Biosensor Interaction Analysis Using Reference Binding Windows
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Solution Overview
Problem
Existing biosensor systems rely on specific interaction models to evaluate molecular binding interactions, which limits their ability to provide reliable results for interactions that do not fit these models, and often discard valuable information by only analyzing specific time points in binding curves.
Innovation Solution
A method and biosensor system that evaluates interactions between analytes and ligands by comparing sample binding curves to reference interaction windows, allowing for the classification of interactions independently of theoretical models and utilizing all registered data points, enabling the simultaneous screening of multiple analytes and providing more comprehensive information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If interaction models are used to evaluate binding curves, then reliable results are obtained for interactions that fit the model, but interactions that do not fit the model cannot be reliably evaluated
Solution Approach 1:
The patent creates reference binding curves from known analyte-ligand interactions and stores them in a database. These reference curves serve as templates that can be compared against sample binding curves to evaluate interactions without requiring the sample interaction to fit a specific theoretical model, thus enabling reliable evaluation of diverse interaction types
Solution Approach 2:
The patent transforms the evaluation approach from model-fitting to parameter-based comparison by extracting key parameters (such as maximum response, association rate, dissociation rate) from binding curves and comparing these parameters against reference ranges, allowing flexible evaluation of interactions with varying kinetic characteristics
2Device complexity
If report points at predetermined time points are used for analysis, then analysis is simplified, but most information in the binding curves is discarded
Solution Approach 1:
The patent extracts multiple key parameters from different phases of the binding curve (association phase parameters, dissociation phase parameters, equilibrium parameters) rather than using single report points. This extraction approach retains comprehensive information from the entire binding curve while organizing it into discrete analyzable parameters
Solution Approach 2:
The patent transforms the binding curve analysis from time-domain point sampling to parameter-space comparison by converting continuous binding curve data into discrete kinetic parameters that can be systematically compared against reference ranges, adding a new dimension of analysis
3Measurement precision
If model-based fitting is used to derive interaction parameters, then kinetic rate constants and affinity can be obtained, but the method requires significant computational power and is limited to specific interaction types
Solution Approach 1:
The patent applies partial action by selecting and comparing only the most relevant kinetic parameters against reference ranges, rather than performing exhaustive model fitting. This approach achieves sufficient precision for screening applications while significantly reducing computational requirements
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 allows for the evaluation of analyte-ligand interactions without relying on specific models, requires less computational power, and provides a more complete analysis of binding data, enabling the identification of stable and less stable binders by comparing sample curves to predefined reference windows.
Implementation Method 1
A representative such biosensor system is the BIACORE® instrumentation sold by GE Healthcare, which uses surface plasmon resonance (SPR) for detecting interactions between molecules in a sample and molecular structures immobilized on a sensing surface
Data Source
AI summary
The present invention relates to a method of evaluation of molecular binding interactions at a sensing surface, and more particularly to a method for evaluation of screening data obtained from an interaction between an analyte in a fluid sample and a ligand immobilized on a sensor surface of a biosensor that is independent of interaction models. Preferably the biosensor is a SPR biosensor.The invention also relates to a biosensor system arranged to perform the method and a computer program arranged to control the operation of the biosensor system.