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Understanding Virus Structure and Dynamics through Molecular Simulations
[Image: see text] Viral outbreaks remain a serious threat to human and animal populations and motivate the continued development of antiviral drugs and vaccines, which in turn benefits from a detailed understanding of both viral structure and dynamics. While great strides have been made in character...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10269348/ https://www.ncbi.nlm.nih.gov/pubmed/37192279 http://dx.doi.org/10.1021/acs.jctc.3c00116 |
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author | Lynch, Diane L. Pavlova, Anna Fan, Zixing Gumbart, James C. |
author_facet | Lynch, Diane L. Pavlova, Anna Fan, Zixing Gumbart, James C. |
author_sort | Lynch, Diane L. |
collection | PubMed |
description | [Image: see text] Viral outbreaks remain a serious threat to human and animal populations and motivate the continued development of antiviral drugs and vaccines, which in turn benefits from a detailed understanding of both viral structure and dynamics. While great strides have been made in characterizing these systems experimentally, molecular simulations have proven to be an essential, complementary approach. In this work, we review the contributions of molecular simulations to the understanding of viral structure, functional dynamics, and processes related to the viral life cycle. Approaches ranging from coarse-grained to all-atom representations are discussed, including current efforts at modeling complete viral systems. Overall, this review demonstrates that computational virology plays an essential role in understanding these systems. |
format | Online Article Text |
id | pubmed-10269348 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-102693482023-06-16 Understanding Virus Structure and Dynamics through Molecular Simulations Lynch, Diane L. Pavlova, Anna Fan, Zixing Gumbart, James C. J Chem Theory Comput [Image: see text] Viral outbreaks remain a serious threat to human and animal populations and motivate the continued development of antiviral drugs and vaccines, which in turn benefits from a detailed understanding of both viral structure and dynamics. While great strides have been made in characterizing these systems experimentally, molecular simulations have proven to be an essential, complementary approach. In this work, we review the contributions of molecular simulations to the understanding of viral structure, functional dynamics, and processes related to the viral life cycle. Approaches ranging from coarse-grained to all-atom representations are discussed, including current efforts at modeling complete viral systems. Overall, this review demonstrates that computational virology plays an essential role in understanding these systems. American Chemical Society 2023-05-16 /pmc/articles/PMC10269348/ /pubmed/37192279 http://dx.doi.org/10.1021/acs.jctc.3c00116 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Lynch, Diane L. Pavlova, Anna Fan, Zixing Gumbart, James C. Understanding Virus Structure and Dynamics through Molecular Simulations |
title | Understanding Virus
Structure and Dynamics through
Molecular Simulations |
title_full | Understanding Virus
Structure and Dynamics through
Molecular Simulations |
title_fullStr | Understanding Virus
Structure and Dynamics through
Molecular Simulations |
title_full_unstemmed | Understanding Virus
Structure and Dynamics through
Molecular Simulations |
title_short | Understanding Virus
Structure and Dynamics through
Molecular Simulations |
title_sort | understanding virus
structure and dynamics through
molecular simulations |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10269348/ https://www.ncbi.nlm.nih.gov/pubmed/37192279 http://dx.doi.org/10.1021/acs.jctc.3c00116 |
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