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A platform that predicts the right signal peptide for a specific protein Many medicines, vaccines, and biotechnology products rely on proteins reaching the right cellular compartment or secretion outside a cell. Whether a protein gets there in enough quantities depends on its signal peptide or leader sequence. Scientists can identify many existing signal peptides, but predicting which one will work best for a specific protein remains difficult. SignalGen uses generative AI to predict the signal peptide most likely to guide a protein to the right location. To make that prediction, it considers the protein, where it needs to go, and the organism it comes from. This approach gives researchers a new way to improve protein expression for medicines, vaccines, and biotechnology products. Overview: Proteins carry out many of the body's essential functions, but they can only do their job if they reach the right place inside or outside a cell. Many proteins rely on signal peptides to get there. Typically, a signal peptide is a short sequence segment at the beginning of a protein that acts like a built-in address label, helping direct the protein to the location where it is needed. Predicting the right signal peptide for a specific protein remains challenging. Existing software can identify known signal peptides or determine whether a protein already contains one, but it cannot predict which signal peptide is best suited to produce the desired protein expression and cellular location. R

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