Abstract
Multiple docking of five new acetamide derivatives of 1-methylquinazoline-2,4(1H,3H)-dione was carried out over the entire GABAA receptor (gamma-butyric acid type A receptor) and the energy spectra of multiple docking were calculated. Using a model based on multiple docking and artificial neural networks technology, the level of GABAA agonistic activity of these compounds was predicted. One promising compound with possible high GABAA agonistic activity was identified. Synthesis of five new acetamide derivatives of 1-methylquinazorine-2,4(1H,3H)-dione was accomplished. The psychotropic activity of the synthesized compounds was studied in the open field behavioral test. One compound was found to have a pronounced priming effect, comparable to that of the reference drug diazepam. This active compound was recommended for further in-depth study of its anxiolytic and antidepressant properties. The predictive accuracy of the technology developed in silico was 100%, which allowed us to recommend it for a directed search for innovative drugs with various types of pharmacological action.
References
J. Rehm, O. S. M. Hasan, S. E. Black, K. D. Shield, M. Schwarzinger, Alzheimers Res. Ther., 2019, 11; DOI: https://doi.org/10.1186/s13195-018-0453-0.
N. E. Calcaterra, J. C. Barrow, ACS Chem. Neuroscience, 2014, 5, 4; DOI: https://doi.org/10.1021/cn5000056.
E. S. Kelbysheva, L. N. Telegina, E. A. Ershova, T. V. Strelkova, M. G. Ezernitskaya, E. V. Nosova, A. F. Smol’yakov, F. M. Dolgushin, N. M. Loim, Russ. Chem. Bull., 2017, 66, 2; DOI: https://doi.org/10.1007/s11172-017-1735-6.
S. Öztürk, S. Okay, A. Yıldırım, Russ. Chem. Bull., 2020, 69, 11; DOI: https://doi.org/10.1007/s11172-020-3023-0.
H. Hammer, B. M. Bader, C. Ehnert, C. Bundgaard, L. Bunch, K. Hoestgaard-Jensen, O. H.-U. Schroeder, J. F. Bastlund, A. Gramowski-Voß, A. A. Jensen, Mol. Pharmacol., 2015, 88, 2; DOI: https://doi.org/10.1124/mol.115.099291.
Swiss Pharmaceutical Society, Index Nominum 2000: International Drug Directory (Book with CD-ROM), Medpharm Scientific Publishers, Boca Raton, 2000, 1932 pp.
X. Xiao, M. X. Zhu, T.-L. Xu, Neuropharmacol., 2013, 75; DOI: https://doi.org/10.1016/j.neuropharm.2013.07.018.
S. Intagliata, M. N. Modica, V. Pittalà, L. Salerno, M. A. Siracusa, A. Cagnotto, M. Salmona, R. Kurczab, G. Romeo, Bioorg. Med. Chem., 2017, 25, 3; DOI: https://doi.org/10.1016/j.bmc.2016.12.039.
A. F. Brito, L. K. S. Moreira, R. Menegatti, E. A. Costa, Fundam. Clin. Pharmacol., 2019, 33, 1; DOI: https://doi.org/10.1111/fcp.12408.
L. Pinzi, G. Rastelli, Int. J. Mol. Sci., 2019, 20, 4331; DOI: https://doi.org/10.3390/ijms20184331.
P. M. Vassiliev, A. N. Kochetkov, A. A. Spasov, M. A. Perfilev, Volgograd. Nauch.-Med. Zhurn. [Volgograd. Sci.-Med. J.], 2021, 3 (in Russian).
P. M. Vassiliev, A. A. Spasov, L. R. Yanaliyeva, A. N. Kochetkov, V. V. Vorfolomeyeva, V. G. Klochkov, D. T. Appazova, Biochemistry (Moscow), Supplement Series B: Biomedical Chemistry, 2019, 13, 3; DOI: https://doi.org/10.1134/S1990750819030107.
MarvinSketch, ChemAxon Kft, 2019; https://chemaxon.com/products/marvin.
MOPAC, Stewart Computational Chemistry, 2019; http://openmopac.net/.
S. Zhu, C. M. Noviello, J. Teng, Jr., R. M. Walsh, J. J. Kim, R. E. Hibbs, Nature, 2018, 559, 7712; DOI: https://doi.org/10.1038/s41586-018-0255-3.
O. Trott, A. J. Olson, J. Comp. Chem., 2010, 31, 2; DOI: https://doi.org/10.1002/jcc.21334.
V. P. Borovikov, Neyronnye seti. Statistica Neural Networks: Metodologiya and tekhnologiya sovremennogo analiza dannykh [Neural Networks. Statistica Neural Networks: Methodology and Technology of Modern Data Analysis], Goryachaya liniya — Telekom, Moscow, 2008, 392 pp. (in Russian).
J. M. Hilbe, Am. Stat., 2007, 61; DOI: https://doi.org/10.1198/000313007X172998.
P. M. Vassiliev, A. N. Kochetkov, M. A. Perfilev, Vestn. VolgGMU [Bull. Volgograd State Med. Univ.], 2022, 19, 4 (in Russian).
H. Möhler, Neuropharmacology, 2012, 62, 1; DOI: https://doi.org/10.1016/j.neuropharm.2011.08.040.
I. N. Tyurenkov, A. A. Ozerov, E. A. Solodunova, Yu. V. Archakova, E. N. Shmatova, K. T. Sampieva, Pharm. Chem. J., 2013, 47, 5; DOI: https://doi.org/10.1007/s11094-013-0936-z.
A. N. Mironov, N. D. Bunyatyan, A. N. Vasiliev, O. L. Verstakova, M. V. Zhuravleva, V. K. Lepakhin, N. V. Korobov, V. A. Merkulov, S. N. Orekhov, I. V. Sakaeva, D. B. Uteshev, A. N. Yavorsky, Rukovodstvo po provedeniyu doklinicheskikh issledovaniy lekarstvennykh sredstv [Guidelines for Conducting Preclinical Drug Trials], Grif i K, Moscow, 2012, 944 pp. (in Russian).
M. Gupta, R. Sharma, A. Kumar, Comput. Biol. Chem., 2018, 76; DOI: https://doi.org/10.1016/j.compbiolchem.2018.06.005.
Author information
Authors and Affiliations
Corresponding authors
Additional information
Dedicated to Academician of the Russian Academy of Sciences I. P. Beletskaya on the occasion of her anniversary.
The animal study protocol was approved by the Local Ethics Committee of the Volgograd State Medical University (Volgograd, Russia, Protocol No. IRB 00005839 IORG 0004900 (OHRP)).
The authors declare no competing interests.
Published in Russian in Izvestiya Akademii Nauk. Seriya Khimicheskaya, Vol. 72, No. 4, pp. 1075–1082, April, 2023.
Rights and permissions
About this article
Cite this article
Perfilev, M.A., Vassiliev, P.M., Ozerov, A.A. et al. New acetamide derivatives of quinazoline-2,4(1H,3H)-dione: neural network prediction, synthesis, and psychotropic activity. Russ Chem Bull 72, 1075–1082 (2023). https://doi.org/10.1007/s11172-023-3873-1
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11172-023-3873-1