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1.
ChemMedChem ; 19(5): e202300527, 2024 03 01.
Artigo em Inglês | MEDLINE | ID: mdl-38241069

RESUMO

A novel series of N-(4-cyano-1,3-oxazol-5-yl)sulfonamides have been synthesized and characterized by IR, 1 H NMR, 13 C NMR spectroscopy, elemental analysis and chromato-mass-spectrometry. The anticancer activities of all newly synthesized compounds were evaluated via a single high-dose assay (10 µM) against 60 cancer cell lines by the National Cancer Institute (USA) according to its screening protocol. Among them, compounds 2 and 10 exhibited the highest activity against the 60 cancer cell lines panel in the one-dose assay. Compounds 2 and 10 showed inhibitory activity within the GI50 parameter and in five dose analyses. However, their cytostatic activity was only observed against some cancer cell lines, and cytotoxic concentration was outside the maximum used, i. e., >100 µM. The COMPARE analysis showed that the average graphs of the tested compounds have a moderate positive correlation with compounds with the L-cysteine analog and vinblastine (GI50 ) as well as paclitaxel (TGI), which target microtubules. Therefore, disruption of microtubule formation may be one of the mechanisms of the anticancer activity of the tested compounds, especially since among tubulin inhibitors with antitumor activity, compounds with an oxazole motif are widely represented. Therefore, N-(4-cyano-1,3-oxazol-5-yl)sulfonamides may be promising for further functionalization to obtain more active compounds.


Assuntos
Antineoplásicos , Neoplasias , Antineoplásicos/química , Linhagem Celular Tumoral , Proliferação de Células , Ensaios de Seleção de Medicamentos Antitumorais , Detecção Precoce de Câncer , Estrutura Molecular , Relação Estrutura-Atividade , Sulfanilamida/farmacologia , Sulfonamidas/química , Humanos
2.
Chem Biodivers ; 20(12): e202301267, 2023 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-37943002

RESUMO

New substituted imidazolidinone sulfonamides have been developed using a rational drug design strategy. Predictive QSAR models for the search of new antibacterials were created using the OCHEM platform. Regression models were applied to verify a virtual chemical library of new imidazolidinone derivatives designed to have antibacterial activity. A number of substituted imidazolidinone sulfonamides as effective antibacterial agents were identified by QSAR prediction, synthesized and characterized by spectral and elemental, and tested in vitro. Six studied compounds have shown the highest in vitro antibacterial activity against Gram-negative E. coli and Gram-positive S. aureus multidrug-resistant strains. The in vivo acute toxicity of these imidazolidinone sulfonamides based on the LC50 value ranged from 16.01 to 44.35 mg/L (slightly toxic compounds class). The results of molecular docking suggest that the antibacterial mechanism of the compounds can be associated with the inhibition of post-translational modification processes of bacterial peptides and proteins.


Assuntos
Antibacterianos , Staphylococcus aureus , Antibacterianos/farmacologia , Antibacterianos/química , Simulação de Acoplamento Molecular , Sulfonamidas/farmacologia , Sulfonamidas/química , Escherichia coli , Sulfanilamida , Testes de Sensibilidade Microbiana
3.
Chem Biodivers ; 20(9): e202300839, 2023 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-37552570

RESUMO

To develop novel antimicrobial agents a series of 2(4)-hydrazone derivatives of quinoline were designed, synthesized and tested. QSAR models of the antibacterial activity of quinoline derivatives were developed by the OCHEM web platform using different machine learning methods. A virtual set of quinoline derivatives was verified with a previously published classification model of anti-E. coli activity and screened using the regression model of anti-S. aureus activity. Selected and synthesized 2(4)-hydrazone derivatives of quinoline exhibited antibacterial activity against the standard and antibiotic-resistant S. aureus and E. coli strains in the range from 15 to 30 mm by the diameter of growth inhibition zones. Molecular docking showed the complex formation of the studied compounds into the catalytic domain of dihydrofolate reductase with an estimated binding affinity from -8.4 to -9.4 kcal/mol.


Assuntos
Staphylococcus aureus Resistente à Meticilina , Quinolinas , Hidrazonas/farmacologia , Simulação de Acoplamento Molecular , Antibacterianos/farmacologia , Antibacterianos/química , Quinolinas/farmacologia , Quinolinas/química , Testes de Sensibilidade Microbiana , Relação Estrutura-Atividade
4.
ChemMedChem ; 18(14): e202300161, 2023 07 17.
Artigo em Inglês | MEDLINE | ID: mdl-37169720

RESUMO

A novel series of 5-sulfinyl(sulfonyl)-4-arylsulfonyl-substituted 1,3-oxazoles has been synthesized, characterized and subjected to NCI in vitro assessment. Cancer cell lines of all subpanels were most sensitive to 2-{[4-[(4-fluorophenyl)sulfonyl]-2-(2-furyl)-1,3-oxazol-5-yl]sulfinyl}acetamide (3 l). Its antiproliferative and cytotoxic activity averaged over each subpanel was manifested in a very narrow range of concentrations (GI50 : 1.64-1.86 µM, TGI: 3.16-3.81 µM and LC50 : 5.53-7.27 µM), i. e. practically did not depend on the origin of the cancer cell line. The COMPARE matrix using TGI vector showed a high positive correlation of 3 l (r=0.88) with the intercalating agent aclarubicin, which inhibits topoisomerases. The absence in the database of standard agents that have a high correlation with the cytotoxicity of this compound suggests that it may have a unique mechanism of action. According to the results of the docking analysis, the most promising anticancer target for compound 3 l is DNA topoisomerase IIß. The obtained results indicate the anticancer activity of 5-sulfinyl(sulfonyl)-4-arylsulfonyl-substituted 1,3-oxazoles, which may be useful for the development of new anticancer drugs. 2-{[4-[(4-Fluorophenyl)sulfonyl]-2-(2-furyl)-1,3-oxazol-5-yl]sulfinyl}acetamide (3 l), as the most active, can be recommended for further in-depth studies.


Assuntos
Antineoplásicos , Oxazóis , Linhagem Celular Tumoral , Oxazóis/farmacologia , Antineoplásicos/farmacologia , Relação Estrutura-Atividade , Ensaios de Seleção de Medicamentos Antitumorais , Proliferação de Células
5.
Mol Biotechnol ; 2023 Jan 29.
Artigo em Inglês | MEDLINE | ID: mdl-36709460

RESUMO

Varicella zoster virus (VZV) infection causes severe disease such as chickenpox, shingles, and postherpetic neuralgia, often leading to disability. Reactivation of latent VZV is associated with a decrease in specific cellular immunity in the elderly and in patients with immunodeficiency. However, due to the limited efficacy of existing therapy and the emergence of antiviral resistance, it has become necessary to develop new and effective antiviral drugs for the treatment of diseases caused by VZV, particularly in the setting of opportunistic infections. The goal of this work is to identify potent oxazole derivatives as anti-VZV agents by machine learning, followed by their synthesis and experimental validation. Predictive QSAR models were developed using the Online Chemical Modeling Environment (OCHEM). Data on compounds exhibiting antiviral activity were collected from the ChEMBL and uploaded in the OCHEM database. The predictive ability of the models was tested by cross-validation, giving coefficient of determination q2 = 0.87-0.9. The validation of the models using an external test set proves that the models can be used to predict the antiviral activity of newly designed and known compounds with reasonable accuracy within the applicability domain (q2 = 0.83-0.84). The models were applied to screen a virtual chemical library with expected activity of compounds against VZV. The 7 most promising oxazole derivatives were identified, synthesized, and tested. Two of them showed activity against the VZV Ellen strain upon primary in vitro antiviral screening. The synthesized compounds may represent an interesting starting point for further development of the oxazole derivatives against VZV. The developed models are available online at OCHEM http://ochem.eu/article/145978 and can be used to virtually screen for potential compounds with anti-VZV activity.

6.
Mol Divers ; 26(2): 1115-1128, 2022 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-34086156

RESUMO

An efficient and practical synthetic procedure for libraries of diversified 1,2-dihydrochromeno[2,3-c]pyrrole-3,9-diones using a multicomponent process is presented. A convenient synthetic procedure for obtaining functionalized 3-(2-hydroxyphenyl)-4,5-dihydropyrrolo[3,4-c]pyrazol-6(1H)-ones via ring-opening strategy has also been developed. This protocol was found to be compatible with a wide range of substituents and paves the way for the practical synthesis of title compounds with a broad range of substituents under mild condition. The products can be easily isolated by crystallization without the use of chromatography.


Assuntos
Pirróis , Estrutura Molecular
7.
J Comput Aided Mol Des ; 35(12): 1177-1187, 2021 12.
Artigo em Inglês | MEDLINE | ID: mdl-34766232

RESUMO

The problem of designing new antiviral drugs against Human Cytomegalovirus (HCMV) was addressed using the Online Chemical Modeling Environment (OCHEM). Data on compound antiviral activity to human organisms were collected from the literature and uploaded in the OCHEM database. The predictive ability of the regression models was tested through cross-validation, giving coefficient of determination q2 = 0.71-0.76. The validation of the models using an external test set proved that the models can be used to predict the activity of newly designed compounds with reasonable accuracy within the applicability domain (q2 = 0.70-0.74). The models were applied to screen a virtual chemical library of imidazole derivatives, which was designed to have antiviral activity. The six most promising compounds were identified, synthesized and their antiviral activities against HCMV were evaluated in vitro. However, only two of them showed some activity against the HCMV AD169 strain.


Assuntos
Citomegalovirus , Relação Quantitativa Estrutura-Atividade , Antibacterianos/química , Antivirais/farmacologia , Humanos , Imidazóis/química , Imidazóis/farmacologia , Aprendizado de Máquina
8.
Comput Biol Chem ; 90: 107407, 2021 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-33191110

RESUMO

Natural products as well as their derivatives play a significant role in the discovery of new biologically active compounds in the different areas of our life especially in the field of medicine. The synthesis of compounds produced from natural products including cytisine is one approach for the wider use of natural substances in the development of new drugs. QSAR modeling was used to predict and select of biologically active cytisine-containing 1,3-oxazoles. The eleven most promising compounds were identified, synthesized and tested. The activity of the synthesized compounds was evaluated using the disc diffusion method against C. albicans M 885 (ATCC 10,231) strain and clinical fluconazole-resistant Candida krusei strain. Molecular docking of the most active compounds as potential inhibitors of the Candida spp. glutathione reductase was performed using the AutoDock Vina. The built classification models demonstrated good stability, robustness and predictive power. The eleven cytisine-containing 1,3-oxazoles were synthesized and their activity against Candida spp. was evaluated. Compounds 10, 11 as potential inhibitors of the Candida spp. glutathione reductase demonstrated the high activity against C. albicans M 885 (ATCC 10,231) strain and clinical fluconazole-resistant Candida krusei strain. The studied compounds 10, 11 present the interesting scaffold for further investigation as potential inhibitors of the Candida spp. glutathione reductase with the promising antifungal properties. The developed models are publicly available online at http://ochem.eu/article/120720 and could be used by scientists for design of new more effective drugs.


Assuntos
Alcaloides/farmacologia , Antifúngicos/farmacologia , Candida/efeitos dos fármacos , Glutationa Redutase/antagonistas & inibidores , Simulação de Acoplamento Molecular , Oxazóis/farmacologia , Alcaloides/síntese química , Alcaloides/química , Antifúngicos/síntese química , Antifúngicos/química , Azocinas/síntese química , Azocinas/química , Azocinas/farmacologia , Candida/enzimologia , Glutationa Redutase/metabolismo , Testes de Sensibilidade Microbiana , Estrutura Molecular , Oxazóis/síntese química , Oxazóis/química , Relação Quantitativa Estrutura-Atividade , Quinolizinas/síntese química , Quinolizinas/química , Quinolizinas/farmacologia
9.
Curr Drug Discov Technol ; 16(2): 204-209, 2019.
Artigo em Inglês | MEDLINE | ID: mdl-29669499

RESUMO

BACKGROUND: The incidence of invasive fungal infections caused by Candida spp. has increased continuously in recent decades, especially in populations of immunocompromised patients or individuals hospitalized with serious underlying diseases. Therefore, the goal of our study was the search for new potent Candida albicans inhibitors via the development of QSAR models that could speed up this search process. A number of the most promising 1,3-oxazol-4-yltriphenylphosphonium derivatives with predicted activities were synthesized and experimentally tested. Furthermore, the toxicity of the studied compounds was determined in vitro using acetylcholinesterase enzyme as a biological marker. METHODS: The classification QSAR models were created using Random Forests (WEKA-RF), k-Nearest Neighbors and Associative Neural Networks methods and different combinations of descriptors on the Online Chemical Modeling Environment (OCHEM) platform. Аntifungal properties of the investigated compounds were performed using standard disk diffusion method. The enzyme inhibitory action of the compounds was determined by modified Ellman's method using acetylcholinesterase from the electric organ of Electrophorus electricus. RESULTS: Three classification QSAR models were developed by the WEKA-RF, k-NN and ASNN methods using the ALogPS, E-State indices and Dragon v.7 descriptors. The predictive ability of the models was tested through cross-validation, giving a balanced accuracy BA = 80-91%. All compounds demonstrated good antifungal properties against Candida spp. and slight inhibition of the acetylcholinesterase activity. CONCLUSION: The high percentage of coincidence between the QSAR predictions and the experimental results confirmed the high predictive power of the developed QSAR models that can be applied as tools for finding new potential inhibitors against Candida spp. Furthermore, 1,3-oxazol-4- yl(triphenyl)phosphonium salts could be considered as promising candidates for the treatment of candidiasis and the disinfection of medical equipment.


Assuntos
Antifúngicos/química , Antifúngicos/farmacologia , Candida albicans/efeitos dos fármacos , Compostos Organofosforados/química , Compostos Organofosforados/farmacologia , Oxazóis/química , Oxazóis/farmacologia , Acetilcolinesterase/metabolismo , Antifúngicos/toxicidade , Candida albicans/crescimento & desenvolvimento , Compostos Organofosforados/toxicidade , Oxazóis/toxicidade , Relação Quantitativa Estrutura-Atividade
10.
Comput Biol Chem ; 74: 294-303, 2018 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-29698921

RESUMO

Based on modern literature data about biological activity of E7010 derivatives, a series of new sulfonamides as potential anticancer drugs were rationally designed by QSAR modeling methods Сlassification learning QSAR models to predict the tubulin polymerization inhibition activity of novel sulfonamides as potential anticancer agents were created using the Online Chemical Modeling Environment (OCHEM) and are freely available online on OCHEM server at https://ochem.eu/article/107790. A series of sulfonamides with predicted activity were synthesized and tested against 60 human cancer cell lines with growth inhibition percent values. The highest antiproliferative activity against leukemia (cell lines K-562 and MOLT-4), non-small cell lung cancer (cell line NCI-H522), colon cancer (cell lines NT29 and SW-620), melanoma (cell lines MALME-3M and UACC-257), ovarian cancer (cell lines IGROV1 and OVCAR-3), renal cancer (cell lines ACHN and UO-31), breast cancer (cell line T-47D) was found for compounds 4-9. According to the docking results the compounds 4-9 induce cytotoxicity by the disruption of the microtubule dynamics by inhibiting tubulin polymerization via effective binding into colchicine domain, similar the E7010.


Assuntos
Antineoplásicos/farmacologia , Desenho de Fármacos , Sulfonamidas/farmacologia , Antineoplásicos/síntese química , Antineoplásicos/química , Linhagem Celular Tumoral , Proliferação de Células/efeitos dos fármacos , Ensaios de Seleção de Medicamentos Antitumorais , Humanos , Aprendizado de Máquina , Modelos Moleculares , Estrutura Molecular , Relação Quantitativa Estrutura-Atividade , Sulfonamidas/síntese química , Sulfonamidas/química
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