Literature DB >> 28007618

Virus-host interactome: Putting the accent on how it changes.

Guillermo Rodrigo1, José-Antonio Daròs2, Santiago F Elena3.   

Abstract

Viral infections are extremely complex processes that could only be well understood by precisely characterizing the interaction networks between the virus and the host components. In recent years, much effort has gone in this direction with the aim of unveiling the molecular basis of viral pathology. These networks are mostly formed by viral and host proteins, and are expected to be dynamic both with time and space (i.e., with the progression of infection, as well as with the virus and host genotypes; what we call plastodynamic). This largely overlooked spatio-temporal evolution urgently calls for a change both in the conceptual paradigms and experimental techniques used so far to characterize virus-host interactions. More generally, molecular plasticity and temporal dynamics are unavoidable components of the mechanisms that underlie any complex disease; components whose understanding will eventually enhance our ability to modulate those networks with the aim of improving disease treatments.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Evolution; Protein network; Systems biology; Virology

Mesh:

Substances:

Year:  2016        PMID: 28007618     DOI: 10.1016/j.jprot.2016.12.007

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  5 in total

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Authors:  Chanyong Jang; Renyuan Wang; Joseph Wells; Fabian Leon; Mark Farman; John Hammond; Michael M Goodin
Journal:  J Gen Virol       Date:  2017-06-21       Impact factor: 3.891

Review 2.  Effects of Arbovirus Multi-Host Life Cycles on Dinucleotide and Codon Usage Patterns.

Authors:  Nicole R Sexton; Gregory D Ebel
Journal:  Viruses       Date:  2019-07-12       Impact factor: 5.048

3.  TMT-based quantitative proteomics analysis reveals the attenuated replication mechanism of Newcastle disease virus caused by nuclear localization signal mutation in viral matrix protein.

Authors:  Zhiqiang Duan; Chao Yuan; Yifan Han; Lei Zhou; Jiafu Zhao; Yong Ruan; Jiaqi Chen; Mengmeng Ni; Xinqin Ji
Journal:  Virulence       Date:  2020-12       Impact factor: 5.882

4.  A multitask transfer learning framework for the prediction of virus-human protein-protein interactions.

Authors:  Thi Ngan Dong; Graham Brogden; Gisa Gerold; Megha Khosla
Journal:  BMC Bioinformatics       Date:  2021-11-27       Impact factor: 3.169

5.  Comparative proteomic analysis reveals different responses in porcine lymph nodes to virulent and attenuated homologous African swine fever virus strains.

Authors:  Júber Herrera-Uribe; Ángeles Jiménez-Marín; Anna Lacasta; Paula L Monteagudo; Sonia Pina-Pedrero; Fernando Rodríguez; Ángela Moreno; Juan J Garrido
Journal:  Vet Res       Date:  2018-09-12       Impact factor: 3.683

  5 in total

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