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How well do semiempirical QM methods describe the structure of proteins?

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388963%3A_____%2F23%3A00568443" target="_blank" >RIV/61388963:_____/23:00568443 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1063/5.0135091" target="_blank" >https://doi.org/10.1063/5.0135091</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1063/5.0135091" target="_blank" >10.1063/5.0135091</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    How well do semiempirical QM methods describe the structure of proteins?

  • Original language description

    Semiempirical quantum-mechanical (QM) computational methods are an increasingly popular tool for the study of biomolecular systems. They were, however, developed and tested mostly on small model molecules. In this work, we explore one topic fundamental to these applications: The ability of the methods to describe the structure of proteins. In a set of 19 proteins for which a crystal structure with very high resolution is available, we analyze the properties of the protein geometries optimized using several semiempirical QM methods including PM6-D3H4, PM7, and GFN2-xTB. Some of the methods provide a very good description of the general structural features of the protein, yielding results better than or comparable to the AMBER ff03 force field. However, PM7 and PM6-D3H4 optimizations introduce artificial close contacts in the structure, which is partially remediated by reparameterization.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10403 - Physical chemistry

Result continuities

  • Project

    <a href="/en/project/GA22-17063S" target="_blank" >GA22-17063S: Data-driven approach to the development of next-generation semiempirical QM methods</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2023

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Journal of Chemical Physics

  • ISSN

    0021-9606

  • e-ISSN

    1089-7690

  • Volume of the periodical

    158

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    8

  • Pages from-to

    044118

  • UT code for WoS article

    000922928600001

  • EID of the result in the Scopus database

    2-s2.0-85147090256