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In silico optimization of a guava antimicrobial peptide enables combinatorial exploration for peptide design.

ABSTRACT: Plants are extensively used in traditional medicine, and several plant antimicrobial peptides have been described as potential alternatives to conventional antibiotics. However, after more than four decades of research no plant antimicrobial peptide is currently used for treating bacterial infections, due to their length, post-translational modifications or high dose requirement for a therapeutic effect . Here we report the design of antimicrobial peptides derived from a guava glycine-rich peptide using a genetic algorithm. This approach yields guavanin peptides, arginine-rich ?-helical peptides that possess an unusual hydrophobic counterpart mainly composed of tyrosine residues. Guavanin 2 is characterized as a prototype peptide in terms of structure and activity. Nuclear magnetic resonance analysis indicates that the peptide adopts an ?-helical structure in hydrophobic environments. Guavanin 2 is bactericidal at low concentrations, causing membrane disruption and triggering hyperpolarization. This computational approach for the exploration of natural products could be used to design effective peptide antibiotics.

SUBMITTER: Porto WF

PROVIDER: S-EPMC5902452 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature

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In silico optimization of a guava antimicrobial peptide enables combinatorial exploration for peptide design.

Porto William F WF Irazazabal Luz L Alves Eliane S F ESF Ribeiro Suzana M SM Matos Carolina O CO Pires Állan S ÁS Fensterseifer Isabel C M ICM Miranda Vivian J VJ Haney Evan F EF Humblot Vincent V Torres Marcelo D T MDT Hancock Robert E W REW Liao Luciano M LM Ladram Ali A Lu Timothy K TK de la Fuente-Nunez Cesar C Franco Octavio L OL

Nature communications 20180416 1

Plants are extensively used in traditional medicine, and several plant antimicrobial peptides have been described as potential alternatives to conventional antibiotics. However, after more than four decades of research no plant antimicrobial peptide is currently used for treating bacterial infections, due to their length, post-translational modifications or high dose requirement for a therapeutic effect . Here we report the design of antimicrobial peptides derived from a guava glycine-rich pept ...[more]

PMID: 29662055

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Project description:Antimicrobial resistance remains a great threat to global health. In response to the World Health Organizations' global call for action, nature has been explored for novel and safe antimicrobial candidates. To date, fish have gained recognition as potential source of safe, broad spectrum and effective antimicrobial therapeutics. The use of computational methods to design antimicrobial candidates of industrial application has however, been lagging behind. To fill the gap and contribute to the current fish-derived antimicrobial peptide repertoire, this study used Support Vector Machines algorithm to fish out fish-antimicrobial peptide-motif candidates encrypted in 127 peptides submitted at the Antimicrobial Peptide Database (APD3), steered by their physico-chemical characteristics (i.e., positive net charge, hydrophobicity, stability, molecular weight and sequence length). The best two novel antimicrobial peptide-motifs (A15_B, A15_E) with the lowest instability index (-28.25, -22.49, respectively) and highest isoelectric point (pI) index (10.48 for each) were selected for further analysis. Their 3D structures were predicted using I-TASSER and PEP-FOLD servers while ProSA, PROCHECK, and ANOLEA were used to validate them. The models predicted by I-TASSER were found to be better than those predicted by PEP-FOLD upon validation. Two I-TASSER models with the lowest c-score of -0.10 and -0.30 for A15_B and A15_E peptide-motifs, respectively, were selected for docking against known bacterial-antimicrobial target-proteins retrieved from protein databank (PDB). Carbapenam-3-carboxylate synthase (PDB ID; 4oj8) yielded the lowest docking energy (-8.80 and -7.80 Kcal/mol) against motif A15_B and A15_E, respectively, using AutoDock VINA. Further, in addition to Carbapenam-3-carboxylate synthase, these peptides (A15_B and A15_E) were found to as well bind to membrane protein (PDB ID: 1by3) and Carbapenem synthetase (PDB: 1q15) when ClusPro and HPEPDOCK tools were used. The membrane protein yielded docking energy scores (DES): -290.094, -270.751; coefficient weight (CW): -763.6, 763.3 for A15_B and A15_E) whereas, Carbapenem synthetase (PDB: 1q15) had a DES of -236.802, -262.75 and a CW of -819.7, -829.7 for peptides A15_B and A15_E, respectively. Motif A15_B of amino acid positions 2-19 in Pleurocidin exhibited the strongest in silico antimicrobial potentials. This segment could be a good biological candidate of great application in pharmaceutical industries as an antimicrobial drug candidate.

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In silico optimization of a guava antimicrobial peptide enables combinatorial exploration for peptide design.

Publications

In silico optimization of a guava antimicrobial peptide enables combinatorial exploration for peptide design.

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