The system self-evaluates and self-selects the best primer pairs based on predefined optimal values, reducing the burden on researchers while maintaining high reliability.
Data Source
AI summary
A method for designing a multi-objective primer pair is disclosed. The method includes inputting a DNA template fragment, a length of a forward primer, a length of a reverse primer, at least two objectives and optimal values for each of the at least two objectives to a computer system; generating, by the computer system, a plurality of primer pairs according to the DNA template fragment, the length of the forward primer and the length of the reverse primer; and calculating, by the computer system, numerical values of the at least two objectives of each of the plurality of primer pairs and inputting the numerical values of the at least two objectives of each of the plurality of primer pairs to a Pareto Chart tool to obtain at least one primer pair, and taking the primer pair as an optimal solution of the DNA template fragment.