Non-deterministic self-assembly with asymmetric interactions
classification
❄️ cond-mat.soft
cond-mat.stat-mech
keywords
asymmetricinteractionsself-assemblynon-deterministicableabundanceadjustingaggregation
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We investigate general properties of non-deterministic self-assembly with asymmetric interactions, using a computational model and DNA tile assembly experiments. By contrasting symmetric and asymmetric interactions we show that the latter can lead to self-limiting cluster growth. Furthermore, by adjusting the relative abundance of self-assembly particles in a two-particle mixture, we are able to tune the final sizes of these clusters. We show that this is a fundamental property of asymmetric interactions, which has potential applications in bioengineering, and provides new insights into the study of diseases caused by protein aggregation.
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