Peptide library constructing method

Abstract

An improved peptide library preparation method is provided for constructing complete virtual peptide libraries such as a complete virtual tripeptide library, tetrapeptide library, pentapeptide library, hexapeptide library, heptapeptide library, or a complete octapeptide library, etc. The method includes constructing an expression vector for the expression of cyclic peptides. Each cyclic peptide displays an array of peptides of different sizes and sequences, and the number of cyclic peptides needed for constructing a complete virtual peptide library can be dramatically reduced compared with conventional chemical peptide synthesis. Furthermore, the cyclic peptide libraries can be readily reproduced by the expression and purification of the cyclic peptides using the constructed gene libraries.

Description

technical field [0001] The present invention relates to a method for constructing a partial or complete peptide library with a cyclic peptide, wherein the cyclic peptide can display a partial or complete library such as a tetrapeptide library, a pentapeptide library, a hexapeptide library, a heptapeptide library, an octapeptide library, etc. Short peptide arrays required for peptide libraries. The method includes: constructing an expression vector for expressing the marked cyclic peptide. Each labeled cyclic peptide displays a different-sized peptide array, and can significantly reduce the number of cyclic peptides required to construct a partial or complete peptide library compared to conventional peptide chemical synthesis. In addition, libraries can be easily replicated. Cyclic peptides can also be synthesized chemically or enzymatically to construct partial or complete peptide libraries. For example, the improved peptide library preparation method is especially useful f...

AI Technical Summary

Problems solved by technology

However, linear peptides that can display multiple short peptides display fewer numbers of longer peptides per tag using protein display

For example, a labeled linear peptide containing 50 amino acid residues could display 47 tetrapeptides, 46 pentapeptides, or 45 hexapeptides, but only two peptides containing 49 amino acid residues and only one containing 50 amino acid residues in peptides, thus limiting library capacity

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