The New Insight for Novel Antimicrobial Peptides Designing by Computational Design and Improvement of an Antimicrobial Peptide Derivate of LL-37

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KEIKHA MASOUD; Rahdar Hossein Ali; KARAMI ZARANDI MORTEZA; AZADI DAVOOD; GHAZVINI KIARASH

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Paper Information

Journal: Avicenna Journal of Clinical Microbiology and Infection Year:2019 | Volume:6 | Issue:1 Page(s): 15-20

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Title

The New Insight for Novel Antimicrobial Peptides Designing by Computational Design and Improvement of an Antimicrobial Peptide Derivate of LL-37

Author(s)

Keywords

LL-37

Antimicrobial peptides

Computational studies

Infectious disease

Abstract

Background: LL-37 is one of the well-known 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 LL-37 with enhanced antimicrobial activity and restricted toxicity of the host cell. Methods: Online databases and software were used for determining LL-37 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 LL-37 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 kLL-39 as an antimicrobial peptide and investigate its antimicrobial effects in vitro.

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APA: Copy

KEIKHA, MASOUD, Rahdar, Hossein Ali, KARAMI ZARANDI, MORTEZA, AZADI, DAVOOD, & GHAZVINI, KIARASH. (2019). The New Insight for Novel Antimicrobial Peptides Designing by Computational Design and Improvement of an Antimicrobial Peptide Derivate of LL-37. AVICENNA JOURNAL OF CLINICAL MICROBIOLOGY AND INFECTION, 6(1), 15-20. SID. https://sid.ir/paper/346897/en

Vancouver: Copy

KEIKHA MASOUD, Rahdar Hossein Ali, KARAMI ZARANDI MORTEZA, AZADI DAVOOD, GHAZVINI KIARASH. The New Insight for Novel Antimicrobial Peptides Designing by Computational Design and Improvement of an Antimicrobial Peptide Derivate of LL-37. AVICENNA JOURNAL OF CLINICAL MICROBIOLOGY AND INFECTION[Internet]. 2019;6(1):15-20. Available from: https://sid.ir/paper/346897/en

IEEE: Copy

MASOUD KEIKHA, Hossein Ali Rahdar, MORTEZA KARAMI ZARANDI, DAVOOD AZADI, and KIARASH GHAZVINI, “The New Insight for Novel Antimicrobial Peptides Designing by Computational Design and Improvement of an Antimicrobial Peptide Derivate of LL-37,” AVICENNA JOURNAL OF CLINICAL MICROBIOLOGY AND INFECTION, vol. 6, no. 1, pp. 15–20, 2019, [Online]. Available: https://sid.ir/paper/346897/en

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