Abstract
The aim of this study was to develop predictive quantitative structure-activity relationship (QSAR) modeling for antibody-peptide interactions. A small single chain antibody library was designed and manufactured around the murine anti-p24 (HIV-1) monoclonal antibody CB4-1 by use of statistical molecular design (SMD) principles and site directed mutagenesis, and its affinity for a p24 derived antigen was determined by fluorescence polarization. A satisfactory QSAR model (Q2 = 0.74, R2 = 0.88) was derived by correlating the affinity data to physicochemical property scales of the amino acids varied in the library. The model explains most of the antibody-antigen interactions of the studied set, and provides insights into the molecular mechanism involved in antigen binding.
| Original language | English |
|---|---|
| Pages (from-to) | 97-102 |
| Number of pages | 6 |
| Journal | Journal of Molecular Recognition |
| Volume | 20 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - Mar 2007 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Amino acid physicochemical properties
- Antibody library
- Interaction site mapping
- Peptide epitope
- QSAR
- Single chain antibody
- Site directed mutagenesis
- Statistical molecular design
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