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AptaGPT: Advancing aptamer design with a generative pre-trained language model

2024-05-28

Abstract excerpt

Aptamers, synthetic oligonucleotide ligands, have shown significant promise for therapeutic and diagnostic applications owing to their high specificity and affinity for target molecules. However, the conventional Systematic Evolution of Ligands by Exponential Enrichment (SELEX) for aptamer selection is time-consuming and often yields limited candidates. To address these limitations, we introduce AptaGPT, a novel c...

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Identifiers and source

Literature Corpus work
1b3719ac-0480-5130-90f5-5b9d55a34656
DOI
10.1101/2024.05.23.594910
Open publication

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AptaGPT: Advancing aptamer design with a generative pre-trained language modelDOI 10.1101/2024.05.23.594910
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