- PII
- S0006302925010048-1
- DOI
- 10.31857/S0006302925010048
- Publication type
- Article
- Status
- Published
- Authors
- Volume/ Edition
- Volume 70 / Issue number 1
- Pages
- 35-43
- Abstract
- An important feature of biochemical reactions of molecules is the possibility of binding of several ligands to a biomolecular target. This effect should be taken into account in the analysis of protein–ligand interactions and in the estimates of drug distribution in the living systems. This work describes molecular simulations of successive parallel steps of binding of two aspirin (As) molecules at the known binding sites 1–3 of human serum albumin with differing affinity. The experimental data on multiple binding of aspirin to albumin is inconclusive. Docking of aspirin anion As– to albumin predicts that stability of the complexes at the binding sites changes as 1 > 3 > 2. Molecular dynamics simulations have further shown that the complexes at site 3 are unstable. The free energies of ligand binding ΔGb have been calculated using extended linear interaction energies method with additional contributions of the entropy of ligand binding. The results have shown that the most probable reaction path corresponds to binding of As– at site 1 with ΔGb1= ‒8.2 kcal·mol–1 and after that to site 2 with ΔGb2= ‒4.5 kcal·mol–1. The calculated values of ΔGb agree with the known experimental data. The stoichiometry of the albumin–As–complexes is 2. Negative cooperative effect is found for binding of two As– molecules with albumin. The used molecular model and computational approaches can be further employed in the studies of binding of different medicinal molecules that are transported by serum albumin.
- Keywords
- комплексы белок–лиганд константа связывания сывороточный альбумин аспирин молекулярная динамика
- Date of publication
- 24.10.2025
- Year of publication
- 2025
- Number of purchasers
- 0
- Views
- 15
References
- 1. Peters T. Jr. All about albumin: biochemistry, genetics, and medical applications (Academic Press, 1995).
- 2. Ghuman J., Zunszain P. A., Petitpas I., Bhattacharya A. A., Otagiri M., and Curry S. Structural basis of the drug-binding specificity of human serum albumin. J. Mol. Biol., 353, 38–52 (2005). DOI: 10.1016/j.jmb.2005.07.075
- 3. Curry S. Lessons from the crystallographic analysis of small molecule binding to human serum albumin. Drug Metab. Pharmacokinet., 24, 342–357 (2009).
- 4. Yamasaki K., Chuang V. T. G., Maruyama T., and Otagiri M. Albumin–drug interaction and its clinical implication. Biochim. Biophys. Acta – General Subjects, 1830, 5435–5443 (2013). DOI: 10.1016/j.bbagen.2013.05.005
- 5. Zsila F. Subdomain IB is the third major drug binding region of human serum albumin: Toward the three-sites
- 6. model. Mol. Pharmaceut., 10, 1668–1682 (2013). DOI: 10.1021/mp400027q
- 7. Czub M. P., Handing K. B., Venkataramany B. S., Cooper D. R., Shabalin I. G., and Minor W. Albumin-based transport of nonsteroidal anti-inflammatory drugs in mammalian blood plasma. J. Med. Chem., 63, 6847–6862 (2020). DOI: 10.1021/acs.jmedchem.0c00225
- 8. Spada A., Emami J., Tuszynski J. A., and Lavasanifar A. The uniqueness of albumin as a carrier in nanodrug delivery. Mol. Pharmaceut., 18, 1862–1894 (2021). DOI: 10.1021/acs.molpharmaceut.1c00046
- 9. Ribeiro A. G., Alves J. E. F., Soares J. C. S., dos Santos K. L., Jacob I. T. T., da Silva Ferreira C. J., dos Santos J. C., de Azevedo R. D. S., Almeida S. M. V., and de Lima M. C. A. Albumin roles in developing anticancer compounds. Med. Chem. Res., 30, 1469–1495 (2021). DOI: 10.1007/s00044-021-02748-z
- 10. He X. M. and Carter D. C. Atomic structure and chemistry of human serum albumin. Nature, 358, 209–215
- 11. (1992).
- 12. Pokidova О. V., Luzhkov V. B., Emelyanova N. S., Krapivin V. B., Kotelnikov A. I., Sanina N. A., and Aldoshin S. M. Effect of albumin on the transformation of dinitrosyl iron complexes with thiourea ligands. Dalton Trans., 49, 12674–12685 (2020). DOI: 10.1039/d0dt02452j
- 13. Durrant J. D. and McCammon J. A. Molecular dynamics simulations and drug discovery. DMC Biol., 9, 71 (2011). DOI: 10.1186/1741-7007-9-71
- 14. Лужков В. Б. Молекулярное моделирование и расчеты свободных энергий связывания белков и биологически активных соединений. Усп. химии, 86 (3), 211–230 (2017). DOI: 10.1070/RCR4610
- 15. York D. M. Modern alchemical free energy methods for drug discovery explained. ACS Phys. Chem. Au., 3, 478–491 (2023). DOI: 10.1021/acsphyschemau.3c00033
- 16. Bojko B., Sulkowska A., Maciazek M., Rownicka J., Njau F., and Sulkowski W. W. Changes of serum albumin affinity for aspirin induced by fatty acid. J. Biol. Macromol., 42, 314–323 (2008). DOI: 10.1016/j.ijbiomac.2007.11.002
- 17. Yang F., Bian C., Zhu L., Zhao G., Huang Z., and Huang M. Effect of human serum albumin on drug metabolism: Structural evidence of esterase activity of human serum albumin. J. Struct. Biol., 157, 348–355 (2007). DOI: 10.1016/j.jsb.2006.08.015
- 18. Brozell S. R., Mukherjee S., Balius T. E., Roe D. R., Case D. A., and Rizzo R. C. Evaluation of DOCK 6 as a pose generation and database enrichment tool. J. Comput. Aided Mol. Des., 26, 749–773 (2012). DOI: 10.1007/s10822-012-9565-y
- 19. Allen W. J., Balius T. E., Mukherjee S., Brozell S. R., Moustakas D. T., Lang P. T., Case D. A., Kuntz I. D., and Rizzo R. C. DOCK 6: Impact of new features and current docking performance. J. Comput. Chem., 36, 1132–1156 (2015). DOI: 10.1002/jcc.23905
- 20. Pettersen E. F., Goddard T. D., Huang C. C., Couch G. S., Greenblatt D. M., Meng E. C., and FerrinT. E. UCSF chimera – a visualization system for exploratory research and analysis. J. Comput. Chem., 25, 1605–1612 (2004). DOI: 10.1002/jcc.20084
- 21. Case D. A., Cheatham T., Darden T., Gohlke H., Luo R., Merz K. M. Jr., Onufriev A., Simmerling C., Wang B., and Woods R. The amber biomolecular simulation programs. J. Comput. Chem., 26, 1668–1688 (2005). DOI: 10.1002/jcc.20290
- 22. Maier J. A., Martinez C., Kasavajhala K., Wickstrom L., Hauser K. E., and Simmerling C. ff14SB: Improving the accuracy of protein side chain and backbone parameters from ff99SB. J. Chem. Theory Comput., 11, 3696–3713 (2015). DOI: 10.1021/acs.jctc.5b00255
- 23. Marenich V., Cramer C. J., and Truhlar D. G. Universal solvation model based on solute electron density and on a continuum model of the solvent defined by the bulk dielectric constant and atomic surface tensions. J. Phys. Chem. B, 113, 6378–6396 (2009). DOI: 10.1021/jp810292n
- 24. King G. and Warshel A. A surface constrained all-atom solvent model for effective simulations of polar solutions. J. Chem. Phys., 91, 3647–3661 (1989).
- 25. Kaminski G. A., Friesner R. A., Tirado-Rives J., and Jorgensen W. L. Evaluation and reparametrization of the OPLS-AA force field for proteins via comparison with accurate quantum chemical calculations on peptides. J. Phys. Chem. B, 105, 6474–6487 (2001). DOI: 10.1021/jp003919d
- 26. Åqvist J., Medina C., and Samuelson J. E. A new method for predicting binding affinity in computer-aided drug design. Protein Eng., 7, 385–391 (1994).
- 27. Marelius J., Kolmodin K., Feierberg I., and Åqvist J. Q. A molecular dynamics program for free energy calculations and empirical valence bond simulations in biomolecular systems. J. Mol. Graph. Modelling, 16, 213–225 (1998).
- 28. Åqvist J., Luzhkov V., and Brandsdal B. Ligand binding affinities from MD simulations. Acc. Chem. Res., 35, 358–365 (2002). DOI: 10.1021/ar010014p 2
- 29. Almlöf M., Andér M., and Åqvist J. Energetics of codonanticodon recognition on the small ribosomal subunit. Biochemistry, 46, 200–209 (2007). DOI: 10.1021/bi061713i
- 30. Luzhkov V., Decroly E., Canard B., Selisko B., and Åqvist J. Evaluation of adamantane derivatives as inhibitors of dengue virus mRNA cap methyltransferase by docking and molecular dynamics simulations. Mol. Inf., 32, 155–164 (2013). DOI: 10.1002/minf.201200107
- 31. Stjernschantz E., Marelius J., Medina C., Jacobsson M., Vermeulen N. P. E., and Oostenbrink C. Are automated molecular dynamics simulations and binding free energy calculations realistic tools in lead optimization? An evaluation of the linear interaction energy (LIE) method. J. Chem. Inf. Model., 46, 1972–1983 (2006). DOI: 10.1021/ci0601214
- 32. Singh N. and Warshel A. A comprehensive examination of the contributions to the binding entropy of protein–ligand complexes. Proteins, 78, 1724–1735 (2010). DOI: 10.1002/prot.22689