Abstract： Objective To establish a bioinformaties prediction strategy for analyzing large numbers of peptide sequences obtained by phage display techniques. Methods CD-HIT program was used to remove redundancy of 1263 heptapeptide sequences selected by phage display. Shuffling algorithm and randomized permutation test(RPT) were employed to calculate the abundance and significance of tripeptides in nonredundant heptapeptides. After calculation and statistics analysis, significant tripeptides were acquired. Multiple sequence alignment of significant tripeptides was conducted with Clustal W program, from which and considering the property of amino acid, some mimetic peptide motifs were got. The motifs were aligned to SWISS-PROT by BLAST program and proteins containing these motifs were obtained. Signal peptide predicting program SignalP and transmembrane helices predicting program TMHMM were used to identify secreted proteins and membrane proteins. Results With the bioinformatics analysis procedure, inflammatory cytokines and membrane proteins including TNF-α and toll-like receptor 6 (TLR-6) with their mimotopes were acquired. Conclusion The strategy lays a new foundation to analyze large numbers of peptide sequences obtained by phage display techniques.