Non-specificity fingerprints for clinical stage antibodies in solution
Herling, T. W.; Invernizzi, G. I.; Ausserwoeger, H.; Bjelke, J. R.; Egebjerg, T.; Lund, S.; Lorenzen, N.; Knowles, T. P. J.
Show abstract
Monoclonal antibodies (mAbs) have successfully been developed for the treatment of a wide range of diseases. The clinical success of mAbs, does not solely rely on optimal potency and safety, but also require good biophysical properties to ensure high developability potential. In particular, non-specific interactions are a key developability measure to monitor during discovery. Despite an increased focus on the detection of non-specific interactions, their physicochemical origins remain poorly understood. Here, we employ solution-based microfluidic technologies to characterise a set of clinical stage mAbs and their interactions with commonly used non-specificity ligands to generate non-specificity fingerprints, providing quantitative data on the underlying physical chemistry. Furthermore, the solution-based analysis enables us to evaluate the contribution of avidity in non-specific binding by mAbs. Based on our findings, we propose a quantitative solution-based non-specificity score, which can be exploited in the development of biological therapeutics and more widely in protein engineering.
Matching journals
The top 10 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- In-solution Characterization of Biomolecular Interaction Kinetics under Native Conditions 95%
- High throughput steady-state enzyme kinetics measured in a parallel droplet generation and absorbance detection platform 94%
- Localized cell-surface sampling of a secreted factor using cell-targeting beads 94%
Similar papers in this journal
Similar papers in this journal
- Nanoscale spatial dependence of avidity in an IgG1 antibody 95%
- An ultrasensitive microfluidic approach reveals correlations between the physico-chemical and biological activity of experimental peptide antibiotics 94%
- Giant magnetoresistive biosensors for real-time quantitative detection of protease activity 94%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.