Literature DB >> 31317502

Computational Virology: Molecular Simulations of Virus Dynamics and Interactions.

Elizabeth E Jefferys1, Mark S P Sansom2.   

Abstract

Molecular modelling and simulations play a key role in computational virology, allowing us to study viruses and their components. This allows experimental structures and related information to be integrated into a single coherent model, enabling predictions about the behaviour of a viral system to go beyond what could be obtained experimentally. In this way, computational approaches provide a powerful complement to more traditional experimental and structural methods. In this chapter, we describe three main areas of computational virology to showcase the power of methods within this field. We begin by describing relatively small simulation systems and focusing on the behaviour of fusion peptides. Then, extending to longer timescales and larger systems, we discuss computational studies of viral capsid assembly and genome encapsidation. Finally, we describe recent developments which allow entire viral particles to be simulated.

Keywords:  Capsid; Envelope; Fusion peptide; Molecular dynamics simulation

Mesh:

Year:  2019        PMID: 31317502     DOI: 10.1007/978-3-030-14741-9_10

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  3 in total

Review 1.  Molecular dynamics of the viral life cycle: progress and prospects.

Authors:  Peter Eugene Jones; Carolina Pérez-Segura; Alexander J Bryer; Juan R Perilla; Jodi A Hadden-Perilla
Journal:  Curr Opin Virol       Date:  2021-08-28       Impact factor: 7.121

Review 2.  Approaches Based on Artificial Intelligence and the Internet of Intelligent Things to Prevent the Spread of COVID-19: Scoping Review.

Authors:  Aya Sedky Adly; Afnan Sedky Adly; Mahmoud Sedky Adly
Journal:  J Med Internet Res       Date:  2020-08-10       Impact factor: 5.428

3.  Analysis of the initiation of viral infection under flow conditions with applications to transmission in feed.

Authors:  Vladimir P Zhdanov; Joshua A Jackman
Journal:  Biosystems       Date:  2020-06-09       Impact factor: 1.973

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.