In silico searching for biologically active peptides with a C-terminal amide based on h uman genome DNA structure

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We have developed the computer program soft to predict the bioactive peptides based on the amino acid sequences of the precursor protein. The empirical biosynthetic rules of bioactive peptide from their precursor proteins were incorporated into the program, namely, precursor proteins contain a signal peptide and 50-300 amino acid residues, the lengths of the active peptides are 6-60 amino acid residues with 0～2 cystine (disulfide bond), and dibasic amino acid pairs at the cleavage sites. From the data bank of human genome structure (33,119 proteins), we predicted 352 candidates of bioactive peptides with a C-terminal amide. About 200 peptides of them were chemically synthesized and analyzed whether they are ligands to orphan G protein-coupled receptors or not.