Published December 1, 2010 | Version v1
Journal article

Modeling capsid self-assembly: design and analysis

Creators

  • 1. Department of Physics, Bar-Ilan University, Ramat-Gan 52900 (Israel)

Description

A series of simulations aimed at elucidating the self-assembly dynamics of spherical virus capsids is described. This little-understood phenomenon is a fascinating example of the complex processes that occur in the simplest of organisms. The fact that different viruses adopt similar structural forms is an indication of a common underlying design, motivating the use of simplified, low-resolution models in exploring the assembly process. Several versions of a molecular dynamics approach are described. Polyhedral shells of different sizes are involved, the assembly pathways are either irreversible or reversible and an explicit solvent is optionally included. Model design, simulation methodology and analysis techniques are discussed. The analysis focuses on the growth pathways and the nature of the intermediate states, properties that are hard to access experimentally. Among the key observations are that efficient growth proceeds by means of a cascade of highly reversible stages, and that while there are a large variety of possible partial assemblies, only a relatively small number of strongly bonded configurations are actually encountered

Availability note (English)

Available from http://dx.doi.org/10.1088/1478-3975/7/4/045001

Additional details

Identifiers

DOI
10.1088/1478-3975/7/4/045001;
PII
S1478-3975(10)52062-4;

Publishing Information

Journal Title
Physical Biology (Online)
Journal Volume
7
Journal Issue
4
Journal Page Range
[15 p.]
ISSN
1478-3975

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
47036242
Subject category
S75: CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY;
Descriptors DEI
CRYSTAL GROWTH; DESIGN; INTERMEDIATE STATE; MOLECULAR DYNAMICS METHOD; RESOLUTION; SIMULATION; SOLVENTS; SPHERICAL CONFIGURATION; VIRUSES
Descriptors DEC
CALCULATION METHODS; CONFIGURATION; MICROORGANISMS; PARASITES