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 Найдено в других БД:Каталог книг и продолжающихся изданий (34)Сводный каталог иностранных периодических изданий, имеющихся в библиотеках УрО РАН (3)Каталог препринтов УрО РАН (1975 г. - ) (1)Труды Института высокотемпературной электрохимии УрО РАН (1)Труды сотрудников Института органического синтеза УрО РАН (3)Труды сотрудников Института теплофизики УрО РАН (2)Труды сотрудников Института химии твердого тела УрО РАН (16)Расплавы (7)Каталог библиотеки ИЭРиЖ УрО РАН (27)
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1.

Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : Shinwari K., Wu Y., Rehman H., Xiao N., Bolkov M., Tuzankina I., Chereshnev V.
Заглавие : In-silico assessment of high-risk non-synonymous SNPs in ADAMTS3 gene associated with Hennekam syndrome and their impact on protein stability and function
Место публикации : BMC Bioinformatics. - 2023. - Vol. 24. - Ст.251
Предметные рубрики: ЗДРАВООХРАНЕНИЕ. МЕДИЦИНСКИЕ НАУКИ
Аннотация: Hennekam Lymphangiectasia–Lymphedema Syndrome 3 (HKLLS3) is a rare genetical disorder caused by mutations in a few genes including ADAMTS3. It is characterized by lymphatic dysplasia, intestinal lymphangiectasia, severe lymphedema and distinctive facial appearance. Up till now, no extensive studies have been conducted to elucidate the mechanism of the disease caused by various mutations. As a preliminary investigation of HKLLS3, we sorted out the most deleterious nonsynonymous single nucleotide polymorphisms (nsSNPs) that might affect the structure and function of ADAMTS3 protein by using a variety of in silico tools. A total of 919 nsSNPs in the ADAMTS3 gene were identified. 50 nsSNPs were predicted to be deleterious by multiple computational tools. 5 nsSNPs (G298R, C567Y, A370T, C567R and G374S) were found to be the most dangerous and can be associated with the disease as predicted by different bioinformatics tools. Modelling of the protein shows it can be divided into segments 1, 2 and 3, which are connected by short loops. Segment 3 mainly consists of loops without substantial secondary structures. With prediction tools and molecular dynamics simulation, some SNPs were found to significantly destabilize the protein structure and disrupt the secondary structures, especially in segment 2. The deleterious effects of mutations in segment 1 are possibly not from destabilization but from other factors such as the change in phosphorylation as suggested by post-translational modification (PTM) studies. This is the first-ever study of ADAMTS3 gene polymorphism, and the predicted nsSNPs in ADAMST3, some of which have not been reported yet in patients, will serve for diagnostic purposes and further therapeutic implications in Hennekam syndrome, contributing to better diagnosis and treatment.
https://link.springer.com/article/10.1186/s12859-023-05361-6
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2.

Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : Savinkov R., Grebennikov D., Puchkova D., Chereshnev V., Sazonov I., Bocharov G.
Заглавие : Graph theory for modelling and analysis of the human lymphatic system
Место публикации : Mathematics. - 2020. - Vol. 8. - Ст.2236. - С. 18 p.
Предметные рубрики: ЗДРАВООХРАНЕНИЕ. МЕДИЦИНСКИЕ НАУКИ
Ключевые слова (''Своб.индексиров.''): иммунология--система лимфатическая--моделирование математическое
Аннотация: The human lymphatic system (HLS) is a complex network of lymphatic organs linked
\\\\Expert2\\NBO\\Электрон. библиотека (Отеч.периодика)\\Черешнев В. А\\Mathematics 2020, 8, 2236.pdf
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3.

Вид документа : Статья из журнала
Шифр издания : 61/A 53
Автор(ы) : Bocharov G., Kim A. V., Krasovskii A., Chereshnev V. A., Glushenkova V., Ivanov A.
Заглавие : An extremal shift method for control of HIV infection dynamics
Место публикации : Russian Journal of Numerical Analysis and Mathematical Modelling . - 2015. - Vol. 30, № 1. - С. 11-25
ББК : 61
Предметные рубрики: ЗДРАВООХРАНЕНИЕ. МЕДИЦИНСКИЕ НАУКИ
Ключевые слова (''Своб.индексиров.''): hiv infection--optimal open-loop control--extremal shift method
Аннотация: Optimal control problems for mathematical models describing HIV infection dynamics in a human body are considered in the paper. An overview of current approaches to solution of control problems for models of HIV dynamics is presented for techniques related to construction of optimal programme (open loop) or positional (feedback) controls for various criteria of control process quality and is based on the Pontryagin's maximum principle and the Bellman's theory of dynamic programming, respectively. In the framework of the theory of positional differential games of Krasovskii, there are constructive and efficient methods of synthesis of controls for different classes of dynamical systems. In this paper we present a formalization of a control problem for HIV infection considered as a corresponding positional differential game. The control algorithm based on the method of extremal shift is applied to the ODEs model of HIV infection. The numerical implementation of the extremal shift method is developed to construct the control taking the system to a neighbourhood of a given trajectory using the information on the dynamics of the guides or leaders.
\\\\expert2\\nbo\\Russian Journal of Numerical Anal. and Math. Modelling\\2015. V.30, N. 1. P. 11-30.pdf
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4.

Вид документа : Статья из журнала
Шифр издания : 61/M 39
Автор(ы) : Bocharov G. A., Telatnikov I. S., Chereshnev V. A., Martinez Javier, Meyerhans Andreas
Заглавие : Mathematical modelling of the within-host HIV quasispecies dynamics in response to antiviral treatment
Место публикации : Russian Journal of Numerical Analysis and Mathematical Modelling. - 2015. - Vol. 30, № 3. - С. 157-170: il.
Примечания : Bibliogr. : p. 169-170 (29 ref.)
ББК : 61
Предметные рубрики: ЗДРАВООХРАНЕНИЕ. МЕДИЦИНСКИЕ НАУКИ
Ключевые слова (''Своб.индексиров.''): mathematical model --human immunodeficiency virus--genetic algorithm--quasispecies--virus infection
Аннотация: The aim of this work is the construction, calibration, and comparative analysis of mathematical models of the evolution of the human immunodeficiency virus (HIV) in the course of infection when the models are based on deterministic principles of the quasispecies theory (Eigen-Schuster) and on stochastic approaches of genetic algorithms (Holland). The models take into account the replication of viral genomes and selection of descendants according to their fitness, point mutations, multi-infection of target cells and recombination of genomes at the stage of formation of proviral DNA. The processes of diversification of the virus population under the action of the antiviral drug azidothymidine (AZT) that blocks reverse transcription of the virus are simulated. A four-letter alphabet is used in the stochasticmodel for description of nucleotide sequences. The parameters of the model are estimated using original data on the degree of adaptation of the HIV mutants that are partly or completely resistant to this drug. The influence of parameters of infection on the characteristics of viral mutants population diversity is studied
\\\\expert2\\nbo\\Russian Journal of Numerical Anal. and Math. Modelling\\2015. V.30, N. 3. P. 157-170.pdf
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5.

Вид документа : Статья из журнала
Шифр издания : 61/H 91
Автор(ы) : Bocharov G., Chereshnev V. A., Gainova I. C., Bazhan S., Bachmetyev B.
Заглавие : Human immunodeficiency virus infection: From biological observations to mechanistic mathematical modelling
Место публикации : Mathematical modelling of natural phenomena. - 2012. - Vol. 7, № 5. - С. 78-104
Примечания : Bibliogr. : p. 93-104 (275 ref.)
ББК : 61
Предметные рубрики: ЗДРАВООХРАНЕНИЕ. МЕДИЦИНСКИЕ НАУКИ
Ключевые слова (''Своб.индексиров.''): host-pathogen interaction--immune system--human immunodeficiency
Аннотация: HIV infection is multi-faceted and a multi-step process. The virus-induced pathogenic mechanisms are manifold and mediated through a range of positive and negative feedback regulations of immune and physiological processes engaged in virus-host interactions. The fundamental questions towards understanding the pathogenesis of HIV infection are now shifting to 'dynamic' categories: (i) why is the HIV-immune response equilibrium finally disrupted? (ii) can one modify the dynamic equilibrium for host benefit? (iii) can one predict the outcome of a system perturbation via antiviral drugs or drugs modulating the host immune response dynamics? Answering these questions requires a major interdisciplinary effort, and in particular, the development of novel mathematical approaches for a coherent quantitative description and prediction of intra-patient HIV evolution, the immunological responses to HIV infection, and the systems level homeostatic regulation of specific effector and regulatory lymphocyte populations in correlation with disease status. Here we summarized fundamental biological features of HIV infection and current mathematical modelling attempts to understand HIV pathogenesis
\\\\expert2\\NBO\\Mathematical Modelling and Natural Phenomena\\2012. V. 7, N 5. P. 78-104.pdf
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6.

Вид документа :
Шифр издания : Ч2/R 30
Автор(ы) : Bocharov G., Danilov A., Vassilevski Y., Marchuk G. I., Chereshnev V. A.
Заглавие : Reaction diffusion modelling of interferon distribution in secondary lymphoid organs
Место публикации : Mathematical modelling of natural phenomena. - 2011. - Vol. 6, № 7. - С. 13-26
ББК : Ч2
Предметные рубрики: НАУКА. НАУКОВЕДЕНИЕ
Ключевые слова (''Своб.индексиров.''): systems--recirculation--lymphocytes
Аннотация: This paper proposes a quantitative model of the reaction-diffusion type to examine the distribution of interferon-alpha (IFN alpha) in a lymph node (LN). The numerical treatment of the model is based on using an original unstructured mesh generation software Ani3D and nonlinear finite volume method for diffusion equations. The study results in suggestion that due to the variations in hydraulic conductivity of various zones of the secondary lymphoid organs the spatial stationary distribution of IFN alpha is essentially heterogeneous across the organs. Highly protected domains such as sinuses, conduits, co-exist with the regions in which where the stationary concentration of IFN alpha is lower by about 100-fold. This is the first study where the spatial distribution of soluble immune factors in secondary lymphoid organs is modelled for a realistic three-dimensional geometry
\\\\expert2\\nbo\\Mathematical Modelling and Natural Phenomena\\2011. Vol.6, №7. С. 13-26.pdf
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7.

Вид документа : Статья из журнала
Шифр издания : 57/М 54
Автор(ы) : Черешнев В. А., Мазуров В. Д., Юрченко Л. Н., Гусев Е. Ю., Ким А. В.
Заглавие : Метод распознавания образов в медицине
Место публикации : Russian Journal of Numerical Analysis and Mathematical Modelling. - 2004. - Vol. 19, № 4. - С. 281-292
Примечания : Библиогр.: с. 292 (6 назв.)
ББК : 57
Предметные рубрики: ЗДРАВООХРАНЕНИЕ. МЕДИЦИНСКИЕ НАУКИ
Ключевые слова (''Своб.индексиров.''): bayes method--learning diagnostics--neurons
Аннотация: In this paper we consider models of learning diagnostics by precedents using pattern recognition methods and adjustment of layered neural nets. We show that in this case the problem reduces to the construction of committee constructions generalizing the notion of the solution to the system of linear inequalities. The methods proposed are justified. These methods are applied to the problems of medical diagnostics and for modelling empirical regularities
\\\\expert2\\NBO\\Russian Journal of Numerical Anal. and Math. Modelling\\2004. V. 19, N. 4. P. 281-292.pdf
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8.

Вид документа : Статья из журнала
Шифр издания : 57/M 39
Автор(ы) : Novoselov A. V., Lozhnikov A. B., Chereshnev V. A., Sergeev A. G., Kim A. V., Gusev E. Tu., Pimenov V. G.
Заглавие : Mathematical modelling of mutant accumulation kinetics in a cloned viral population
Место публикации : Russian Journal of Numerical Analysis and Mathematical Modelling. - 2004. - Vol. 19, № 4. - С. 293-304
Примечания : Bibliogr. : p. 304 (18 ref.)
ББК : 57
Предметные рубрики: БИОЛОГИЧЕСКИЕ НАУКИ
Ключевые слова (''Своб.индексиров.''): cells --linear equations--mathematical models
Аннотация: The aim of this paper was to construct the mathematical model of the kinetics of non-hemagglutinating mutant accumulation in the cloned population of hemagglutinating echovirus 11 and to verify the model adequacy by comparing the results of biological and numerical experiments
\\\\expert2\\NBO\\Russian Journal of Numerical Anal. and Math. Modelling\\2004. V. 19, N. 4. P. 293-304.pdf
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9.

Вид документа : Статья из журнала
Шифр издания : 57/P 32
Автор(ы) : Chereshnev V. A., Mazurov V. D., Yurchenko L. N., Gusev E. Yu., Kim A. V.
Заглавие : Pattern recognition method in medicine
Место публикации : Russian Journal of Numerical Analysis and Mathematical Modelling. - 2004. - Vol.19, № 4. - С. 281-292
Примечания : Bibliogr. : p. 292 (6 ref.)
ББК : 57
Предметные рубрики: ЗДРАВООХРАНЕНИЕ. МЕДИЦИНСКИЕ НАУКИ
Ключевые слова (''Своб.индексиров.''): bayes method--learning diagnostics--neurons
Аннотация: In this paper we consider models of learning diagnostics by precedents using pattern recognition methods and adjustment of layered neural nets. We show that in this case the problem reduces to the construction of committee constructions generalizing the notion of the solution to the system of linear inequalities. The methods proposed are justified. These methods are applied to the problems of medical diagnostics and for modelling empirical regularities
\\\\expert2\\NBO\\Russian Journal of Numerical Anal. and Math. Modelling\\2004. V. 19, N. 4. P. 281-292.pdf
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