Aleksei S. Maslakov

Aleksei S. Maslakov

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Aleksei S. Maslakov

Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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27 November 2012 in Photosynthesis Research
Verified
Journal Article
Closed access
PDF file
TAT. K. Antal
T. K. Antal
AKAnna Kolacheva
Anna Kolacheva
AMA. Maslakov
A. Maslakov
GRG. Yu. Riznichenko
G. Yu. Riznichenko
TKT. E. Krendeleva
T. E. Krendeleva
ARA. B. Rubin
A. B. Rubin

1 May 2016 in Biophysics
Verified
Journal Article
Closed access
PDF file
AMA. S. Maslakov
A. S. Maslakov
TAT. K. Antal
T. K. Antal
GRG. Yu. Riznichenko
G. Yu. Riznichenko
ARA. B. Rubin
A. B. Rubin

19 August 2022 in Biophysical Reviews
Verified
Journal Article
Closed access
PDF file
GRGalina Yu. Riznichenko
Galina Yu. Riznichenko
TATaras K. Antal
Taras K. Antal
NBNatalia E. Belyaeva
Natalia E. Belyaeva
SKSergei S. Khruschev
Sergei S. Khruschev
IKIlya Kovalenko
Ilya Kovalenko
ARAndrew B. Rubin
Andrew B. Rubin

14 October 2022 in Biochemistry (Moscow)
Verified
Journal Article
Closed access
PDF file
GRGalina Yu. Riznichenko
Galina Yu. Riznichenko
NBNatalya E. Belyaeva
Natalya E. Belyaeva
IKIlya B. Kovalenko
Ilya B. Kovalenko
TATaras K. Antal
Taras K. Antal
SGSergei N. Goryachev
Sergei N. Goryachev
ARAndrew B. Rubin
Andrew B. Rubin
Summarized results of investigation of regulation of electron transport and associated processes in the photosynthetic membrane using methods of mathematical and computer modeling carried out at the Department of Biophysics, Faculty of Biology, Lomonosov Moscow State University, are presented in this review. Detailed kinetic models of processes in the thylakoid membrane were developed using the apparatus of differential equations. Fitting of the model curves to the data of spectral measurements allowed us to estimate the values of parameters that were not determined directly in experiments. The probabilistic method of agent-based Monte Carlo modeling provides ample opportunities for studying dynamics of heterogeneous systems based on the rules for the behavior of individual elements of the system. Algorithms for simplified representation of Big Data make it possible to monitor changes in the photosynthetic apparatus in the course of culture growth in a photobioreactor and for the purpose of environmental monitoring. Brownian and molecular models describe movement and interaction of individual electron carrier proteins and make it possible to study electrostatic, hydrophobic, and other interactions leading to regulation of conformational changes in the reaction complexes. Direct multiparticle models explicitly simulate Brownian diffusion of the mobile protein carriers and their electrostatic interactions with multienzyme complexes both in solution and in heterogeneous interior of a biomembrane. The combined use of methods of kinetic and Brownian multiparticle and molecular modeling makes it possible to study the mechanisms of regulation of an integral system of electron transport processes in plants and algae at molecular and subcellular levels.