Literature DB >> 12414676

Analysis and evaluation of channel models: simulations of alamethicin.

D Peter Tieleman1, Berk Hess, Mark S P Sansom.   

Abstract

Alamethicin is an antimicrobial peptide that forms stable channels with well-defined conductance levels. We have used extended molecular dynamics simulations of alamethicin bundles consisting of 4, 5, 6, 7, and 8 helices in a palmitoyl-oleolyl-phosphatidylcholine bilayer to evaluate and analyze channel models and to link the models to the experimentally measured conductance levels. Our results suggest that four helices do not form a stable water-filled channel and might not even form a stable intermediate. The lowest measurable conductance level is likely to correspond to the pentamer. At higher aggregation numbers the bundles become less symmetrical. Water properties inside the different-sized bundles are similar. The hexamer is the most stable model with a stability comparable with simulations based on crystal structures. The simulation was extended from 4 to 20 ns or several times the mean passage time of an ion. Essential dynamics analyses were used to test the hypothesis that correlated motions of the helical bundles account for high-frequency noise observed in open channel measurements. In a 20-ns simulation of a hexameric alamethicin bundle, the main motions are those of individual helices, not of the bundle as a whole. A detailed comparison of simulations using different methods to treat long-range electrostatic interactions (a twin range cutoff, Particle Mesh Ewald, and a twin range cutoff combined with a reaction field correction) shows that water orientation inside the alamethicin channels is sensitive to the algorithms used. In all cases, water ordering due to the protein structure is strong, although the exact profile changes somewhat. Adding an extra 4-nm layer of water only changes the water ordering slightly in the case of particle mesh Ewald, suggesting that periodicity artifacts for this system are not serious.

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Year:  2002        PMID: 12414676      PMCID: PMC1302328          DOI: 10.1016/s0006-3495(02)75253-3

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  56 in total

1.  Structure-based prediction of the conductance properties of ion channels.

Authors:  O S Smart; G M Coates; M S Sansom; G M Alder; C L Bashford
Journal:  Faraday Discuss       Date:  1998       Impact factor: 4.008

2.  An alamethicin channel in a lipid bilayer: molecular dynamics simulations.

Authors:  D P Tieleman; H J Berendsen; M S Sansom
Journal:  Biophys J       Date:  1999-04       Impact factor: 4.033

Review 3.  Structure and function of channel-forming peptaibols.

Authors:  M S Sansom
Journal:  Q Rev Biophys       Date:  1993-11       Impact factor: 5.318

4.  Engineering stabilized ion channels: covalent dimers of alamethicin.

Authors:  S You; S Peng; L Lien; J Breed; M S Sansom; G A Woolley
Journal:  Biochemistry       Date:  1996-05-21       Impact factor: 3.162

5.  HOLE: a program for the analysis of the pore dimensions of ion channel structural models.

Authors:  O S Smart; J G Neduvelil; X Wang; B A Wallace; M S Sansom
Journal:  J Mol Graph       Date:  1996-12

6.  Intrinsic rectification of ion flux in alamethicin channels: studies with an alamethicin dimer.

Authors:  G A Woolley; P C Biggin; A Schultz; L Lien; D C Jaikaran; J Breed; K Crowhurst; M S Sansom
Journal:  Biophys J       Date:  1997-08       Impact factor: 4.033

7.  Exploring models of the influenza A M2 channel: MD simulations in a phospholipid bilayer.

Authors:  L R Forrest; A Kukol; I T Arkin; D P Tieleman; M S Sansom
Journal:  Biophys J       Date:  2000-01       Impact factor: 4.033

Review 8.  Hinges, swivels and switches: the role of prolines in signalling via transmembrane alpha-helices.

Authors:  M S Sansom; H Weinstein
Journal:  Trends Pharmacol Sci       Date:  2000-11       Impact factor: 14.819

9.  Alamethicin and related peptaibols--model ion channels.

Authors:  M S Sansom
Journal:  Eur Biophys J       Date:  1993       Impact factor: 1.733

10.  Synthetic amphiphilic peptide models for protein ion channels.

Authors:  J D Lear; Z R Wasserman; W F DeGrado
Journal:  Science       Date:  1988-05-27       Impact factor: 47.728

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  44 in total

1.  The implementation of slab geometry for membrane-channel molecular dynamics simulations.

Authors:  David Bostick; Max L Berkowitz
Journal:  Biophys J       Date:  2003-07       Impact factor: 4.033

2.  Conformation of peptides in lipid membranes studied by x-ray grazing incidence scattering.

Authors:  Alexander Spaar; Christian Münster; Tim Salditt
Journal:  Biophys J       Date:  2004-07       Impact factor: 4.033

3.  Density-dependent changes of the pore properties of the P2X2 receptor channel.

Authors:  Yuichiro Fujiwara; Yoshihiro Kubo
Journal:  J Physiol       Date:  2004-04-23       Impact factor: 5.182

Review 4.  Helical kink and channel behaviour: a comparative study with the peptaibols alamethicin, trichotoxin and antiamoebin.

Authors:  H Duclohier
Journal:  Eur Biophys J       Date:  2004-03-11       Impact factor: 1.733

5.  Coupled motions between pore and voltage-sensor domains: a model for Shaker B, a voltage-gated potassium channel.

Authors:  Werner Treptow; Bernard Maigret; Christophe Chipot; Mounir Tarek
Journal:  Biophys J       Date:  2004-10       Impact factor: 4.033

6.  A new smoothing function to introduce long-range electrostatic effects in QM/MM calculations.

Authors:  Dong Fang; Robert E Duke; G Andrés Cisneros
Journal:  J Chem Phys       Date:  2015-07-28       Impact factor: 3.488

7.  Molecular dynamics simulation of water permeation through the alpha-hemolysin channel.

Authors:  Jirasak Wong-Ekkabut; Mikko Karttunen
Journal:  J Biol Phys       Date:  2015-08-12       Impact factor: 1.365

8.  Multiscale modeling of droplet interface bilayer membrane networks.

Authors:  Eric C Freeman; Amir B Farimani; Narayana R Aluru; Michael K Philen
Journal:  Biomicrofluidics       Date:  2015-11-09       Impact factor: 2.800

9.  Effect of the cosolutes trehalose and methanol on the equilibrium and phase-transition properties of glycerol-monopalmitate lipid bilayers investigated using molecular dynamics simulations.

Authors:  Monika Laner; Bruno A C Horta; Philippe H Hünenberger
Journal:  Eur Biophys J       Date:  2014-08-24       Impact factor: 1.733

10.  Structural Behavior of the Peptaibol Harzianin HK VI in a DMPC Bilayer: Insights from MD Simulations.

Authors:  Marina Putzu; Sezgin Kara; Sergii Afonin; Stephan L Grage; Andrea Bordessa; Grégory Chaume; Thierry Brigaud; Anne S Ulrich; Tomáš Kubař
Journal:  Biophys J       Date:  2017-06-20       Impact factor: 4.033

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