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SPR-based assays enable the full functional analysis of bispecific molecules
- Source :
- Journal of Pharmaceutical and Biomedical Analysis. 132:141-147
- Publication Year :
- 2017
- Publisher :
- Elsevier BV, 2017.
-
Abstract
- The increasing complexity of novel biotherapeutics such as bispecific antibodies or fusion proteins raises new challenges for functional characterization. When compared to standard antibodies, two individual interactions and the inter-dependency of binding events need to be considered for bispecific antibodies. We have previously described an SPR-based assay setup, which enables us to assess the binding activity of a bivalent-bispecific molecule to both targets simultaneously and - in addition to one individual target - in a single setup. However, there might be some pitfalls when applying the bridging assay, e.g. change of antigen activity upon immobilization. Therefore, we have developed an alternative SPR-based assay principle, which allows the individual assessment of both targets in solution. Comparison of data between the assays showed that simultaneous binding can be calculated based on both individual readouts, and revealed a good correlation. Hence, both SPR-based assay principles allow a "full" functional analysis of a bispecific CrossMab in only one assay. The assay principles can be qualified and enable an efficient drug development.
- Subjects :
- Vascular Endothelial Growth Factor A
0301 basic medicine
Bispecific antibody
Clinical Biochemistry
Activity assessment
Pharmaceutical Science
Nanotechnology
Biosensing Techniques
Computational biology
Ligands
01 natural sciences
Analytical Chemistry
Angiopoietin-2
03 medical and health sciences
Antigen
Reference Values
Antibodies, Bispecific
Drug Discovery
Humans
Molecule
Surface plasmon resonance
Immunoglobulin Fragments
Spectroscopy
Functional analysis
Chemistry
010401 analytical chemistry
Reproducibility of Results
Surface Plasmon Resonance
Fusion protein
0104 chemical sciences
030104 developmental biology
Drug development
Drug Design
Linear Models
Biological Assay
Protein Binding
Subjects
Details
- ISSN :
- 07317085
- Volume :
- 132
- Database :
- OpenAIRE
- Journal :
- Journal of Pharmaceutical and Biomedical Analysis
- Accession number :
- edsair.doi.dedup.....2c8407b6dc9b421dae6c8f8eb9db2e86