Research article Special Issues

Thermal denaturation of a coronavirus envelope (CoVE) protein by a coarse-grained Monte Carlo simulation

  • Received: 26 July 2022 Revised: 01 November 2022 Accepted: 02 November 2022 Published: 09 November 2022
  • Thermal response of an envelope protein conformation from coronavirus-2 (CoVE) is studied by a coarse-grained Monte Carlo simulation. Three distinct segments, the N-terminal, Trans-membrane, and C-terminal are verified from its specific contact profile. The radius of gyration (Rg) reveals a non-monotonic sub-universal thermal response: Rg decays substantially on heating in native phase under low-temperature regime in contrast to a continuous increase on further raising the temperature prior to its saturation to a random-coil in denature phase. The globularity index which is a measure of effective dimension of the protein, decreases as the protein denatures from a globular to a random-coil conformation.

    Citation: Panisak Boonamnaj, Pornthep Sompornpisut, Piyarat Nimmanpipug, R.B. Pandey. Thermal denaturation of a coronavirus envelope (CoVE) protein by a coarse-grained Monte Carlo simulation[J]. AIMS Biophysics, 2022, 9(4): 330-340. doi: 10.3934/biophy.2022027

    Related Papers:

  • Thermal response of an envelope protein conformation from coronavirus-2 (CoVE) is studied by a coarse-grained Monte Carlo simulation. Three distinct segments, the N-terminal, Trans-membrane, and C-terminal are verified from its specific contact profile. The radius of gyration (Rg) reveals a non-monotonic sub-universal thermal response: Rg decays substantially on heating in native phase under low-temperature regime in contrast to a continuous increase on further raising the temperature prior to its saturation to a random-coil in denature phase. The globularity index which is a measure of effective dimension of the protein, decreases as the protein denatures from a globular to a random-coil conformation.



    加载中

    Acknowledgments



    The authors acknowledge HPC at The University of Southern Mississippi supported by the National Science Foundation under the Major Research Instrumentation (MRI) program via Grant # ACI 1626217.

    Conflict of interest



    The authors declare no conflict of interest.

    Author contributions



    Panisak Boonamnaj: Conceptualization, Pornthep Sompornpisut: Conceptualization, Writing-Review & Editing, Administration, Piyarat Nimmanpipug: Conceptualization, R.B. Pandey: Conceptualization, Methodology, Investigation, Formal Analysis, Writing-Original Draft, Review & Editing.

    [1] Giri R, Bhardwaj T, Shegane M, et al. (2021) Understanding COVID‑19 via comparative analysis of dark proteomes of SARS‑CoV‑2, human SARS and bat SARS‑like coronaviruses. Cell Mol Life Sci 78: 1655-1688. https://doi.org/10.1007/s00018-020-03603-x
    [2] Wan Y, Shang J, Graham R, et al. (2020) Receptor recognition by the novel coronavirus from Wuhan: an analysis based on decade-long structural studies of SARS coronavirus. J Virol 94: e00127-20. https://doi.org/10.1128/JVI.00127-20
    [3] Xu J, Zhao S, Teng T, et al. (2020) Systematic comparison of two animal-to-human transmitted human coronaviruses: SARS-CoV-2 and SARS-CoV. Viruses 12: 244. https://doi.org/10.3390/v12020244
    [4] Schoeman D, Fielding BC (2019) Coronavirus envelope protein: current knowledge. Virol J 16: 69. https://doi.org/10.1186/s12985-019-1182-0
    [5] Siu YL, Teoh KT, Lo J, et al. (2008) The M, E, and N structural proteins of the severe acute respiratory syndrome coronavirus are required for efficient assembly, trafficking, and release of virus-like particles. J Virol 82: 11318-11330. https://doi.org/10.1128/JVI.01052-08
    [6] Pawłowski PH (2021) Charged amino acids may promote coronavirus SARS-CoV-2 fusion with the host cell. AIMS Biophys 8: 111-120. https://doi.org/10.3934/biophy.2021008
    [7] Pawłowski PH (2022) SARS-CoV-2 variant Omicron (B. 1.1. 529) is in a rising trend of mutations increasing the positive electric charge in crucial regions of the spike protein S. Acta Biochim Pol 69: 263-264. https://doi.org/10.18388/abp.2020_6072
    [8] Wu C, Yin W, Jiang Y, et al. (2022) Structure genomics of SARS-CoV-2 and its Omicron variant: drug design templates for COVID-19. Acta Pharmacol Sin : 1-13. https://doi.org/10.1038/s41401-021-00851-w
    [9] Naqvi AAT, Fatima K, Mohammad T, et al. (2020) Insights into SARS-CoV-2 genome, structure, evolution, pathogenesis and therapies: structural genomics approach. BBA-Mol Basis Dis 1866: 165878. https://doi.org/10.1016/j.bbadis.2020.165878
    [10] Consortium UniProt (2021) UniProt: the universal protein knowledgebase in 2021. Nucleic Acids Res 49: D480-D489. https://doi.org/10.1093/nar/gkaa1100
    [11] Wilson L, Mckinlay C, Gage P, et al. (2004) SARS coronavirus E protein forms cation-selective ion channels. Virology 330: 322-331. https://doi.org/10.1016/j.virol.2004.09.033
    [12] Torres J, Wang J, Parthasarathy K, et al. (2005) The transmembrane oligomers of coronavirus protein E. Biophys J 88: 1283-1290. https://doi.org/10.1529/biophysj.104.051730
    [13] Liu J, Sun Y, Qi J, et al. (2010) The membrane protein of severe acute respiratory syndrome coronavirus acts as a dominant immunogen revealed by a clustering region of novel functionally and structurally defined cytotoxic T-lymphocyte epitopes. J Infect Dis 202: 1171-1180. https://doi.org/10.1086/656315
    [14] Venkatagopalan P, Daskalova SM, Lopez LA, et al. (2015) Coronavirus envelope(E) protein remains at the site of assembly. Virology 478: 75-85. https://doi.org/10.1016/j.virol.2015.02.005
    [15] Surya W, Li Y, Torres J (2018) Structural model of the SARS coronavirus E channel in LMPG micelles. BBA-Biomembranes 1860: 1309-1317. https://doi.org/10.1016/j.bbamem.2018.02.017
    [16] Gupta MK, Vemula S, Donde R, et al. (2021) In-silico approaches to detect inhibitors of the human severe acute respiratory syndrome coronavirus envelope protein ion channel. J Biomol Struct Dyn 39: 2617-2627. https://doi.org/10.1080/07391102.2020.1751300
    [17] Kuzmin A, Orekhov P, Astashkin R, et al. (2022) Structure and dynamics of the SARS-CoV-2 envelope protein monomer. Proteins 90: 1102-1114. https://doi.org/10.1002/prot.26317
    [18] Binder K (1995) Monte Carlo and Molecular Dynamics Simulations in Polymer Science 1 Eds., New York: Oxford University Press.
    [19] Fritsche M, Pandey RB, Farmer BL, et al. (2013) Variation in structure of a protein (H2AX) with knowledge-based interactions. PLoS One 8: e64507. https://doi.org/10.1371/journal.pone.0064507
    [20] Boonamnaj P, Paudel SS, Jetsadawisut W, et al. (2019) Thermal-response of a protein (hHv1) by a coarse-grained MC and all-atom MD computer simulations. Physica A 527: 121310. https://doi.org/10.1016/j.physa.2019.121310
    [21] Rangubpit W, Sompornpisut P, Pandey RB (2021) Thermal-induced unfolding-refolding of a nucleocapsid COVN protein. AIMS Biophys 8: 103-110. https://doi.org/10.3934/biophy.2021007
    [22] Betancourt MR, Thirumalai D (1999) Pair potentials for protein folding: choice of reference states and sensitivity of predicted native states to variations in the interaction schemes. Protein Sci 8: 361-369. https://doi.org/10.1110/ps.8.2.361
    [23] Miyazawa S, Jernigan RL (1985) Estimation of effective interresidue contact energies from protein crystal structures: quasi-chemical approximation. Macromolecules 18: 534-552. https://doi.org/10.1021/MA00145A039
    [24] Miyazawa S, Jernigan RL (1996) Residue-residue potentials with a favorable contact pair term and an unfavorable high packing density term, for simulation and treading. J Mol Biol 256: 623-644. https://doi.org/10.1006/JMBI.1996.0114
    [25] Tanaka S, Scheraga HA (1976) Medium- and long-range interaction parameters between amino acids for predicting three-dimensional structures of proteins. Macromolecules 9: 945-950. https://doi.org/10.1021/ma60054a013
    [26] Godzik A (1996) >Knowledge-based potentials for protein folding: what can we learn from known protein structures? Structure 4: 363-366. https://doi.org/10.1016/s0969-2126(96)00041-x
    [27] Huang SY, Zou X (2011) Statistical mechanics-based method to extract atomic distance-dependent potentials from protein structures. Proteins 79: 2648-2661. https://doi.org/10.1002/prot.23086
    [28] Caetano DLZ, Metzler R, Cherstvy AG, et al. (2021) Adsorption of Lysozyme into a charged confining pore. https://doi.org/10.1101/2021.07.11.451934
  • Reader Comments
  • © 2022 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(894) PDF downloads(66) Cited by(0)

Article outline

Figures and Tables

Figures(6)

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog