Kinetically controlled simplification of a multiresponsive [10 × 10] dynamic imine library

Area of Science:

• Synthetic chemistry
• Chemical kinetics
• Systems biology

Background:

• Kinetically controlled self-sorting in complex mixtures offers insights into biological networks operating far from equilibrium.
• Previous kinetic self-sorting protocols were limited to small libraries and single stimuli.
• Dynamic combinatorial libraries (DCLs) are powerful tools for exploring chemical space.

Purpose of the Study:

• To develop a method for iterative simplification of large DCLs using sequential external stimuli.
• To model the behavior of biological networks with multiple, non-interfering pathways.
• To isolate and amplify specific components from a complex chemical mixture.

Main Methods:

• Construction of a large imine DCL from 10 aldehydes and 10 anilines.
• Sequential application of external stimuli: oxidation, adsorption, and temperature increase.
• Analysis of component amplification and distribution within the DCL.

Main Results:

• Iterative simplification of the large imine DCL was achieved through sequential stimuli.
• Six specific components were mechanically isolated and amplified.
• Amplification levels reached at least three-fold relative to equilibrium distributions.

Conclusions:

• Sequential stimuli can effectively simplify complex DCLs, enabling selective component amplification.
• This approach provides a robust model for understanding self-sorting in biological systems.
• The findings open avenues for designing complex molecular systems with controlled behaviors.