Literature DB >> 20673230

Antimicrobial and cell-penetrating peptides: structure, assembly and mechanisms of membrane lysis via atomistic and coarse-grained molecular dynamics simulations.

Peter J Bond1, Syma Khalid.   

Abstract

Antimicrobial peptides (AMPs) are short, cationic, membrane-interacting proteins that exhibit broad-spectrum antimicrobial activity, and are hence of significant biomedical interest. They exert their activity by selectively binding to and lysing target cell membranes, but the precise molecular details of their mechanism are not known. This is further complicated by the fact that their structural characteristics are dependent upon the local lipid environment. As a result, molecular dynamics (MD) simulations have been applied to understand the conformation and mechanism of AMPs, as well as related viral and cell-penetrating peptides. In particular, atomically detailed MD simulation studies on the timescale of tens to hundreds of nanoseconds have successfully helped to: (i) model or refine the conformation of AMPs and their aggregates in the presence of membrane-mimicking solvent mixtures, detergent micelles, and lipid bilayers; (ii) follow the process of adsorption of individual AMPs to membrane surfaces; and (iii) observe the spontaneous assembly of multiple peptides and subsequent cooperative membrane lysis. More recently, coarse-grained (CG) models have been developed to extend the time and length scales accessible to simulations of membrane/peptide systems. CG simulations on the order of microseconds have provided insight into AMP lytic mechanisms, and how they depend upon such factors as peptide concentration, lipid composition, and bilayer curvature. These studies have been supplemented by combined atomistic/CG and integrated multiscale models. Together, simulations have deepened our understanding of the interactions between AMPs and biological membranes, and will help to design new synthetic peptides with enhanced biomedical potential.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20673230     DOI: 10.2174/0929866511009011313

Source DB:  PubMed          Journal:  Protein Pept Lett        ISSN: 0929-8665            Impact factor:   1.890


  15 in total

Review 1.  Designing antimicrobial peptides: form follows function.

Authors:  Christopher D Fjell; Jan A Hiss; Robert E W Hancock; Gisbert Schneider
Journal:  Nat Rev Drug Discov       Date:  2011-12-16       Impact factor: 84.694

Review 2.  Computational studies of peptide-induced membrane pore formation.

Authors:  Richard Lipkin; Themis Lazaridis
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2017-08-05       Impact factor: 6.237

3.  Accelerated molecular dynamics simulation analysis of MSI-594 in a lipid bilayer.

Authors:  Shruti Mukherjee; Rajiv K Kar; Ravi Prakash Reddy Nanga; Kamal H Mroue; Ayyalusamy Ramamoorthy; Anirban Bhunia
Journal:  Phys Chem Chem Phys       Date:  2017-07-26       Impact factor: 3.676

4.  The molecular basis for antimicrobial activity of pore-forming cyclic peptides.

Authors:  Anna D Cirac; Gemma Moiset; Jacek T Mika; Armagan Koçer; Pedro Salvador; Bert Poolman; Siewert J Marrink; Durba Sengupta
Journal:  Biophys J       Date:  2011-05-18       Impact factor: 4.033

5.  Insights into buforin II membrane translocation from molecular dynamics simulations.

Authors:  Donald E Elmore
Journal:  Peptides       Date:  2012-09-26       Impact factor: 3.750

6.  Binding, folding and insertion of a β-hairpin peptide at a lipid bilayer surface: Influence of electrostatics and lipid tail packing.

Authors:  Keon A Reid; Caitlin M Davis; R Brian Dyer; James T Kindt
Journal:  Biochim Biophys Acta Biomembr       Date:  2017-12-30       Impact factor: 3.747

7.  Using infrared spectroscopy of cyanylated cysteine to map the membrane binding structure and orientation of the hybrid antimicrobial peptide CM15.

Authors:  Katherine N Alfieri; Alice R Vienneau; Casey H Londergan
Journal:  Biochemistry       Date:  2011-12-02       Impact factor: 3.162

Review 8.  Computational studies of protegrin antimicrobial peptides: a review.

Authors:  Dan S Bolintineanu; Yiannis N Kaznessis
Journal:  Peptides       Date:  2010-10-12       Impact factor: 3.750

9.  Monte Carlo simulations of peptide-membrane interactions with the MCPep web server.

Authors:  Yana Gofman; Turkan Haliloglu; Nir Ben-Tal
Journal:  Nucleic Acids Res       Date:  2012-06-13       Impact factor: 16.971

10.  Dual action of BPC194: a membrane active peptide killing bacterial cells.

Authors:  Gemma Moiset; Anna D Cirac; Marc C A Stuart; Siewert-Jan Marrink; Durba Sengupta; Bert Poolman
Journal:  PLoS One       Date:  2013-04-19       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.