Multilayered Ordered Protein Arrays Self-Assembled from a Mixed Population of Virus-like Particles

Area of Science:

• Biomaterials Science
• Nanotechnology
• Structural Biology

Background:

• Biological systems exhibit complex hierarchical structures crucial for function.
• Synthesizing similar ordered materials from multiple nanoscale components remains a significant challenge.
• Controlling spatial arrangement of diverse building blocks is key for advanced material design.

Purpose of the Study:

• To develop a bottom-up strategy for creating multilayered, ordered protein arrays.
• To investigate the self-assembly of mixed virus-like particles (VLPs) into complex structures.
• To control the spatial arrangement of multiple nanoscale building blocks in a one-pot fabrication.

Main Methods:

• Systematic tuning of VLP surface charge via mutagenesis.
• Mixing up to four types of engineered VLPs with oppositely charged dendrimers.
• Gradual lowering of ionic strength to induce selective self-assembly.
• Coarse-grained molecular dynamics simulations to model the assembly process.

Main Results:

• Selective self-assembly of mixed VLPs into ordered, multilayered, core-shell structures.
• Formation of 3D arrays with up to four distinct, single-component VLP layers.
• Demonstration of precise spatial control over nanoscale building blocks.
• Successful prediction and validation of the assembly mechanism via computational modeling.

Conclusions:

• A simple and versatile bottom-up strategy for synthesizing multilayered, ordered protein materials.
• Enables precise spatial control over multiple types of nanoscale building blocks.
• Offers a novel approach for fabricating complex nanomaterials with tunable architectures.