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  1. Article ; Online: Sustainable Development of Enterprises in Conditions of Smart Ecology

    Natalia N. Skiter / Aleksey F. Rogachev / Nataliya V. Ketko / Aleksey B. Simonov / Irina A. Tarasova

    Frontiers in Environmental Science, Vol

    Analysis of The Main Problems and Development of Ways to Solve Them, Based on Artificial Intelligence Methods and Innovative Technologies

    2022  Volume 10

    Abstract: Relevance: Currently, the sustainability and profitability of any company is directly related to its interaction with the environment. In the 20th century it was believed that stable development is impossible, if the company focuses its production on the ...

    Abstract Relevance: Currently, the sustainability and profitability of any company is directly related to its interaction with the environment. In the 20th century it was believed that stable development is impossible, if the company focuses its production on the preservation and protection of the environment. Since the second half of the 20th century, ideas have been increasingly heard that sustainable economic development cannot be achieved at the expense of the predatory depletion of natural resources. The environmental agenda plays an important role in the ESG principles, largely formulated by UN Secretary-General Kofi Annan, reflected in Sustainable Development Goals 12–15, reflected in Resolution 70/1 - Transforming our world: the 2030 Agenda for Sustainable Development. Companies such as Tesla Motors, called “green giants”, have proven by their experience and development dynamics that in today’s environment a business that does not have a negative impact on the environment can be profitable and successful. Thus, modern trends in the development of the world economy determine the relevance of the present study, aimed at studying the new conditions of economic activity by enterprises - the conditions of smart ecology and development of recommendations for the effective transformation of enterprises under these conditions. The purpose of this study is to analyze and identify the main problems of sustainable development of enterprises in terms of preservation and protection of the environment - “smart ecology”, and based on the formulated problems the authors have developed ways to overcome them. The subject of the study are managerial and other relationships arising during the implementation of innovative Smart projects by enterprises.Methods: In the process of analyzing the problems and developing ways to overcome them and the transition of enterprises to the conditions of smart ecology, the authors used methods of system analysis, methods of statistical analysis, methods of artificial intelligence.Results: The ...
    Keywords sustainable development ; smart ecology ; expert systems ; sustainable development issues ; artificial intelligence ; Environmental sciences ; GE1-350
    Subject code 710 ; 330
    Language English
    Publishing date 2022-06-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Yeast Ribonucleotide Reductase Is a Direct Target of the Proteasome and Provides Hyper Resistance to the Carcinogen 4-NQO

    Daria S. Spasskaya / Kirill A. Kulagin / Evgenia N. Grineva / Pamila J. Osipova / Svetlana V. Poddubko / Julia A. Bubis / Elizaveta M. Kazakova / Tomiris T. Kusainova / Vladimir A. Gorshkov / Frank Kjeldsen / Vadim L. Karpov / Irina A. Tarasova / Dmitry S. Karpov

    Journal of Fungi, Vol 9, Iss 351, p

    2023  Volume 351

    Abstract: Various external and internal factors damaging DNA constantly disrupt the stability of the genome. Cells use numerous dedicated DNA repair systems to detect damage and restore genomic integrity in a timely manner. Ribonucleotide reductase (RNR) is a key ... ...

    Abstract Various external and internal factors damaging DNA constantly disrupt the stability of the genome. Cells use numerous dedicated DNA repair systems to detect damage and restore genomic integrity in a timely manner. Ribonucleotide reductase (RNR) is a key enzyme providing dNTPs for DNA repair. Molecular mechanisms of indirect regulation of yeast RNR activity are well understood, whereas little is known about its direct regulation. The study was aimed at elucidation of the proteasome-dependent mechanism of direct regulation of RNR subunits in Saccharomyces cerevisiae . Proteome analysis followed by Western blot, RT-PCR, and yeast plating analysis showed that upregulation of RNR by proteasome deregulation is associated with yeast hyper resistance to 4-nitroquinoline-1-oxide (4-NQO), a UV-mimetic DNA-damaging drug used in animal models to study oncogenesis. Inhibition of RNR or deletion of RNR regulatory proteins reverses the phenotype of yeast hyper resistance to 4-NQO. We have shown for the first time that the yeast Rnr1 subunit is a substrate of the proteasome, which suggests a common mechanism of RNR regulation in yeast and mammals.
    Keywords shotgun proteomics ; 4-NQO ; ribonucleotide reductase ; S. cerevisiae ; proteasome ; Biology (General) ; QH301-705.5
    Subject code 570
    Language English
    Publishing date 2023-03-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Multiomic Profiling Identified EGF Receptor Signaling as a Potential Inhibitor of Type I Interferon Response in Models of Oncolytic Therapy by Vesicular Stomatitis Virus

    Anastasia S. Nikitina / Anastasia V. Lipatova / Anton O. Goncharov / Anna A. Kliuchnikova / Mikhail A. Pyatnitskiy / Ksenia G. Kuznetsova / Azzam Hamad / Pavel O. Vorobyev / Olga N. Alekseeva / Marah Mahmoud / Yasmin Shakiba / Ksenia S. Anufrieva / Georgy P. Arapidi / Mark V. Ivanov / Irina A. Tarasova / Mikhail V. Gorshkov / Peter M. Chumakov / Sergei A. Moshkovskii

    International Journal of Molecular Sciences, Vol 23, Iss 5244, p

    2022  Volume 5244

    Abstract: Cancer cell lines responded differentially to type I interferon treatment in models of oncolytic therapy using vesicular stomatitis virus (VSV). Two opposite cases were considered in this study, glioblastoma DBTRG-05MG and osteosarcoma HOS cell lines ... ...

    Abstract Cancer cell lines responded differentially to type I interferon treatment in models of oncolytic therapy using vesicular stomatitis virus (VSV). Two opposite cases were considered in this study, glioblastoma DBTRG-05MG and osteosarcoma HOS cell lines exhibiting resistance and sensitivity to VSV after the treatment, respectively. Type I interferon responses were compared for these cell lines by integrative analysis of the transcriptome, proteome, and RNA editome to identify molecular factors determining differential effects observed. Adenosine-to-inosine RNA editing was equally induced in both cell lines. However, transcriptome analysis showed that the number of differentially expressed genes was much higher in DBTRG-05MG with a specific enrichment in inflammatory proteins. Further, it was found that two genes, EGFR and HER2, were overexpressed in HOS cells compared with DBTRG-05MG, supporting recent reports that EGF receptor signaling attenuates interferon responses via HER2 co-receptor activity. Accordingly, combined treatment of cells with EGF receptor inhibitors such as gefitinib and type I interferon increases the resistance of sensitive cell lines to VSV. Moreover, sensitive cell lines had increased levels of HER2 protein compared with non-sensitive DBTRG-05MG. Presumably, the level of this protein expression in tumor cells might be a predictive biomarker of their resistance to oncolytic viral therapy.
    Keywords oncolytic virus ; vesicular stomatitis virus ; glioblastoma ; osteosarcoma ; type I interferon ; epidermal growth factor receptor ; Biology (General) ; QH301-705.5 ; Chemistry ; QD1-999
    Language English
    Publishing date 2022-05-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article: IdentiPy: An Extensible Search Engine for Protein Identification in Shotgun Proteomics

    Levitsky, Lev I / Anna A. Lobas / Elizaveta M. Solovyeva / Irina A. Tarasova / Julia A. Bubis / Marina L. Pridatchenko / Mark V. Ivanov / Mikhail V. Gorshkov

    Journal of proteome research. 2018 Apr. 23, v. 17, no. 7

    2018  

    Abstract: We present an open-source, extensible search engine for shotgun proteomics. Implemented in Python programming language, IdentiPy shows competitive processing speed and sensitivity compared with the state-of-the-art search engines. It is equipped with a ... ...

    Abstract We present an open-source, extensible search engine for shotgun proteomics. Implemented in Python programming language, IdentiPy shows competitive processing speed and sensitivity compared with the state-of-the-art search engines. It is equipped with a user-friendly web interface, IdentiPy Server, enabling the use of a single server installation accessed from multiple workstations. Using a simplified version of X!Tandem scoring algorithm and its novel “autotune” feature, IdentiPy outperforms the popular alternatives on high-resolution data sets. Autotune adjusts the search parameters for the particular data set, resulting in improved search efficiency and simplifying the user experience. IdentiPy with the autotune feature shows higher sensitivity compared with the evaluated search engines. IdentiPy Server has built-in postprocessing and protein inference procedures and provides graphic visualization of the statistical properties of the data set and the search results. It is open-source and can be freely extended to use third-party scoring functions or processing algorithms and allows customization of the search workflow for specialized applications.
    Keywords algorithms ; computer software ; data collection ; proteome ; proteomics ; user interface
    Language English
    Dates of publication 2018-0423
    Size p. 2249-2255.
    Publishing place American Chemical Society
    Document type Article
    ZDB-ID 2078618-9
    ISSN 1535-3907 ; 1535-3893
    ISSN (online) 1535-3907
    ISSN 1535-3893
    DOI 10.1021/acs.jproteome.7b00640
    Database NAL-Catalogue (AGRICOLA)

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