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The article explores a new approach to creating dual agonists for the GCGR and GLP-1R receptors using Machine Learning. By using peptide sequence data and deep neural networks, scientists were able to develop new peptide variants with enhanced biological activity. Three groups of new peptides were created, which showed an improvement in activity up to seven times compared to existing agonists. This discovery promises significant benefits in the treatment of type 2 diabetes, obesity, and related complications

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The full text you can find here: doi:10.1038/s41557-024-01532-x