Pharmacoinformation studies of chondroprotectors

The pharmacoinformation approach to the assessment and modeling of drugs involves the use of modern methods of data mining. These methods include: 1) analysis of big data (selection of texts of scientific publications, search for new biomarkers); 2) computer analysis of texts (automatic classification of texts by content, identification of pseudoscientific texts); 3) analysis of metric maps (visualization and analysis of complex patterns, including clustering) and 4) chemoinformation analysis, including the assessment of the effect of drugs on the transcriptome, proteome and microbiome of a person. The article provides examples of the application of these methods of pharmacoinformatics to chondroprotectors containing standardized forms of chondroitin sulfate and glucosamine sulfate.

1. Zhuravlev YuI, Rudakov KV, Torshin IYu. Algebraic criteria of local solvability and regularity as a tool for studying the morphology of amino acid sequences. Trudy Moskovskogo fiziko-tekhnicheskogo instituta. 2011;3(4): 45-54. (In Russ.).

2. Torshin IYu., Rudakov KV. On the theoretical basis of the metric analysis of poorly formalized problems of recognition and classification. Pattern Recognition and Image Analysis (Advances in Mathematical Theory and Applications). 2015;25(4):577-87.

3. Torshin IYu, Rudakov KV. On the Procedures of Generation of Numerical Features Over Partitions of Sets of Objects in the Problem of Predicting Numerical Target Variables. Pattern Recognition and Image Analysis. 2019;29(4): 654-67.

4. Torshin IYu, Rudakov KV. On the Application of the Combinatorial Theory of Solvability to the Analysis of Chemographs. Part 1: Fundamentals of Modern Chemical Bonding Theory and the Concept of the Chemograph. Pattern Recognition and Image Analysis. 2014;24(1):11-23.

5. Torshin IYu, Rudakov KV. On metric spaces arising during formalization of recognition and classification problems. Part 1: Properties of compactness. Pattern Recognition and Image Analysis. 2016;26:274-84.

6. Torshin IYu. The study of the solvability of the genome annotation problem on sets of elementary motifs. Pattern Recognition and Image Analysis. 2011;21:652-62

7. Torshin IYu, Rudakov KV. Combinatorial analysis of the solvability properties of the problems of recognition and completeness of algorithmic models. part 1: factorization approach. Pattern Recognition and Image Analysis. 2017;27(1):16-28.

8. Torshin IYu. Optimal dictionaries of the final information on the basis of the solvability criterion and their applications in bioinformatics. Pattern Recognition and Image Analysis.2013;23(319-27).

9. Torshin, I.Y., Rudakov, K.V. On metric spaces arising during formalization of problems of recognition and classification. Part 2: Density properties. Pattern Recognition and Image Analysis. 2016;26:483-96.

10. Torshin IYu, Gromova OA, Kobalava ZhD. On the errors of meta-analyses of the cardiovascular effects of omega-3 PUFA. Part 2. Data mining and meta-analysis of clinically homogeneous studies. Effektivnaya farmakoterapiya. 2019;15(1):36-43. (In Russ.).

11. Torshin IYu, Lila AM, Naumov AV, et al. Meta-analysis of clinical studies on the effectiveness of treatment of osteoarthritis with Chondrogard. Sovremennaya Farmakoekonomika i Farmakoepidemiologiya. 2020;13(4): 18-29. (In Russ.).

12. Gromova OA, Torshin IYu, Lila AM, et al. Standardised Forms of Chondroitin Sulfate as a Pathogenetic Treatment of Osteoarthritis in the Context of Post-Genomic Studies. Sovremennaya revmatologiya = Modern Rheumatology Journal. 2021;15(1):136-43. (In Russ.). doi:10.14412/1996-7012-2021-1-136-143

13. Torshin IYu, Lila AM, Naumov AV, et al. Prospects of personification of prevention and therapy of osteoarthritis based on the analysis of comorbid background, genetic polymorphisms and trace element status. Sovremennaya farmakoekonomika i farmakoepidemiologiya. 2021;14(1):28-39. (In Russ.).

14. Gromova OA, Torshin IYu, Lila AM, et al. Differential chemoreactome analysis of glucosamine sulfate and non-steroidal antiinflammatory drugs: promising synergistic drug combinations. Sovremennaya revmatologiya = Modern Rheumatology Journal. 2018;12(2): 36-43. (In Russ.). doi:10.14412/1996-7012-2018-2-36-43

15. Gromova OA, Torshin IYu, Lila AM, et al. Chemoreactome analysis of the antithrombotic effects of glucosamine sulfate and nonsteroidal anti-inflammatory drugs. Sovremennaya revmatologiya = Modern Rheumatology Journal.2019;13(1):129-34. (In Russ.). doi: 10.14412/1996-7012-2019-1-129-134

16. Torshin IYu, Gromova OA, Naumov AV, Lila AM. Chemo transcriptomic analysis of the glucosamine sulfate molecule in the context of postgenomic pharmacology. Russkii meditsinskii zhurnal. 2019;1(1):2-9. (In Russ.).

17. Torshin IYu, Gromova OA, Lila AM, et al. The results of postgenomic analysis of a glucosamine sulfate molecule indicate the prospects of treatment for comorbidities. Sovremennaya revmatologiya = Modern Rheumatology Journal. 2018;12(4):129-36. (In Russ.). doi: 10.14412/1996-7012-2018-4-129-136

18. Torshin IYu, Gromova OA, Lila AM, et al. Targeted effect of glucosamine sulfate in the combination of osteoarthritis and tumor pathology. Russkii meditsinskii zhurnal. 2019; (6):23-30. (In Russ.).

19. Gromova OA, Torshin IYu, Naumov AV, Maksimov VA. Chemomicrobiomic analysis of glucosamine sulfate, prebiotics and nonsteroidal anti-inflammatory drugs. Sovremennaya farmakoekonomika i farmakoepidemiologiya.2020;13(3):270-82. (In Russ.).

20. Gromova OA, Torshin IYu, Zaichik BTs, et al. About the differences in the standardization of medicines based on extracts of chondroitin sulfate. Sovremennaya farmakoekonomika i farmakoepidemiologiya. 2021;14(1):40-52. (In Russ.).

21. Torshin IYu, Lila AM, Limanova OA, Gromova OA. Prospects for the use of chondroitin sulfate and glucosamine sulfate in osteoarthritis in combination with kidney and urinary system pathology. Sovremennaya Farmakoekonomika i Farmakoepidemiologiya. 2020;13(1):23-34. (In Russ.).

22. Gromova OA, Torshin IYu, Semenov VA, et al. On the neurological roles of chondroitin sulfate and glucosamine sulfate: a systematic analysis. Nevrologiya, neiropsikhiatriya, psikhosomatika = Neurology, Neuropsychiatry, Psychosomatics. 2019;11(3):137-43. (In Russ.). doi: 10.14412/2074-2711-2019-3-137-143

23. Gromova OA, Torshin IYu, Lila AM, et al. Systematic analysis of studies of antitumor effects of chondroprotectors glucosamine sulfate and chondroitin sulfate. Russkii meditsinskii zhurnal. 2019;(4):4-10. (In Russ.).

24. Torshin IYu, Lila AM, Gromova OA, et al. On the anticoagulant and antiaggregatory properties of a glucosamine sulfate molecule. Sovremennaya revmatologiya = Modern Rheumatology Journal. 2019;13(3):135-41. (In Russ.). doi: 10/14412/1996-7012-2019-3-135-141

25. Torshin IYu, Lila AM, Gromova OA. Anticoagulant and antiplatelet effects of chondroitin sulfate. Russkii meditsinskii zhurnal. 2020;(7):44-8. (In Russ.).

26. Gromova OA, Torshin IYu, Lila AM, Gromov AN. Molecular mechanisms of action of glucosamine sulfate in the treatment of degenerative-dystrophic diseases of the joints and spine: results of proteomic analysis. Nevrologiya, neiropsikhiatriya, psikhosomatika = Neurology, Neuropsychiatry, Psychosomatics. 2018;10(2):38-44 (In Russ.). doi:10.14412/2074-2711-2018-2-38-44

27. Gromova OA, Torshin IYu, Lila AM, et al. Molecular mechanisms of myoprotective action of chondroitin sulfate and glucosamine sulfate in sarcopenia. Nevrologiya, neiropsikhiatriya, psikhosomatika = Neurology, Neuropsychiatry, Psychosomatics. 2019;11(1):117-24. (In Russ.). doi: 10.14412/2074-2711-2019-1-117-124

28. Gromova OA, Torshin IYu, Lila AM, et al. About the safety of the use of glucosamine sulfate in patients with insulin resistance. Consilium medicum. 2019;21(4):2-30. (In Russ.).

29. Lila AM, Gromova OA, Torshin IYu, et al. Molecular effects of chondroguard in osteoarthritis and herniated discs. Nevrologiya, neiropsikhiatriya, psikhosomatika = Neurology, Neuropsychiatry, Psychosomatics. 2017;9(3): 88-97. (In Russ.). doi: 10.14412/2074-2711-2017-3-88-97

30. Lila AM, Torshin IYu, Gromova OA. Is it worth rethinking the positive experience of using chondroitin sulfates for atherosclerosis obtained half a century ago? Sovremennaya farmakoekonomika i farmakoepidemiologiya. 2020;13(2):184-91. (In Russ.).

31. Torshin IYu, Gromova OA, Nechaeva GI, et al. Systematic analysis of molecular biological mechanisms for supporting connective tissue metabolism with chondroitin sulfate. Nevrologiya, neiropsikhiatriya, psikhosomatika = Neurology, Neuropsychiatry, Psychosomatics. 2021;13(1):154-62. (In Russ.). doi: 10.14412/2074-2711-2021-1-154-162