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      All-Atom Molecular Dynamics Simulations of Entire Virus Capsid Reveal the Role of Ion Distribution in Capsid’s Stability

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          Abstract

          Present experimental methods do not have sufficient resolution to investigate all processes in virus particles at atomistic details. We report the results of molecular dynamics simulations and analyze the connection between the number of ions inside an empty capsid of PCV2 virus and its stability. We compare the crystallographic structures of the capsids with unresolved N-termini and without them in realistic conditions (room temperature and aqueous solution) and show that the structure is preserved. We find that the chloride ions play a key role in the stability of the capsid. A low number of chloride ions results in loss of the native icosahedral symmetry, while an optimal number of chloride ions create a neutralizing layer next to the positively charged inner surface of the capsid. Understanding the dependence of the capsid stability on the distribution of the ions will help clarify the details of the viral life cycle that is ultimately connected to the role of packaged viral genome inside the capsid.

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          Author and article information

          Journal
          101526034
          37347
          J Phys Chem Lett
          J Phys Chem Lett
          The journal of physical chemistry letters
          1948-7185
          23 February 2017
          01 February 2017
          16 February 2017
          16 February 2018
          : 8
          : 4
          : 779-784
          Affiliations
          []Immanuel Kant Baltic Federal University, A. Nevskogo Street 14, Kaliningrad, 236041, Russian Federation
          []Department of Physical Chemistry, V.N. Karazin Kharkiv National University, Svobody Square 4, Kharkiv, 61022, Ukraine
          [§ ]Department of Chemistry and Biochemistry, City College of New York, New York, New York 10031, United States
          [|| ]Laboratory for Computational Molecular Design, Computational Biology Research Core, RIKEN Quantitative Biology Center (QBiC), QBiC Building B, 6-2-4 Furuedai, Suita, Osaka 565-0874, Japan
          []Systems Analytics Research Institute, Aston University, Birmingham, B4 7ET, United Kingdom
          Author notes
          [* ]Corresponding Author: d.nerukh@ 123456aston.ac.uk

          ORCID

          Vladimir Farafonov: 0000-0003-0785-9582

          Dmitry Nerukh: 0000-0001-9005-9919

          Article
          PMC5391438 PMC5391438 5391438 nihpa853607
          10.1021/acs.jpclett.6b02759
          5391438
          28129688
          ce87a885-b6bd-42a0-9f52-b4324073f5bd
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