The New Insight for Novel Antimicrobial Peptides Designing by Computational Design and Improvement of an Antimicrobial Peptide Derivate of LL37

Background: LL37 is one of the wellknown antimicrobial peptides which is effective on the extended expecetrome of microbial pathogens. The aim of this study was to design a modified digital analog of LL37 with enhanced antimicrobial activity and restricted toxicity of the host cell. Methods: Online databases and software were used for determining LL37 characteristics such as hydrophobicity, Booman index, and hemolysis probability. Variant structures based on the replacement of leucine and lysine with tryptophan and arginine were calculated as well. Finally, the best sequence was selected and analyzed for approving as an antimicrobial peptide. Results: The antibacterial characteristics of LL37 were improved by replacing the arginine and tryptophan and according to systemic calculations, it was defined that this peptide is an antimicrobial peptide by 97% confidential. Conclusions: In general, bioinformatics tools are considered as one of the most available and efficient tools for antimicrobial peptide designing. Therefore, future studies could use kLL39 as an antimicrobial peptide and investigate its antimicrobial effects in vitro.