Article

Evolutionary chemical learning in dimerization networks

2025-06-19

Abstract excerpt

We present a novel framework for chemical learning based on Com- petitive Dimerization Networks (CDNs)— systems in which multiple molecular species, e.g. proteins or DNA/RNA oligomers, reversibly bind to form dimers. We show that these networks can be trained in vitro through directed evolution, enabling the implementation of complex learning tasks such as multiclass classification without digital hardware or expl...

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Literature Corpus work: bf3ead7d-7731-5694-92e3-a6365e57be93
DOI: 10.1101/2025.06.16.660005

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