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De novo design of protein-binding aptamers through deep reinforcement learning assembly of nucleic acid fragments

2025-06-03

Abstract excerpt

Nucleic acid aptamers targeting proteins are becoming increasingly important in biopharmaceuticals and molecular diagnostics. Traditionally, aptamers are discovered through labor-intensive screening of nucleic acid libraries using the SELEX method. However, de novo design approaches without experimental screening remain a significant challenge. Here, we employed deep reinforcement learning to develop an artificial...

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Literature Corpus work
b3c961c4-a427-568e-b006-69524d343ea0
DOI
10.1101/2025.06.01.657174
Open publication

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De novo design of protein-binding aptamers through deep reinforcement learning assembly of nucleic acid fragmentsDOI 10.1101/2025.06.01.657174
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