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From the perspective of transmembrane peptide design, there is still room for significant improvement in the future, including at least the following aspects: (1) integrating the ProteinMPNN deep learning model to expand the sequence space and achieve the synergistic optimisation of peptide length and sequence diversity

We consistently pushed back against the simplistic narrative that GLP-1 compounding was somehow going to become a permanently sustainable long-term business model