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LOGICAL-INFORMATION MODEL OF EVALUATION THE IMPACT OF TARGETED THERAPy DRUGS ON THE BIOLOGICAL ACTIVITy OF CANCER CELLS

https://doi.org/10.32362/2410-6593-2017-12-3-73-80

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Abstract

The paper deals with laboratory preclinical studies of the impact of targeted anticancer drugs on the life of A-549 cell cultures of the cancer origin (lung carcinoma). Preclinical studies enable evaluating the effectiveness of targeted therapy drugs, possible contraindications and side effects in order to determine in future the scope of clinical trials and the possibility of performing them. It is proposed to develop information support of preclinical research. In this work the use of functional modeling technology for building a logic-information model in the category of IDEF0 is considered. For detailed elaboration of the model it is necessary to review step-by-step the whole research process. The necessity of creating the information support is connected to the tasks of structuring, storage and processing large amounts of experimental data.

About the Authors

V. V. Burlyaev
Moscow Technological University (Institute of Fine Chemical Technologies)
Russian Federation
Moscow 119571, Russia


А. Davydenko
Moscow Technological University (Institute of Fine Chemical Technologies)
Russian Federation
Moscow 119571, Russia


V. F. Kornyushko
Moscow Technological University (Institute of Fine Chemical Technologies)
Russian Federation
Moscow 119571, Russia


L. I. Russu
N.F. Gamaleya Federal Research Center of Epidemiology and Microbiology of the Ministry of Health of the Russian Federation
Russian Federation
Moscow 123098, Russia


M. Mezentseva
N.F. Gamaleya Federal Research Center of Epidemiology and Microbiology of the Ministry of Health of the Russian Federation
Russian Federation
Moscow 123098, Russia


References

1. Burlyaeva E.V., Kolybanov K.Yu., Panova S.A. Informational support of decision-making systems at industrial enterprises of the chemical profile. M.: MITHT Publ., 2013. 196 p. (in Russ.).

2. Laroix M. Targeted Therapies in Cancer. NY: Nova Science Publishers, 2014.

3. Bryuzgin V.V., Platinskiy L.V. The role of cytokines in the chemotherapy of malignant tumors: the practice of the use of cytokine drugs Refnot and Inharon in widespread tumor processes with multiple metastases // Sovremennaya onkologiya (Modern Oncology). 2014. V. 16. № 11. P. 2–7. (in Russ.).

4. Guidelines for pre-clinical trials of medicinal products. Part One / ed. A.N. Mironov. M.: Grif and K, 2012. 944 p. (in Russ.).

5. Burlyaevа E.V., Mironova N.A. Functional modeling production of the new third-generation photosensitizer for photodynamic therapy of cancer // Vestnik MITHT (Fine Chemical Technologies). 2013. V. 8. № 2. P. 95–100. (in Russ.).

6. Kharbiev R.U. Manual on experimental (preclinical) study of new pharmacological substances. M.: Meditsina Publ., 2005. 832 p. (in Russ.).

7. Chomezynski P., Sacchi N. Single-step method of RNA isolation by acid guanidinum thyocyoanatephenol-chloroform extraction // Analyt. Biochem. 1987. V. 162. P. 156–159.

8. Gelder C.M., Thomas P.S., Yates D.H., Adcock I.M., Morrison J.F.J., Barnes P. Cytokine expression in normal, atopic and asthmatic subject using the combination of sputum induction and the polymerase chain reaction // Thorax. 1995. V. 50. P. 1033–1037.

9. Burlyaev V.V., Davydenko A.A. Inductive inference at the information system for predicting an antitumor effect of targeted immunotherapy agents// Informatsionnye i telekommunikatsionnye tekhnologii (Information and Telecommunication Technologies). 2016. № 29. P. 3–8. (in Russ.).

10. Burlyaev V.V., Davydenko A.A., Nikolaeva O.M., Russu L.I., Mezentseva M.V. Prognostic model antitumor effect of targeted therapies immunotherapies // Tonkie khimicheskie tekhnologii (Fine Chemical Technologies). 2016. № 4. P. 69–74. (in Russ.).


For citation:


Burlyaev V.V., Davydenko А., Kornyushko V.F., Russu L.I., Mezentseva M. LOGICAL-INFORMATION MODEL OF EVALUATION THE IMPACT OF TARGETED THERAPy DRUGS ON THE BIOLOGICAL ACTIVITy OF CANCER CELLS. Fine Chemical Technologies. 2017;12(3):73-80. (In Russ.) https://doi.org/10.32362/2410-6593-2017-12-3-73-80

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ISSN 2410-6593 (Print)
ISSN 2686-7575 (Online)