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Water models in molecular dynamics simulation prediction of dielectric properties of biomaterials

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985882%3A_____%2F19%3A00499893" target="_blank" >RIV/67985882:_____/19:00499893 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/8510803" target="_blank" >https://ieeexplore.ieee.org/document/8510803</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/JERM.2018.2878379" target="_blank" >10.1109/JERM.2018.2878379</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Water models in molecular dynamics simulation prediction of dielectric properties of biomaterials

  • Original language description

    To develop and reliably use diagnostic and therapeutic methods employing microwaves, we need to have an accurate knowledge of biological dielectric properties. Traditionally, dielectric properties of biosamples are determined experimentally. However, such measurements require dedicated hardware and physical availability of sufficient volume of biological samples of interest. Instead, here we demonstrate the prediction of complex permittivity of a simple biomolecular sample using computational molecular dynamics simulations. We focus here on the role of a molecular model of water since it is the major compound determining microwave dielectric properties of biological tissues and wet samples. Here, for the first time, we analyze how the common molecular water models (SPCE, TIP3P, and TIP4P) affect complex permittivity of biomolecular solutions predicted by molecular dynamics simulations. We found that the type of the molecular water model used in the simulation affects not only water contribution but also biomolecule contribution to the permittivity spectra. Our results contribute to in silico prediction and understanding of dielectric properties of biomaterials

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology

  • ISSN

    2469-7249

  • e-ISSN

  • Volume of the periodical

    3

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    8

  • Pages from-to

    97-104

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85066002394