The uncertainty principle in biology and medicine


Cite item

Full Text

Open Access Open Access
Restricted Access Access granted
Restricted Access Subscription or Fee Access

Abstract

Drugs based on biomacromolecules have emerged in recent decades. The macromolecules differ from small molecules in their effect on the body. Cytokines, including interferons and chemokines, as well as enzymes, glucans, and antibodies, have been established to have multiple binding sites on the same macromolecule with appropriate complementary structures in biological systems. The properties of cytokine pleiotropy and redundancy, which are determined by the nature of cytokine networks, determine different functional effects, i.e. cytokines can have more than one effect on the same cell. The same pattern has been found when studying the effects of interferons. There is ample evidence that the presence of several protein allosteric sites motivates the design of allosteric modulators of protein activity with their potentially higher specificity and lower toxicity than conventional orthosteric compounds. That is to say that any macromolecule has a potential probabilistic set of mechanisms of action. The use of macromolecules as drugs can trigger one or another specific mechanism of their action from the many potentially existing ones. Because of this, high-molecular-weight drugs, unlike low-molecular-weight pharmaceutical compounds, should have apparently their own characteristics when passing through regulatory organs.

Full Text

Restricted Access

About the authors

Vladimir Georgievich Nesterenko

N.F. Gamaleya Federal Research Center for Epidemiology and Microbiology

Email: vgnest49@gmail.com
Head Department of Immunology

References

  1. Roy A. Biologic medicines: the biggest driver of rising drug prices. Commentary from Forbes' Policy Editor. Forbes. Mar 8, 2019. [Electronic resource]. Access mode: https://www.forbes.com/sites/theapothe-cary/2019/03/08/biologic-medicines-the-biggest-driver-of-rising-drug-prices/#68802fb18b00 (circulation date 25.08.2020)
  2. Medicine use and spending in the U.S. A review of 2017 and Outlook to 2022. The IQVIA Institute Report. Apr 19, 2018. [Electronic resource]. Access mode: https://www.iqvia.com/insights/the-iqvia-insti-tute/reports/medicine-use-and-spending-in-the-us-review-of-2017-out-look-to-2022 (circulation date 25.08.2020)
  3. Wang H. Small vs Big: Understanding the Differences between Small Molecule Drugs and Biologic Drugs. IMMpress Magazine. August 19, 2019. [Electronic resource]. Access mode: https://www.immpressmaga-zine.com/small-vs-big-understanding-the-differences-between-small-molecule-drugs-and-biologic-drugs/ (circulation date 25.08.2020)
  4. Zhao J., Nussinov R., Ma B. Antigen binding allosterically promotes Fc receptor recognition. MABS. 2019; 11 (1): 58-74.
  5. Jay J.W., Bray B., Yaozhi Qi.Y. et al. IgG Antibody 3D Structures and Dynamics. Antibodies. 2018; 7: 18.
  6. Yang D., Kroe-Barrett R., Sing S. et al. IgG cooperativity - Is there allostery? Implications for antibody functions and therapeutic antibody. MABS. 2017; 9 (8): 1231-52.
  7. Zhang X., Zhang L., Tong H. et al. 3D structural fluctuation of IgG1 antibody revealed by individual particle electron tomography. Sci. Rep.-UK. 2015; 5: 9803.
  8. Wang T.T., Ravetch J.V. Functional diversification of IgGs through Fc glycosylation. J. Clin. Invest. 2019; 129 (9): 3492-8.
  9. Kiyoshi M., Tsumoto K., Ishi-Watabe A., Caaveiro J.M.M. Glycosilation of IgG-Fc: a molecular perspective. Int. Immunol. 2017; 29 (7): 311-7.
  10. Buck P.M., Kumar S., Singh S.K. Consequences of glycan truncation on Fc structural integrity. MABS. 2013; 5 (6): 904-16.
  11. Nesspor T.C., Raju T.S., Chin C.N. et al. Avidity confers FcyR binding and immune effector function to aglycosylated immunoglobulin G1. J. Mol. Recognit. 2012; 25 (3): 147-54.
  12. Morel P.A., Lee R.E.C., Faeder J.R. Demistifying the cytokine network: Mathematical models point the way. Cytokine. 2017; 98: 115-23.
  13. Moraga I., Spangler J., Mendoza J.L., Garcia K.Ch. Multifarious Determinants of Cytokine Receptor Signaling Specificity. Adv. Immunol. 2014; 121: 1-39. doi: 10.1016/B978-0-12-800100-4-00001-5
  14. Vachelli E., Galuzzi L., Eggermont A. et al. Trial Watch. Immunostimulatory Cytokines. Oncoimmunology. 2012; 1 (4): 493-506.
  15. Lee A.J., Ashkar A.A. The Dual Nature of Type I and Type II Interferons. Review. Frontiers in Immunology. 2018; 9 (2061): 10. doi: 10.3389/fimmu.2018.02061
  16. Schreiber G. The molecular basis for differential type I interferon signaling. J. Biol. Chem. 2017; 292 (18): 7285-94.
  17. Li H., Sharma N., General I.J. et al. Dynamic modulation of binding affinity as mechanism for regulating interferon signaling. J. Mol. Biol. 2017; 429 (16): 2571-89.
  18. Chuartzman S.G., Nevo R., Waichman S. et al. Binding of interferon reduces the force of unfolding for interferon receptor 1. PLoS One. 2017; 12 (4): e0175413. doi: 10.1371/journal.pone.0175413
  19. Li Z., Strunk J.J., Lamken P. et al. The EM structure of a type I interferon-receptor complex reveals a novel mechanism for cytokine signaling. J. Mol. Biol. 2008; 377 (3): 715-24.
  20. Jaks E., Gavutis M., Uze G. et al. Differential receptor subunit affinities of type I interferons govern differential signal activation. J. Mol. Biol. 2007; 366: 525-39.
  21. Guarnera E., Berezovsky I.N. Allosteric sites: remote control in regulation of protein activity. Curr. Opin. Struct. Biol. 2016; 37: 1-8.
  22. Nussinov R., Ma B., Tsai C.J. Multiple conformational selection and induced fit events take place in allosteric propagation. Biophys. Chem. 2014; 186: 22-30.
  23. Csermely P., Palotai R., Nussinov R. Induced fit, conformational selection and independent dynamic segments: an extended view of binding events. Trends in biochemical sciences. 2010; 35 (10): 539-46.
  24. Del Sol A., Tsai C.J., Ma B., Nussinov R. The origin of allosteric functional modulation: multiple pre-existing pathways. Structure. 2009; 17 (8): 1042-50.
  25. Henzler-Wildman K.F., Thai V., Lei M. et al. Intrinsic motions along enzymatic reaction trajectory. Nature. 2007; 450 (7171): 838-44.
  26. Bahar I., Chennubhotla Ch., Tobi D. Intrinsic enzyme dynamics in the unbound state and relation to allosteric regulation. Curr. Opin. Struct. Biol. 2007; 17 (6): 633-40.
  27. Varki A. Biological roles of glycans. Glycobiology. 2017; 27 (1): 3-49.
  28. Springer S.A., Ganeuz P. Glycomics: revealing the dynamic ecology and evolution of sugar molecules. J. Proteomics. 2016; 135: 90-100.
  29. Legentil L., Paris F., Ballet C. et al. Molecular Interactions of p-(1-3)-Glucans with Their Receptors. Molecules. 2015; 20: 9745-66. doi: 10.3390/molecules20069754

Supplementary files

Supplementary Files
Action
1. JATS XML

This website uses cookies

You consent to our cookies if you continue to use our website.

About Cookies