AI Article Synopsis
- Robust potency assays are crucial for biotherapeutic analytics and Design of Experiment (DoE) approaches help analyze how different assay parameters affect these assays.
- Current methods evaluate specific assay features in isolation, making it hard to understand their combined effects.
- The proposed functional DoE approach models the relationships between assay features, optimizing assay design through a multivariate desirability, which enhances the understanding and reliability of biotherapeutic analytics.
Article Abstract
For biotherapeutic analytics, robust and reliable potency assays are required. Design of experiment (DoE) approaches are used to investigate the impact of multiple assay parameters. Currently, specific assay features (e.g., half effective concentration) are modelled independently from each other. A joint interpretation of several assay features is thus difficult. In our functional DoE approach, we use the functional relationship of the assay features to describe the sigmoidal dose-response curve. With the composed functional form, the direct impact of assay parameters on the dose-response curve shape was modelled. Moreover, a multivariate desirability was defined and used for assay optimization. We believe that functional modelling contributes to understanding the joint influence of assay parameters and helps to design robust biotherapeutic analytics.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.jpba.2023.115584 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!