1
|
Kulagina DA, Sysolyatin SV, Krylova SG, Kiseleva EA, Povetyeva TN, Zueva EP, Eremina VV, Alekseeva NA, Strokova SV, Suslov NI, Zhdanov VV. Biological Activity of Hexaazaisowurtzitane Derivatives. Molecules 2023; 28:8084. [PMID: 38138574 PMCID: PMC10745456 DOI: 10.3390/molecules28248084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 12/10/2023] [Accepted: 12/12/2023] [Indexed: 12/24/2023] Open
Abstract
Biologically active compounds of natural or synthetic origin have a complex structure and generally contain various structural groups among which polycyclic cage amines are found. Hexaazaisowurtzitanes are representatives of these amines and studies on their biological activity began less than two decades ago, starting with research on the environmental impact of CL-20. This research helped to evaluate the risks of potential pollution in the habitat environments of living organisms and determine whether the chemical compounds in question could be utilized in pesticides, herbicides, fungicides, or medicinal drugs. The nomenclature of hexaazaisowurtzitane compounds has recently been expanded significantly, and some of them have demonstrated promise in the design of medicinal drugs. This paper review studies the pharmacological activity of the acyl derivatives of hexaazaisowurtzitane. Most of the compounds have been found to possess a high analgesic activity, providing a solution to the pressing issue of pain management in current pharmacology. Analgesic drugs currently used in the clinical practice do not meet all of the efficacy and safety requirements (gastro-, nephro-, hepato-, haematotoxicity, etc.). The material presented in the seven sections of this paper highlights information about hexaazaisowurtzitane derivatives. Furthermore, they have been observed to exhibit anti-inflammatory, anticonvulsant, antihypoxic, and antimetastatic activities, which render them highly promising for evaluation in various fields of medicinal practice.
Collapse
Affiliation(s)
- Daria A. Kulagina
- Laboratory for Medicinal Chemistry, Institute for Problems of Chemical and Energetic Technologies, Siberian Branch of the Russian Academy of Sciences (IPCET SB RAS), 659322 Biysk, Russia; (S.V.S.); (V.V.E.); (N.A.A.); (S.V.S.)
| | - Sergey V. Sysolyatin
- Laboratory for Medicinal Chemistry, Institute for Problems of Chemical and Energetic Technologies, Siberian Branch of the Russian Academy of Sciences (IPCET SB RAS), 659322 Biysk, Russia; (S.V.S.); (V.V.E.); (N.A.A.); (S.V.S.)
| | - Svetlana G. Krylova
- Goldberg Research Institute of Pharmacology and Regenerative Medicine (GRIP&RM), Tomsk National Research Medical Center, Russian Academy of Sciences, 634028 Tomsk, Russia; (S.G.K.); (E.A.K.); (T.N.P.); (E.P.Z.); (N.I.S.); (V.V.Z.)
| | - Elena A. Kiseleva
- Goldberg Research Institute of Pharmacology and Regenerative Medicine (GRIP&RM), Tomsk National Research Medical Center, Russian Academy of Sciences, 634028 Tomsk, Russia; (S.G.K.); (E.A.K.); (T.N.P.); (E.P.Z.); (N.I.S.); (V.V.Z.)
| | - Tatiana N. Povetyeva
- Goldberg Research Institute of Pharmacology and Regenerative Medicine (GRIP&RM), Tomsk National Research Medical Center, Russian Academy of Sciences, 634028 Tomsk, Russia; (S.G.K.); (E.A.K.); (T.N.P.); (E.P.Z.); (N.I.S.); (V.V.Z.)
| | - Elena P. Zueva
- Goldberg Research Institute of Pharmacology and Regenerative Medicine (GRIP&RM), Tomsk National Research Medical Center, Russian Academy of Sciences, 634028 Tomsk, Russia; (S.G.K.); (E.A.K.); (T.N.P.); (E.P.Z.); (N.I.S.); (V.V.Z.)
| | - Valeria V. Eremina
- Laboratory for Medicinal Chemistry, Institute for Problems of Chemical and Energetic Technologies, Siberian Branch of the Russian Academy of Sciences (IPCET SB RAS), 659322 Biysk, Russia; (S.V.S.); (V.V.E.); (N.A.A.); (S.V.S.)
| | - Natalia A. Alekseeva
- Laboratory for Medicinal Chemistry, Institute for Problems of Chemical and Energetic Technologies, Siberian Branch of the Russian Academy of Sciences (IPCET SB RAS), 659322 Biysk, Russia; (S.V.S.); (V.V.E.); (N.A.A.); (S.V.S.)
| | - Svetlana V. Strokova
- Laboratory for Medicinal Chemistry, Institute for Problems of Chemical and Energetic Technologies, Siberian Branch of the Russian Academy of Sciences (IPCET SB RAS), 659322 Biysk, Russia; (S.V.S.); (V.V.E.); (N.A.A.); (S.V.S.)
| | - Nikolai I. Suslov
- Goldberg Research Institute of Pharmacology and Regenerative Medicine (GRIP&RM), Tomsk National Research Medical Center, Russian Academy of Sciences, 634028 Tomsk, Russia; (S.G.K.); (E.A.K.); (T.N.P.); (E.P.Z.); (N.I.S.); (V.V.Z.)
| | - Vadim V. Zhdanov
- Goldberg Research Institute of Pharmacology and Regenerative Medicine (GRIP&RM), Tomsk National Research Medical Center, Russian Academy of Sciences, 634028 Tomsk, Russia; (S.G.K.); (E.A.K.); (T.N.P.); (E.P.Z.); (N.I.S.); (V.V.Z.)
| |
Collapse
|
2
|
Tarasova O, Biziukova N, Kireev D, Lagunin A, Ivanov S, Filimonov D, Poroikov V. A Computational Approach for the Prediction of Treatment History and the Effectiveness or Failure of Antiretroviral Therapy. Int J Mol Sci 2020; 21:ijms21030748. [PMID: 31979356 PMCID: PMC7037494 DOI: 10.3390/ijms21030748] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Revised: 01/20/2020] [Accepted: 01/21/2020] [Indexed: 02/01/2023] Open
Abstract
Human Immunodeficiency Virus Type 1 (HIV-1) infection is associated with high mortality if no therapy is provided. Currently, the treatment of an HIV-1 positive patient requires that several drugs should be taken simultaneously. The resistance of the virus to an antiretroviral drug may lead to treatment failure. Our approach focuses on predicting the exposure of a particular viral variant to an antiretroviral drug or drug combination. It also aims at the prediction of drug treatment success or failure. We utilized nucleotide sequences of HIV-1 encoding protease and reverse transcriptase to perform such types of prediction. The PASS (Prediction of Activity Spectra for Substances) algorithm based on the naive Bayesian classifier was used to make a prediction. We calculated the probability of whether a sequence belonged (P1) or did not belong (P0) to the class associated with exposure of the viral sequence to the set of drugs that can be associated with resistance to the set of drugs. The accuracy calculated as the average Area Under the ROC (Receiver Operating Characteristic) Curve (AUC/ROC) for classifying exposure of the sequence to the HIV-1 protease inhibitors was 0.81 (±0.07), and for HIV-1 reverse transcriptase, it was 0.83 (±0.07). To predict cases of treatment effectiveness or failure, we used P1 and P0 values, obtained in PASS, along with the binary vector constructed based on short nucleotide descriptors and the applied random forest classifier. Average AUC/ROC prediction accuracy for the prediction of treatment effectiveness or failure for the combinations of HIV-1 protease inhibitors was 0.82 (±0.06) and of HIV-1 reverse transcriptase was 0.76 (±0.09).
Collapse
Affiliation(s)
- Olga Tarasova
- Department of Bioinformatics, Institute of Biomedical Chemistry, 119121 Moscow, Russia; (N.B.); (A.L.); (S.I.); (D.F.); (V.P.)
- Correspondence:
| | - Nadezhda Biziukova
- Department of Bioinformatics, Institute of Biomedical Chemistry, 119121 Moscow, Russia; (N.B.); (A.L.); (S.I.); (D.F.); (V.P.)
| | - Dmitry Kireev
- Central Research Institute of Epidemiology, 111123 Moscow, Russia;
| | - Alexey Lagunin
- Department of Bioinformatics, Institute of Biomedical Chemistry, 119121 Moscow, Russia; (N.B.); (A.L.); (S.I.); (D.F.); (V.P.)
- Department of Bioinformatics, Pirogov Russian National Research Medical University, 117997 Moscow, Russia
| | - Sergey Ivanov
- Department of Bioinformatics, Institute of Biomedical Chemistry, 119121 Moscow, Russia; (N.B.); (A.L.); (S.I.); (D.F.); (V.P.)
- Department of Bioinformatics, Pirogov Russian National Research Medical University, 117997 Moscow, Russia
| | - Dmitry Filimonov
- Department of Bioinformatics, Institute of Biomedical Chemistry, 119121 Moscow, Russia; (N.B.); (A.L.); (S.I.); (D.F.); (V.P.)
| | - Vladimir Poroikov
- Department of Bioinformatics, Institute of Biomedical Chemistry, 119121 Moscow, Russia; (N.B.); (A.L.); (S.I.); (D.F.); (V.P.)
| |
Collapse
|
3
|
Gillbro JM, Lundahl M, Westman M, Baral R, Al-Bader T, Mavon A. Structural activity relationship analysis (SAR) andin vitrotesting reveal the anti-ageing potential activity of acetyl aspartic acid. Int J Cosmet Sci 2015; 37 Suppl 1:15-20. [DOI: 10.1111/ics.12253] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2015] [Accepted: 06/18/2015] [Indexed: 12/23/2022]
Affiliation(s)
- J. M. Gillbro
- Oriflame Skin Research Institute; Mäster Samuelsgatan 56 Stockholm 11121 Sweden
| | - M. Lundahl
- Oriflame Skin Research Institute; Mäster Samuelsgatan 56 Stockholm 11121 Sweden
| | - M. Westman
- Oriflame Skin Research Institute; Mäster Samuelsgatan 56 Stockholm 11121 Sweden
| | - R. Baral
- Oriflame Skin Research Institute; Mäster Samuelsgatan 56 Stockholm 11121 Sweden
| | - T. Al-Bader
- Oriflame Skin Research Institute; Mäster Samuelsgatan 56 Stockholm 11121 Sweden
| | - A. Mavon
- Oriflame Skin Research Institute; Mäster Samuelsgatan 56 Stockholm 11121 Sweden
| |
Collapse
|
4
|
Virtual Screening for Potential Substances for the Prophylaxis of HIV Infection in Libraries of Commercially Available Organic Compounds. Pharm Chem J 2013. [DOI: 10.1007/s11094-013-0958-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
|