Identification and modelling of the connection between the taxonomic position and traditional medical applications of plant species in prophylaxis and treatment of virus diseases
Автор: Popov P.L., Cherkashin A.K.
Журнал: Журнал стресс-физиологии и биохимии @jspb
Статья в выпуске: 2 т.20, 2024 года.
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A study is made of the distribution of 674 species of flowering plants in the phylogenetic system according to the specific applications of their active materials in traditional medicine in the prophylaxis or treatment of 21 virus diseases of humans and animals. The analysis revealed statistically reliable connections between the particular applications and the taxonomic position of plant species at the level of a family or a subclass, and connections between virus diseases according to the similarity of the sets of plant species that were used in their prophylaxis or treatment. We suggest the model correlating the taxonomic position with medical applications of plant species. We identified 62 plant species holding the greatest promise as regards the detection, further investigation and antiviral activity. These virus diseases at study are divided into 7 groups such as smallpox, rabies, respiratory infection, jaundice, warts, measles and others. Class Magnoliopsida is superior to class Liliopsida in occurrence of species used in various viral infections. The proportion of these species is most large in evolutionarily later subclasses out of class Magnoliopsida . The families from division Magnoliophyta have reliably increased occurrence of species used at least against one group of diseases such as Ranunculaceae (measles, smallpox), Fumariaceae (jaundice), Euphorbiaceae (rabies, warts), Tamaricaceae (jaundice), Malvaceae (respiratory infection), Dipsacaceae (respiratory infection), Sambucacea (rabies), Viburnaceae (respiratory infection), Trapaceae (rabies), Gentianaceae (rabies, jaundice), Solanaceae (respiratory infection, jaundice, rabies), Cuscutaceae (rabies), Lamiaceae (respiratory infection), Asteraceae (jaundice), Alismataceae (rabies). Closely related families are often similar on sets of infections in which species of these families are applied. Viral diseases are reliably interconnected with similarity of sets of plant species used in the prophylaxis or treatment. Particularly strong connections are "respiratory infections-jaundice", "respiratory infections-rabies", "measles-smallpox". The 62 plant species are recognized as the most promising for discovery, further study and use of their antiviral activity accounting established relations "family - disease" and "disease - disease ". The taxonomic status of plant species is associated with their medical applications using mathematical model. The model is constructed as the equations of the theory of reliability (effectiveness). It describes the changing the frequency of the usage of plant species along the parameter of level of evolutionary development of taxons on rank of subclass. The data on the frequency of application demonstrate good correlation with calculated values (R2 = 0.91) what allows to use the equations for forecasting and valuation.
Traditional medical applications of plants, prophylaxis and treatment of virus diseases, mathematical modeling, connection of plant taxa with infections
Короткий адрес: https://sciup.org/143182791
IDR: 143182791
Список литературы Identification and modelling of the connection between the taxonomic position and traditional medical applications of plant species in prophylaxis and treatment of virus diseases
- Andersen P., Gill R. (1982). Cox's regression model for counting processes: a large sample study. Annals of Statistics. 10, 1100-1120.
- Bland M. (2000). An introduction to Medical Statistics (3rd ed.). Oxford: Oxford Medical Publications. 410 P.
- Calder W.A. (1984). Size, Function and Life History. Harvard: Harvard Univ. Press, 431 P.
- Callister W.D. (2007). Materials Science and Engineering. An Introduction. New York.: John Wiley & Sons.
- Chesher A. (1979). Testing the Law of Proportionate Effect. The Journal of Industrial Economics. V. 27. 4. 403-411.
- Han J., Kamber M. (2006). Data Mining: Concepts and Techniques. Second Edition. San Francisco: Morgan Kaufmann Publishers. 743 P.
- Hosmer D.W., Lemeshow S., May S. (2008). Applied Survival Analysis: Regression Modeling of Time-to-Event Data (2nd ed.). New York: John Wiley & Sons, 392 P
- H0yland A., Rausand M. (2009). System Reliability Theory: Models and Statistical Methods. Hoboken, New Jersey:John Willey & Sons Inc.
- Jassim S.A.A., Naji M.A., (2003). Novel antiviral agents: a medicinal plant perspective. Journal of Applied Microbiology. 95, 412-427.
- Mina M.V., Klevezal G.A. (1976). Rost zhivotnyh. Moscow: Nauka,. 291 P. [in Russian].
- Nantasenamat C., Isarankura-Na-Ayudhya C., Naenna T., Prachayasittikul V. (2009). A practical overview of quantitative structure-activity relationship. EXCLI Journal, 8, 74-88.
- Palm V.A. (1967). Osnovy kolichestvennoy teorii organicheskih reaktsiy. Moscow. Himiya, 355 P. [in Russian].
- Palm V.A. (1977). Osnovy kolichestvennoy teorii organicheskih reaktsiy (2nd ed.). Moscow: Himiya, 360 P. [in Russian].
- Popov P.L. (2008). Plant Species, Using Against Virous Infections Of Man And Animals: Regularities Of The Distribution In The Phylogenetic Classification System. Journal of Stress Physiology & Biochemistry. 4(3). 17-64 [in Russian].
- Popov P.L., Botvinkin A.D. (2008). Analiz svedeniy o rasteniyah, primeniavshihsia dlia profilaktiki i lecheniya beshenstva. Sibirskii Meditsinskii Zhurnal. 3, 91-95 [in Russian].
- Pushpa R, Nishant R., Navin K., Pankaj G. (2013). Antiviral potential of medicinal plants: an overview. Int. Res. Journal of Pharmacy. 4, 8-16.
- Santarelli E., Klomp L., Thurik A.R. (2006). Gibrat's law: an overview of the empirical literature. International Studies in Entrepreneurship. 12. 41-73.
- Sokolov P.D., Ed. (1984 - 1993). Rastitelnye resursy SSSR vols. 1-7, Leningrad: Nauka. [in Russian]. 1984. -Vl.1. - 461 P. - 1986. - V.2.- 336 P.- 1987. -Vl. 3.- 328 P.- 1988. -V.4. - 359 p.- 1990.-V.5. -328 P.- 1991. -V.6 - 200 p.- 1993 -V.7.- 351 P. [in Russian]
- Sokolov P.D., Ed. (1994). Rastitelnye resursy Rossii i sopredelnyh gosudarstv. vol. 8, Sankt-Peterburg: Nauka. 272 p. [in Russian].
- Takhtadzhyan A. (1987). Sistema magnoloifitov. Leningrad: Nauka, 440 P. [in Russian].
- Vanden Berghe D.A., Vlietinck A.J.,Van Hoof L. (1986).
- Plant products as potential antiviral agents. Bulletin de l'Institut Pasteur. 84, 101-147.p
- Walsh C.E. (2003). Monetary Theory and Policy (3rd ed.). Cambridge: MIT Press, 613 P.
- Witten I.H., Frank E., Hall M.A. (2011). Data Mining: Practical Machine Learning Tools and Techniques. 3rd Edition. San Francisco: Morgan Kaufmann Publishers, 664 p