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  Refined Protein-Sugar Interactions in the Martini Force Field

Heidari, M., Sikora, M., & Hummer, G. (2024). Refined Protein-Sugar Interactions in the Martini Force Field. Journal of Chemical Theory and Computation, 20(22), 10259-10265. doi:10.1021/acs.jctc.4c01092.

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 Creators:
Heidari, Maziar1, Author                 
Sikora, Meteusz2, Author
Hummer, Gerhard1, 3, Author                 
Affiliations:
1Department of Theoretical Biophysics, Max Planck Institute of Biophysics, Max Planck Society, ou_2068292              
2Malopolska Centre of Biotechnology, Jagiellonian University, Kraków, Poland, ou_persistent22              
3Institute of Biophysics, Goethe University Frankfurt, Frankfurt am Main, Germany, ou_persistent22              

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 Abstract: Sugar molecules play important roles as mediators of biomolecular interactions in cellular functions, disease, and infections. Molecular dynamics simulations are an indispensable tool to explore these interactions at the molecular level. The large time and length scales involved frequently necessitate the use of coarse-grained representations, which heavily depend on the parametrization of sugar-protein interactions. Here, we adjust the sugar-protein interactions in the widely used Martini 2.2 force field to reproduce the experimental osmotic second virial coefficients between sugars and proteins. In simulations of two model proteins in glucose solutions with adjusted force field parameters, we observe weak protein-sugar interactions. The sugar molecules are thus acting mainly as crowding agents, in agreement with experimental measurements. The procedure to fine-tune sugar-protein interactions is generally applicable and could also prove useful for atomistic force fields.

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Language(s): eng - English
 Dates: 2024-10-182024-08-202024-10-292024-11-082024-11-26
 Publication Status: Issued
 Pages: 7
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1021/acs.jctc.4c01092
BibTex Citekey: heidari_refined_2024
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Title: Journal of Chemical Theory and Computation
  Other : JCTC
  Abbreviation : J. Chem. Theory Comput.
Source Genre: Journal
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Publ. Info: Washington, D.C. : American Chemical Society
Pages: - Volume / Issue: 20 (22) Sequence Number: - Start / End Page: 10259 - 10265 Identifier: ISSN: 1549-9618
CoNE: https://pure.mpg.de/cone/journals/resource/111088195283832