Trained Interactions Can Discriminate Concentration Patterns Across Nearly 1,000 Molecules
Trained binding interactions can assemble multiple distinct structures from a soup of molecules through distinct nucleation pathways. Concentration patterns, in which some moleules are more abundant than others, preferentially select one nucleation pathway over others. Cnsequently, the molecula soup can be trained to classify high-dimensional concentration patterns by assembling distinct structures in response to classs of concentration patterns. Experimental realization of such a "molecular neural network" using 917 molecules (DNA oligomers) that assemble distinct structures in response to distinct concentration patterns.