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Computer Research and Modeling, 2023, Volume 15, Issue 3, Pages 723–738
DOI: https://doi.org/10.20537/2076-7633-2023-15-3-723-738
(Mi crm1085)
 

This article is cited in 2 scientific papers (total in 2 papers)

ANALYSIS AND MODELING OF COMPLEX LIVING SYSTEMS

Analysis of Brownian and molecular dynamics trajectories of to reveal the mechanisms of protein-protein interactions

V. A. Fedorov, S. S. Khruschev, I. B. Kovalenko

Lomonosov Moscow State University, School of Biology, Biophysics Department, 1-12 Leninskie Gory, Moscow, 119992, Russia
References:
Abstract: The paper proposes a set of fairly simple analysis algorithms that can be used to analyze a wide range of protein-protein interactions. In this work, we jointly use the methods of Brownian and molecular dynamics to describe the process of formation of a complex of plastocyanin and cytochrome f proteins in higher plants. In the diffusion-collision complex, two clusters of structures were revealed, the transition between which is possible with the preservation of the position of the center of mass of the molecules and is accompanied only by a rotation of plastocyanin by 134 degrees. The first and second clusters of structures of collisional complexes differ in that in the first cluster with a positively charged region near the small domain of cytochrome f, only the “lower” plastocyanin region contacts, while in the second cluster, both negatively charged regions. The “upper” negatively charged region of plastocyanin in the first cluster is in contact with the amino acid residue of lysine K122. When the final complex is formed, the plastocyanin molecule rotates by 69 degrees around an axis passing through both areas of electrostatic contact. With this rotation, water is displaced from the regions located near the cofactors of the molecules and formed by hydrophobic amino acid residues. This leads to the appearance of hydrophobic contacts, a decrease in the distance between the cofactors to a distance of less than 1.5 nm, and further stabilization of the complex in a position suitable for electron transfer. Characteristics such as contact matrices, rotation axes during the transition between states, and graphs of changes in the number of contacts during the modeling process make it possible to determine the key amino acid residues involved in the formation of the complex and to reveal the physicochemical mechanisms underlying this process
Keywords: Brownian dynamics, protein-protein interactions, cluster analysis, amino acid contact matrix, plastocyanin, cytochrome f.
Funding agency Grant number
Ministry of Education and Science of the Russian Federation ÌÊ-2931.2022.1.4
The work was supported by the grant of the President of the Russian Federation for state support of young Russian scientists – PhD MK-2931.2022.1.4.
Received: 13.12.2022
Revised: 28.03.2023
Accepted: 26.04.2023
Document Type: Article
UDC: 577.322
Language: Russian
Supplementary materials:
44_fedorov_supplementary_information.pdf (67.6 Kb)
Citation: V. A. Fedorov, S. S. Khruschev, I. B. Kovalenko, “Analysis of Brownian and molecular dynamics trajectories of to reveal the mechanisms of protein-protein interactions”, Computer Research and Modeling, 15:3 (2023), 723–738
Citation in format AMSBIB
\Bibitem{FedKhrKov23}
\by V.~A.~Fedorov, S.~S.~Khruschev, I.~B.~Kovalenko
\paper Analysis of Brownian and molecular dynamics trajectories
of to reveal the mechanisms of protein-protein interactions
\jour Computer Research and Modeling
\yr 2023
\vol 15
\issue 3
\pages 723--738
\mathnet{http://mi.mathnet.ru/crm1085}
\crossref{https://doi.org/10.20537/2076-7633-2023-15-3-723-738}
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  • https://www.mathnet.ru/eng/crm/v15/i3/p723
  • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Computer Research and Modeling
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