Computational design of the helical hairpin structure of membrane-active antibacterial peptides based on RSV glycoprotein epitope scaffold. (April 2018)
- Record Type:
- Journal Article
- Title:
- Computational design of the helical hairpin structure of membrane-active antibacterial peptides based on RSV glycoprotein epitope scaffold. (April 2018)
- Main Title:
- Computational design of the helical hairpin structure of membrane-active antibacterial peptides based on RSV glycoprotein epitope scaffold
- Authors:
- Fu, Jinhua
Yang, Hong
Wang, Jing - Abstract:
- Graphical abstract: Highlights: Membrane-active antibacterial peptides are derived from RSV glycoprotein epitope. Peptide–membrane interaction is investigated systematically using dynamics simulation. Peptide charge and conformation are critical for membrane activity and antibacterial potency. Abstract: Peptides with helical hairpin conformation have been found to possess potent membrane activity and can be exploited as the structural scaffold of antibacterial peptides (ABPs). Here, we attempted to computationally design membrane-active ABPs based on the helical hairpin motif of respiratory syncytial virus (RSV) glycoprotein epitope. Dynamics simulations revealed that the epitope peptide Rfe (net charge = −1) cannot effectively interact with and permeabilize bacterial membrane due to the electrostatic repulsion between the negatively charged peptide and anionic membrane surface. The native Rfe can be modified to a cationic peptide Rfe-KKK (net charge = +6) by triple mutation of its positively charged residues Glu256, Asp263 and Asp269 to a basic lysine as well as by C-terminal amidation. As might be expected, the modified peptide was able to target membrane surface with a moderate antibacterial potency (MIC = 50–100 μg/ml). Next, a cyclized version of the linear Rfe-KKK was generated, termed as cycRfe-KKK, which was observed to have improved membrane activity and increased antibacterial potency (MIC < 50 μg/ml) by pre-stabilizing amphipathic hairpin conformation of theGraphical abstract: Highlights: Membrane-active antibacterial peptides are derived from RSV glycoprotein epitope. Peptide–membrane interaction is investigated systematically using dynamics simulation. Peptide charge and conformation are critical for membrane activity and antibacterial potency. Abstract: Peptides with helical hairpin conformation have been found to possess potent membrane activity and can be exploited as the structural scaffold of antibacterial peptides (ABPs). Here, we attempted to computationally design membrane-active ABPs based on the helical hairpin motif of respiratory syncytial virus (RSV) glycoprotein epitope. Dynamics simulations revealed that the epitope peptide Rfe (net charge = −1) cannot effectively interact with and permeabilize bacterial membrane due to the electrostatic repulsion between the negatively charged peptide and anionic membrane surface. The native Rfe can be modified to a cationic peptide Rfe-KKK (net charge = +6) by triple mutation of its positively charged residues Glu256, Asp263 and Asp269 to a basic lysine as well as by C-terminal amidation. As might be expected, the modified peptide was able to target membrane surface with a moderate antibacterial potency (MIC = 50–100 μg/ml). Next, a cyclized version of the linear Rfe-KKK was generated, termed as cycRfe-KKK, which was observed to have improved membrane activity and increased antibacterial potency (MIC < 50 μg/ml) by pre-stabilizing amphipathic hairpin conformation of the peptide. … (more)
- Is Part Of:
- Computational biology and chemistry. Volume 73(2018)
- Journal:
- Computational biology and chemistry
- Issue:
- Volume 73(2018)
- Issue Display:
- Volume 73, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 73
- Issue:
- 2018
- Issue Sort Value:
- 2018-0073-2018-0000
- Page Start:
- 200
- Page End:
- 205
- Publication Date:
- 2018-04
- Subjects:
- Membrane activity -- Glycoprotein epitope -- Bacterial infection -- Antibacterial peptide -- Helical hairpin -- Structural dynamics
Chemistry -- Data processing -- Periodicals
Biology -- Data processing -- Periodicals
Biochemistry -- Data processing
Biology -- Data processing
Molecular biology -- Data processing
Periodicals
Electronic journals
542.85 - Journal URLs:
- http://www.sciencedirect.com/science/journal/14769271 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.compbiolchem.2018.02.013 ↗
- Languages:
- English
- ISSNs:
- 1476-9271
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3390.576700
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 20965.xml