Multiparametric Discovery Platform for Functional Antibody Variants
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Solution Overview
Problem
Current molecular and strain discovery processes suffer from limited throughput, high costs, and lack of integration with multiparametric data inputs, leading to slow and non-optimal discovery of molecules or strains, particularly in antibody screening, which often focuses on binding affinity rather than downstream functions, excluding promising antibodies and requiring labor-intensive steps.
Innovation Solution
A modular, high-throughput platform combining large data inputs, empirical data, and machine learning to identify functional antibody variants by analyzing antibody-expressing cells and reporter cells in a simultaneous platform, enabling rapid identification and optimization of antibody variants with desired functional characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional high throughput screening technologies are used to screen antibody variants, then binding affinity can be measured, but throughput is limited and the process is slow and costly
Solution Approach 1:
The system partitions the antibody screening process into distinct functional assays (binding affinity, downstream functional activity) that can be performed in parallel on different cell populations, allowing simultaneous measurement of multiple parameters across large variant libraries without sequential bottlenecks
Solution Approach 2:
The invention introduces reporter cells as intermediaries that convert functional antibody-antigen interactions into measurable signals (e.g., fluorescence, luminescence), enabling high-throughput detection of downstream functional effects without requiring labor-intensive manual assessment of each antibody variant
2Ease of operation
If screening focuses on binding affinity to select antibody candidates, then easy selection is achieved, but promising antibodies with weak binding but strong downstream function are excluded
Solution Approach 1:
The system evaluates antibody variants across multiple parameters including binding affinity, downstream functional activity, and cellular response metrics, transforming the selection criterion from a single parameter (binding affinity) to a multiparametric assessment that captures comprehensive functional performance
Solution Approach 2:
The platform performs multiple functions simultaneously: measuring binding affinity, assessing downstream functional effects, and identifying rare functional variants in a single integrated system, making the screening process universally applicable to diverse antibody discovery needs without requiring separate specialized assays
3Quantity of substance
If antibody-producing cell lines with limited proliferation capacity are used, then initial antibody production is achieved, but throughput is limited and rare antibodies are only recovered when they happen to occur in small populations
Solution Approach 1:
The invention transitions from screening limited numbers of antibody-producing cell lines to evaluating large populations of antibody variants expressed in suitable host cells, adding the dimension of population scale to the discovery process and enabling recovery of rare functional variants through statistical probability in large numbers
4Measurement precision
If traditional sequential screening processes are used to identify functional antibodies, then detailed functional characterization is achieved, but the process requires additional labor-intensive steps and cannot achieve very high throughput
Solution Approach 1:
The system replaces manual, mechanical screening steps with automated flow cytometry-based detection and high-throughput imaging systems that automatically measure functional responses of large numbers of antibody variants, eliminating labor-intensive operations while maintaining detailed functional characterization capability
Data Source
AI summary
Provided herein are systems and methods for screening desirable biological variants using a high-throughput integrated system. The integrated system may be configured to input a plurality of parameters from functional studies of biological variants under applied conditions, in conjunction with integrated libraries of biological variants, and filter the inputs to produce desirable biological variants based on an input performance requirement. The system may output optimized strains, molecules, or novel molecules expected to have a desirable functional characteristic. Accordingly, the methods and systems disclosed herein enable multi-parametric studies of biological diversity and conditional diversity in systems biology.