Quantitative structure-activity relationship modelling of influenza М2 ion channels inhibitors Scientific paper

Main Article Content

Ivanka G. Stankova
https://orcid.org/0000-0002-2750-5813
Radoslav L. Chayrov
Michaela Schmidtke
https://orcid.org/0000-0001-9163-5682
Dancho L. Danalev
https://orcid.org/0000-0003-1193-7379
Liudmila N. Ognichenko
Anatoly G Artemenko
Valery A. Shapkin
Victor E. Kuz'min

Abstract

A series of adamantane derivatives (rimantadine and amantadine) incorporating amino-acid residues are investigated by simplex representation of molecular structure (SiRMS) approach in order to found correlation between chemical structures of investigated compounds and obtained data for antiviral activity and cytotoxicity. The obtained data from QSAR analysis show that adamantane derivatives containing amino acids with short aliphatic non-polar residues in the lateral chain will have good antiviral activity against the tested virus A/H3N2, strain Hong Kong/68 with low cytotoxicity. QSAR experiments and in vitro data also show good correlation and reveal that modified adaman­tine derivatives including guanidated in the lateral chain amino acid and β-amino acids as substituents show low to none activity.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

Article Details

How to Cite
[1]
I. G. Stankova, “Quantitative structure-activity relationship modelling of influenza М2 ion channels inhibitors: Scientific paper”, J. Serb. Chem. Soc., vol. 86, no. 7-8, pp. 625–637, Aug. 2021.
Section
Organic Chemistry

References

R. L. Tominack, F. G. Hayden, Infect. Dis. Clin. North. Am. 1 (1987) 459.

R. B. Belshe, M. H. Smith, C. B. Hall, R. Betts, A. J. Hay, J. Virol. 62 (1988) 1508 (https://jvi.asm.org/content/62/5/1508)

J. Wang, C. Ma, J. Wang, H. Jo, B. Canturk, G. Fiorin, W. F. DeGrado, J. Med. Chem. 56 (2013) 2804 (https://doi.org/10.1021/jm301538e)

R. M. Pielak, J. J. Chou, Biochem. Biophys. Res. Commun. 401 (2010) 58 (https://doi.org/10.1016/j.bbrc.2010.09.008)

J. Wang, J. X. Qiu, C. Soto, W. F. DeGrado, Curr. Opin. Struct. Biol. 21 (2011) 68 (https://doi.org/10.1016/j.sbi.2010.12.002)

A. V. Gaiday, I. A. Levandovskiy, K. G. Byler, T. E. Shubina, in Proceedings of International Conference on Computational Science, 2008, Berlin, Germany, pp. 360–368 (https://doi.org/10.1007/978-3-540-69387-1_40)

V. E. Kuzmin, A. G. Artemenko, E. N. Muratov, J. Computer-Aided Molec. Des. 22 (2008) 403 (https://doi.org/10.1007/s10822-008-9211-x)

V. E. Kuzmin, A. G. Artemenko, E. N. Muratov, P. G. Polischuk, L. N. Ognichenko, A. V. Liahovsky, A. I. Hromov, E. V. Varlamova, Recent Advances in QSAR Studies: Methods and Applications,Springer, Dordrecht, 2010, p.127 (ISBN 978-1-4020-9783-6)

S. Rännar, F. Lindgren, P. Geladi, S. Wold, J. Chemometrics 8 (1994) 111 (https://doi.org/10.1002/cem.1180080204)

L. Breiman, Machine Learning 45 (2001) 5 (https://doi.org/10.1023/A:1010933404324)

R. E. Carhart, D. H. Smith, R. Venkataraghavan, J. Chem. Inform. Comp. Sci. 25 (1985) 64 (https://doi.org/10.1021/ci00046a002)

K. Hasegawa, Y. Miyashita, K. Funatsu, J. Chem. Inform. Comp. Sci. 37 (1997) 306 (https://doi.org/10.1021/ci960047x)

V. E. Kuzmin, A. G. Artemenko, P. G. Polischuk, E. N. Muratov, A. I. Hromov, A. V. Liahovskiy, S. A. Andronati, S. Y. Makan, J. Mol. Model 11 (2005) 457 (http://doi.org/10.1007/s00894-005-0237-x)

OECD (2014) Guidance Document on the Validation of (Quantitative) Structure-Activity Relationship [(Q)SAR] Models, OECD Series on Testing and Assessment, OECD Publishing, Paris, 2014, p.154 (http://doi.org/10.1787/9789264085442-en)

M. Meloun, J. Militku, M. Hill, Analyst 127 (2002) 433 (http://doi.org/10.1039/B110779H)

P. G. Polischuk, E. N. Muratov, A. G. Artemenko, O. G. Kolumbin, N. N. Muratov, V. E. Kuz'min, J. Chem. Inf. Mod. 49 (2009) 2481 (http://doi.org/10.1021/ci900203n)

R. Chayrov, N. A. Parisis, M. V. Chatziathanasiadou, E. Vrontaki, K. Moschovou, G. Melagraki, H. Sbirkova-Dimitrova, B. Shivachev, M. Schmidtke, Y. Mitrev, M. Sticha, T. Mavromoustakos, A. G. Tzakos, I. Stankova, Molecules 25 (2020) 3989 (https://doi.org/10.3390/molecules25173989)

A. Chintakrindi, Ch. D'souza, M. Kanyalkar, Mini Rev. Med. Chem. 12 (2012) 1273 (https://doi.org/10.2174/138955712802761997).