A computational study of mercaptopurine and thioguanine binding to gold clusters Aun (n = 3, 4)

Nguyen Thanh Si; Duong Thi Huyen; Pham Thi Bich Thao; Tran Ni Kha; Pham Vu Nhat

doi:10.51316/jca.2021.058

Authors

Nguyen Thanh Si Faculty of Natural Sciences, Quy Nhon University Author
Duong Thi Huyen Faculty of Natural Sciences, Quy Nhon University Author
Pham Thi Bich Thao Faculty of Natural Sciences, Quy Nhon University Author
Tran Ni Kha Pham Ngoc Thach College Cantho Author
Pham Vu Nhat Faculty of Natural Sciences, Quy Nhon University Author

DOI:

https://doi.org/10.51316/jca.2021.058

Keywords:

DFT, gold clusters, mercaptopruine, thioguanine

Abstract

The density functional theory calculations are employed to elucidate the adsorption/desorption behaviours of mercaptopurine (MP) and thioguanine (TG) drugs on the gold surfaces, using Au₃ and Au₄ clusters as model reactants. The PBE functional in combination with the effective core potential cc-pVTZ-PP basis set for gold atoms and cc-pVTZ basis set for nonmetals have been used to investigated geometric structures, thermodynamic parameters and electronic properties of the obtained complexes. The IEF-PCM model with water solvent was used to include the effect of biological environment on the interactions. The computed results show that the binding is dominated by a covelant bond Au−S and by electrostatic effects, namely a hydrogen bond contribution NH∙∙∙Au. In addition, the drug binding to gold clusters is a reversible process and a drug release mechanism was also clarified. Accordingly, the drugs are willing to separate from the gold surface due to either a slight change of pH in tumor cells or the presence of cysteine residues in protein matrices.

Downloads

Download data is not yet available.

References

S. Eckhardt, P. S. Brunetto, J. Gagnon, M. Priebe, B. Giese, K. M. Fromm, Chem. Rev. 113 (2013) 4708-4754. https://doi.org/10.1021/cr300288v

S. Akhter, I. Ahmad, M. Z. Ahmad, F. Ramazani, A. Singh, Z. Rahman, R. J. Kok, Curr. Cancer Drug Targets 13 (2013) 362-378. https://doi.org/10.2174/1568009611313040002

G. Ajnai, A. Chiu, T. Kan, C. C. Cheng, T. H. Tsai, J. Chang, J. Exp. Clin. Med. 6 (2014) 172-178. https://doi.org/10.1016/j.jecm.2014.10.015

J. F. Hainfeld, D. N. Slatkin, T. M. Focella, H. M. Smilowitz, Br. J. Radiol. Suppl. 79 (2005) 248-253. https://doi.org/10.1259/bjr/13169882

M. Demurtas, C. C. Perry, Gold Bull. 47 (2014) 103–107. https://doi.org/10.1007/s13404-013-0129-2

L. A. Austin, M. A. Mackey, E. C. Dreaden, M. A. El-Sayed, Arch. Toxicol. 88 (2014) 1391-1417. https://doi.org/10.1007/s00204-014-1245-3

V. P. Torchilin, Nat. Rev. Drug Discov. 13 (2014) 813-827. https://doi.org/10.1038/nrd4333

S. Kalepu, V. Nekkanti, Acta Pharm. Sin. B. 5 (2015) 442-453. https://doi.org/10.1016/j.apsb.2015.07.003

C. S. Thaxton, D. G. Georganopoulou, C. A. Mirkin, Clin. Chim. Acta 363 (2006) 120-126. 10.1016/j.cccn.2005.05.042

S. K. Brar, M. Verma, Trends Anal. Chem. 30 (2011) 4–17. https://doi.org/10.1016/j.trac.2010.08.008

M. L. Viger, W. Sheng, C. L. McFeari, M. Y. Berezin, A. Almutairi, J. Control. Release 171 (2013) 308–314. https://doi.org/10.1016/j.jconrel.2013.06.018

M. L. Briuglia, C. Rotella, A. McFarlane, D. A. Lamprou, Drug Deliv. Transl. Res. 5 (2015) 231–242. doi: 10.1007/s13346-015-0220-8

T. Sun, Q. Guo, C. Zhang, J. Hao, P. Xing, J. Su, S. Li, A. Hao, G. Liu, Langmuir 28 (2012) 8625–8636. https://doi.org/10.1021/la301497t

J. Sharma, R. C. Rocha, M. L. Phipps, H.-C. Yeh, K. A. Balatsky, D. M. Vu, A. P. Shreve, J. H. Werner, J. S. Martinez, Nanoscale 4 (2012) 4107–4110. https://doi.org/10.1039/C2NR30662J

J. T. Petty, D. A. Nicholson, O. O. Sergev, S. K. Graham, Anal. Chem 86 (2014) 9220–9228. https://doi.org/10.1021/ac502192w

British National Formulary, BNF 69 (69 ed.), British Medical Association. BMJ Group, and Pharmaceutical Press, 2015.

World Health Organization, Executive Summary. The selection and use of essential medicines 2019. Report of the 22nd WHO expert committee on the selection and use of essential medicines, 1-5 April 2019. Geneva: World Health Organization; 2019. Licence: CC BY-NC-SA 3.0 IGO (2019).

M. J. Frisch, G. W. Trucks, H. B. Schlegel, G. E. Scuseria, M. A. Robb, J. R. Cheeseman, G. Scalmani, V. Barone, G. A. Petersson, H. Nakatsuji, X. Li, M. Caricato, A. V. Marenich, J. Bloino, Gaussian 16, Revision C.01, Gaussian, Inc., Wallingford CT, 2016.

P. V. Nhat, N. T. Si, N. T. T. Tram, L. V. Duong, M. T. Nguyen, J. Comput. Chem. 41 (2020) 1748-1758. https://doi.org/10.1002/jcc.26216

P. Ghosh, G. Han, M. De, C. K. Kim, V. M. Rotello, Adv. Drug Deliv. Rev. 60 (2008) 1307-1315. https://doi.org/10.1016/j.addr.2008.03.016

P. Swietach, R. D. Vaughan-Jones, A. L. Harris, A. Hulikova, Philos. Trans. R. Soc. B 369 (2014) 20130099. doi: 10.1098/rstb.2013.0099

X. Le Guével, B. Hötzer, G. Jung, K. Hollemeyer, V. Trouillet, M. Schneider, J. Phys. Chem. C 115 (2011) 10955-10963. https://doi.org/10.1021/jp111820b

M. J. O'Neil, The Merck index: an encyclopedia of chemicals, drugs, and biologicals. RSC Publishing, 2013.

P. V. Nhat, P. T. N. Nguyen, N. T. Si, J. Mol. Model. 26 (2020) 58. doi: 10.1007/s00894-020-4312-0