Synthesis of a High Affinity Complementary Peptide-Polymer Nanoparticle (NP) Pair Using Phage Display

Area of Science:

• Biotechnology
• Materials Science
• Synthetic Chemistry

Background:

• Peptide-polymer interactions are crucial for biomacromolecule manipulation.
• Developing selective affinity reagents is essential for biological applications.
• Current methods often require precise polymer sequences, limiting broad applicability.

Purpose of the Study:

• To develop a general method for selecting high-affinity peptide-polymer nanoparticle (NP) pairs.
• To demonstrate the utility of statistical copolymers as selective affinity reagents.
• To investigate the physiochemical and structural factors contributing to binding affinity.

Main Methods:

• Utilized phage display to screen a large peptide library against a hydrogel copolymer nanoparticle.
• Engineered nanoparticles with a statistical distribution of charged and hydrophobic groups.
• Assessed binding affinity using nanomolar measurements and evaluated selectivity against proteins and peptide variants.

Main Results:

• Successfully selected a cyclic peptide with low nanomolar affinity for the designed nanoparticle.
• The selected peptide-NP pair demonstrated high selectivity, with low affinity for diverse proteins and peptide variants.
• Peptide structure (cyclic vs. linear) was found to significantly impact binding affinity.
• Abiotic, statistical synthetic copolymers can serve as effective peptide affinity reagents.

Conclusions:

• A general and effective method for identifying complementary peptide-polymer pairs was established.
• Statistical copolymers can be used to select specific peptide sequences with high affinity and selectivity.
• These findings highlight the potential of synthetic materials as selective affinity reagents for biomacromolecule separation.