Biosensor Epitope Binning via Microspotting Segmentation

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Solution Overview

Problem

Current epitope binning technologies are time-consuming and labor-intensive, limiting their application to small numbers of samples and often occurring late in the development process, which hampers the efficient identification of lead antibodies for therapeutic monoclonal antibodies.

Innovation Solution

The use of biosensors coupled with advanced analysis tools enables high-throughput epitope binning assays, allowing for the simultaneous analysis of multiple antibody interactions and automated binning, reducing manual effort and time, and facilitating the identification of diverse groups of lead antibodies.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional pairwise combinatorial epitope binning is used, then antibodies can be grouped by epitope binding regions, but the process becomes very time-consuming and labor-intensive

Engineering Contradiction:
Improveepitope binning accuracyVSAvoidbinning process time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent segments the large library of antibodies into smaller subsets that can be tested in parallel using microtiter plates. Each plate contains multiple antigens and antibody combinations, allowing simultaneous analysis of numerous interactions rather than sequential pairwise testing, thus reducing overall process time while maintaining binning accuracy

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent uses microspotting technology to create multiple copies of antigens and antibodies on plate surfaces. These replicated spots enable parallel testing of numerous antibody-antigen interactions simultaneously, replacing the need for repeated manual pairwise assays and significantly accelerating the binning process

Inventive Principle:
Principle #26Copying

2Adaptability or versatility

If large libraries of antibodies are characterized, then diverse lead antibodies can be identified, but cost and time requirements increase significantly

Engineering Contradiction:
Improveantibody library diversityVSAvoidcharacterization throughput
Core Design Contradiction:
Adaptability or versatilityVSProductivity

Solution Approach 1:

The patent divides large antibody libraries into manageable subsets that can be processed in parallel across multiple microtiter plates. This segmentation allows researchers to characterize diverse antibody collections systematically, maintaining the ability to identify diverse leads while improving overall throughput through concurrent processing

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent employs a universal microspotting platform and standardized assay protocol that can handle multiple antigens, antibody types, and experimental conditions using the same basic system. This multi-functional approach enables efficient characterization of diverse antibody libraries without requiring separate specialized procedures for each case

Inventive Principle:
Principle #6Universality (Multi-functionality)

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 significantly reduces the time and cost associated with epitope binning, enabling the rapid characterization of large panels of monoclonal antibodies and guiding the development of therapeutic antibodies by identifying relevant epitopes early in the drug discovery process.

Implementation Method 1

continuous flow microspotting biosensor

Methodology Applied
Scientific EffectSurface plasmon resonance:

Data Source

PatentUS10825548B2Systems and methods of sensing and analyzing antibody blocking interactions
Publication Date: 2020.11.03 RINAT NEUROSCI CORP
  • US10825548B2 patent drawing
  • US10825548B2 patent drawing
  • US10825548B2 patent drawing

AI summary

A system and method for sensing and analyzing antibody blocking interactions is described. A biosensor can be used to identify interactions between antibodies to generate interaction profiles for the antibodies. A processor can be used to assign the antibodies to one or more bins, with the antibodies sharing a common interaction profile assigned to a common bin, and each antibody only being assigned to one bin. The antibodies can be represented by displaying nodes grouped together for antibodies in a common bin. Connections between the nodes can be displayed, representing interactions between the antibodies.