Integrative self-sorting: a versatile strategy for the construction of complex supramolecular architecture

Area of Science:

• Supramolecular Chemistry
• Systems Chemistry
• Biomimetic Materials Science

Background:

• Large synthetic supramolecular architectures lack the complexity and function of natural biomolecules.
• Natural systems utilize diverse building blocks and self-sorting for precise assembly and function.
• Current synthetic approaches often use repetitive building blocks, limiting functional sophistication.

Purpose of the Study:

• To review the strategy of "integrative self-sorting" for creating complex supramolecular architectures.
• To highlight the principles of modularity and programmability in integrative self-sorting.
• To discuss the potential for advanced functions and stimuli-responsiveness in these assemblies.

Main Methods:

• Incorporation of orthogonal binding motifs into subunits for controlled self-sorting.
• Leveraging modularity and programmability of binding motifs to generate complexity.
• Exploring kinetic pathway selection based on differential recognition event timescales.

Main Results:

• Integrative self-sorting allows for well-defined assemblies with controlled subunit positioning.
• This approach enables higher structural complexity compared to traditional self-assembly.
• Achieved diversity and complexity through orthogonal yet similar binding motifs.
• Demonstrated potential for stimuli-responsive materials and kinetic control.

Conclusions:

• Integrative self-sorting is a powerful strategy for mimicking biomolecular assembly.
• It provides a pathway to sophisticated synthetic supramolecular architectures and functions.
• This approach holds significant promise for future advancements in materials science and nanotechnology.