Literature DB >> 18455267

Correlation between simulated physicochemical properties and hemolycity of protegrin-like antimicrobial peptides: predicting experimental toxicity.

Allison A Langham1, Himanshu Khandelia, Benjamin Schuster, Alan J Waring, Robert I Lehrer, Yiannis N Kaznessis.   

Abstract

The therapeutic, antibiotic potential of antimicrobial peptides can be prohibitively diminished because of the cytotoxicity and hemolytic profiles they exhibit. Quantifying and predicting antimicrobial peptide toxicity against host cells is thus an important goal of AMP related research. In this work, we present quantitative structure activity relationships for toxicity of protegrin-like antimicrobial peptides against human cells (epithelial and red blood cells) based on physicochemical properties, such as interaction energies and radius of gyration, calculated from molecular dynamics simulations of the peptides in aqueous solvent. The hypothesis is that physicochemical properties of peptides, as manifest by their structure and interactions in a solvent and as captured by atomistic simulations, are responsible for their toxicity against human cells. Protegrins are beta-hairpin peptides with high activity against a wide variety of microbial species, but in their native state are toxic to human cells. Sixty peptides with experimentally determined toxicities were used to develop the models. We test the resulting relationships to determine their ability to predict the toxicity of several protegrin-like peptides. The developed QSARs provide insight into the mechanism of cytotoxic action of antimicrobial peptides. In a subsequent blind test, the QSAR correctly ranked four of five protegrin analogues newly synthesized and tested for toxicity.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18455267      PMCID: PMC2424260          DOI: 10.1016/j.peptides.2008.03.018

Source DB:  PubMed          Journal:  Peptides        ISSN: 0196-9781            Impact factor:   3.750


  40 in total

Review 1.  Animal antimicrobial peptides: an overview.

Authors:  D Andreu; L Rivas
Journal:  Biopolymers       Date:  1998       Impact factor: 2.505

Review 2.  Mode of action of linear amphipathic alpha-helical antimicrobial peptides.

Authors:  Z Oren; Y Shai
Journal:  Biopolymers       Date:  1998       Impact factor: 2.505

3.  Cation-pi interactions stabilize the structure of the antimicrobial peptide indolicidin near membranes: molecular dynamics simulations.

Authors:  Himanshu Khandelia; Yiannis N Kaznessis
Journal:  J Phys Chem B       Date:  2007-01-11       Impact factor: 2.991

4.  Membrane-bound dimer structure of a beta-hairpin antimicrobial peptide from rotational-echo double-resonance solid-state NMR.

Authors:  R Mani; M Tang; X Wu; J J Buffy; A J Waring; M A Sherman; M Hong
Journal:  Biochemistry       Date:  2006-07-11       Impact factor: 3.162

5.  Protegrins: leukocyte antimicrobial peptides that combine features of corticostatic defensins and tachyplesins.

Authors:  V N Kokryakov; S S Harwig; E A Panyutich; A A Shevchenko; G M Aleshina; O V Shamova; H A Korneva; R I Lehrer
Journal:  FEBS Lett       Date:  1993-07-26       Impact factor: 4.124

6.  MSI-78, an analogue of the magainin antimicrobial peptides, disrupts lipid bilayer structure via positive curvature strain.

Authors:  Kevin J Hallock; Dong-Kuk Lee; A Ramamoorthy
Journal:  Biophys J       Date:  2003-05       Impact factor: 4.033

7.  How can a beta-sheet peptide be both a potent antimicrobial and harmfully toxic? Molecular dynamics simulations of protegrin-1 in micelles.

Authors:  Allison A Langham; Himanshu Khandelia; Yiannis N Kaznessis
Journal:  Biopolymers       Date:  2006       Impact factor: 2.505

8.  Susceptibility of Chlamydia trachomatis to protegrins and defensins.

Authors:  B Yasin; S S Harwig; R I Lehrer; E A Wagar
Journal:  Infect Immun       Date:  1996-03       Impact factor: 3.441

9.  HBTU activation for automated Fmoc solid-phase peptide synthesis.

Authors:  C G Fields; D H Lloyd; R L Macdonald; K M Otteson; R L Noble
Journal:  Pept Res       Date:  1991 Mar-Apr

10.  Comparison of interactions between beta-hairpin decapeptides and SDS/DPC micelles from experimental and simulation data.

Authors:  Allison A Langham; Alan J Waring; Y N Kaznessis
Journal:  BMC Biochem       Date:  2007-07-16       Impact factor: 4.059

View more
  15 in total

1.  Knowledge-based computational methods for identifying or designing novel, non-homologous antimicrobial peptides.

Authors:  Davor Juretić; Damir Vukičević; Dražen Petrov; Mario Novković; Viktor Bojović; Bono Lučić; Nada Ilić; Alessandro Tossi
Journal:  Eur Biophys J       Date:  2011-01-28       Impact factor: 1.733

2.  Oligomerization of the antimicrobial peptide Protegrin-5 in a membrane-mimicking environment. Structural studies by high-resolution NMR spectroscopy.

Authors:  Konstantin S Usachev; Olga A Kolosova; Evelina A Klochkova; Aidar R Yulmetov; Albert V Aganov; Vladimir V Klochkov
Journal:  Eur Biophys J       Date:  2016-09-02       Impact factor: 1.733

3.  Relative free energy of binding between antimicrobial peptides and SDS or DPC micelles.

Authors:  Abdallah Sayyed-Ahmad; Himanshu Khandelia; Yiannis N Kaznessis
Journal:  Mol Simul       Date:  2009-09       Impact factor: 2.178

4.  Antimicrobial protegrin-1 forms ion channels: molecular dynamic simulation, atomic force microscopy, and electrical conductance studies.

Authors:  Ricardo Capone; Mirela Mustata; Hyunbum Jang; Fernando Teran Arce; Ruth Nussinov; Ratnesh Lal
Journal:  Biophys J       Date:  2010-06-02       Impact factor: 4.033

Review 5.  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

6.  Free energy profile of the interaction between a monomer or a dimer of protegrin-1 in a specific binding orientation and a model lipid bilayer.

Authors:  Victor Vivcharuk; Yiannis Kaznessis
Journal:  J Phys Chem B       Date:  2010-03-04       Impact factor: 2.991

7.  Antimicrobial mechanism of pore-forming protegrin peptides: 100 pores to kill E. coli.

Authors:  Dan Bolintineanu; Ehsan Hazrati; H Ted Davis; Robert I Lehrer; Yiannis N Kaznessis
Journal:  Peptides       Date:  2009-11-30       Impact factor: 3.750

8.  Multiscale Models of Antibiotic Probiotics.

Authors:  Yiannis N Kaznessis
Journal:  Curr Opin Chem Eng       Date:  2014-11-01       Impact factor: 5.163

9.  Exploring the pharmacological potential of promiscuous host-defense peptides: from natural screenings to biotechnological applications.

Authors:  Osmar N Silva; Kelly C L Mulder; Aulus E A D Barbosa; Anselmo J Otero-Gonzalez; Carlos Lopez-Abarrategui; Taia M B Rezende; Simoni C Dias; Octávio L Franco
Journal:  Front Microbiol       Date:  2011-11-22       Impact factor: 5.640

Review 10.  Multiscale models of the antimicrobial peptide protegrin-1 on gram-negative bacteria membranes.

Authors:  Dan S Bolintineanu; Victor Vivcharuk; Yiannis N Kaznessis
Journal:  Int J Mol Sci       Date:  2012-09-05       Impact factor: 6.208

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.