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Singh R, Sindhu J, Devi M, Kumar P, Lal S, Kumar A, Singh D, Kumar H. Synthesis of thiazolidine-2,4-dione tethered 1,2,3-triazoles as α-amylase inhibitors: In vitro approach coupled with QSAR, molecular docking, molecular dynamics and ADMET studies. Eur J Med Chem 2024; 275:116623. [PMID: 38943875 DOI: 10.1016/j.ejmech.2024.116623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2024] [Revised: 05/08/2024] [Accepted: 06/22/2024] [Indexed: 07/01/2024]
Abstract
A new series of thiazolidine-2,4-dione tethered 1,2,3-triazole derivatives were designed, synthesized and screened for their α-amylase inhibitory potential employing in vitro and in silico approaches. The target compounds were synthesized with the help of Cu (I) catalyzed [3 + 2] cycloaddition of terminal alkyne with numerous azides, followed by unambiguously characterizing the structure by employing various spectroscopic approaches. The synthesized derivatives were assessed for their in vitro α-amylase inhibition and it was found that thiazolidine-2,4-dione derivatives 6e, 6j, 6o, 6u and 6x exhibited comparable inhibition with the standard drug acarbose. The compound 6e with a 7-chloroquinolinyl substituent on the triazole ring exhibited significant inhibition potential with IC50 value of 0.040 μmol mL-1 whereas compound 6c (IC50 = 0.099 μmol mL-1) and 6h (IC50 = 0.098 μmol mL-1) were poor inhibitors. QSAR studies revealed the positively correlating descriptors that aid in the design of novel compounds. Molecular docking was performed to investigate the binding interactions with the active site of the biological receptor and the stability of the complex over a period of 100 ns was examined using molecular dynamics studies. The physiochemical properties and drug-likeliness behavior of the potent derivatives were investigated by carrying out the ADMET studies.
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Affiliation(s)
- Rahul Singh
- Department of Chemistry, Kurukshetra University, Kurukshetra, 136119, Haryana, India; School of Chemistry, Indian Institutes of Science Education and Research, Thiruvananthapuram, Kerala, 695551, India
| | - Jayant Sindhu
- Department of Chemistry, COBS&H, CCS Haryana Agricultural University, Hisar, 125004, India
| | - Meena Devi
- Department of Chemistry, Kurukshetra University, Kurukshetra, 136119, Haryana, India
| | - Parvin Kumar
- Department of Chemistry, Kurukshetra University, Kurukshetra, 136119, Haryana, India.
| | - Sohan Lal
- Department of Chemistry, Kurukshetra University, Kurukshetra, 136119, Haryana, India
| | - Ashwani Kumar
- Department of Pharmaceutical Sciences, GJUS&T, Hisar, -125001, India
| | - Devender Singh
- Department of Chemistry, Maharshi Dayanand University, Rohtak, India, 124001
| | - Harish Kumar
- Department of Chemistry, School of Basic Sciences, Central University Haryana, Mahendergarh, India
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Toropova AP, Toropov AA. The coefficient of conformism of a correlative prediction (CCCP): Building up reliable nano-QSPRs/QSARs for endpoints of nanoparticles in different experimental conditions encoded via quasi-SMILES. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 927:172119. [PMID: 38569951 DOI: 10.1016/j.scitotenv.2024.172119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 03/12/2024] [Accepted: 03/29/2024] [Indexed: 04/05/2024]
Abstract
Simulation of the physicochemical and biochemical behavior of nanomaterials has its own specifics. However, the main goal of modeling for both traditional substances and nanomaterials is the same. This is an ecologic risk assessment. The universal indicator of toxicity is the n-octanol/water partition coefficient. Mutagenicity indicates the possibility of future undesirable environmental effects, possibly greater than toxicity. Models have been proposed for the octanol/water distribution coefficient of gold nanoparticles and the mutagenicity of silver nanoparticles. Unlike the previous studies, here the models are built using an updated scheme, which includes two improvements. Firstly, the computing involves a new criterion for prediction potential, the so-called coefficient of conformism of a correlative prediction (CCCP); secondly, the Las Vegas algorithm is used to select the potentially most promising models from a group of models obtained by the Monte Carlo algorithm. Apparently, CCCP is a measure of the predictive potential (not only correlation). This can give an advantage in developing a model in comparison to using the classic determination coefficient. Likely, CCCP can be more informative than the classical determination coefficient. The Las Vegas algorithm is able to improve the model obtained by the Monte Carlo method.
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Affiliation(s)
- Alla P Toropova
- Laboratory of Environmental Chemistry and Toxicology, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via Mario Negri 2, 20156 Milano, Italy.
| | - Andrey A Toropov
- Laboratory of Environmental Chemistry and Toxicology, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via Mario Negri 2, 20156 Milano, Italy
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Vukomanović P, Stefanović M, Stevanović JM, Petrić A, Trenkić M, Andrejević L, Lazarević M, Sokolović D, Veselinović AM. Monte Carlo Optimization Method Based QSAR Modeling of Placental Barrier Permeability. Pharm Res 2024; 41:493-500. [PMID: 38337105 DOI: 10.1007/s11095-024-03675-5] [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: 11/01/2023] [Accepted: 01/30/2024] [Indexed: 02/12/2024]
Abstract
PURPOSE In order to ensure that drug administration is safe during pregnancy, it is crucial to have the possibility to predict the placental permeability of drugs in humans. The experimental method which is most widely used for the said purpose is in vitro human placental perfusion, though the approach is highly expensive and time consuming. Quantitative structure-activity relationship (QSAR) modeling represents a powerful tool for the assessment of the drug placental transfer, and can be successfully employed to be an alternative in in vitro experiments. METHODS The conformation-independent QSAR models covered in the present study were developed through the use of the SMILES notation descriptors and local molecular graph invariants. What is more, the Monte Carlo optimization method, was used in the test sets and the training sets as the model developer with three independent molecular splits. RESULTS A range of different statistical parameters was used to validate the developed QSAR model, including the standard error of estimation, mean absolute error, root-mean-square error (RMSE), correlation coefficient, cross-validated correlation coefficient, Fisher ratio, MAE-based metrics and the correlation ideality index. Once the mentioned statistical methods were employed, an excellent predictive potential and robustness of the developed QSAR model was demonstrated. In addition, the molecular fragments, which are derived from the SMILES notation descriptors accounting for the decrease or increase in the investigated activity, were revealed. CONCLUSION The presented QSAR modeling can be an invaluable tool for the high-throughput screening of the placental permeability of drugs.
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Affiliation(s)
- Predrag Vukomanović
- Faculty of Medicine, University of Niš, Niš, Serbia
- Clinic for Gynecology and Obstetrics, University Clinical Centre of Niš, Niš, Serbia
| | - Milan Stefanović
- Faculty of Medicine, University of Niš, Niš, Serbia
- Clinic for Gynecology and Obstetrics, University Clinical Centre of Niš, Niš, Serbia
| | - Jelena Milošević Stevanović
- Faculty of Medicine, University of Niš, Niš, Serbia
- Clinic for Gynecology and Obstetrics, University Clinical Centre of Niš, Niš, Serbia
| | - Aleksandra Petrić
- Faculty of Medicine, University of Niš, Niš, Serbia
- Clinic for Gynecology and Obstetrics, University Clinical Centre of Niš, Niš, Serbia
| | - Milan Trenkić
- Faculty of Medicine, University of Niš, Niš, Serbia
- Clinic for Gynecology and Obstetrics, University Clinical Centre of Niš, Niš, Serbia
| | - Lazar Andrejević
- COVID Hospital, University Clinical Centre of Niš, Kruševac, Serbia
| | - Milan Lazarević
- Faculty of Medicine, University of Niš, Niš, Serbia
- Clinic for Cardiovascular and Transplant Surgery, University Clinical Centre of Niš, Niš, Serbia
| | | | - Aleksandar M Veselinović
- Faculty of Medicine, Department of Chemistry, University of Niš, Bulevar Dr Zorana Đinđića 81, 18000, Niš, Serbia.
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Castillo-García EL, Cossio-Ramírez AL, Córdoba-Méndez ÓA, Loza-Mejía MA, Salazar JR, Chávez-Gutiérrez E, Bautista-Poblet G, Castillo-Mendieta NT, Moreno DA, García-Viguera C, Pinto-Almazán R, Almanza-Pérez JC, Gallardo JM, Guerra-Araiza C. In Silico and In Vivo Evaluation of the Maqui Berry ( Aristotelia chilensis (Mol.) Stuntz) on Biochemical Parameters and Oxidative Stress Markers in a Metabolic Syndrome Model. Metabolites 2023; 13:1189. [PMID: 38132871 PMCID: PMC10744843 DOI: 10.3390/metabo13121189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2023] [Revised: 11/25/2023] [Accepted: 12/01/2023] [Indexed: 12/23/2023] Open
Abstract
Metabolic syndrome (MetS) is a complex disease that includes metabolic and physiological alterations in various organs such as the heart, pancreas, liver, and brain. Reports indicate that blackberry consumption, such as maqui berry, has a beneficial effect on chronic diseases such as cardiovascular disease, obesity, and diabetes. In the present study, in vivo and in silico studies have been performed to evaluate the molecular mechanisms implied to improve the metabolic parameters of MetS. Fourteen-day administration of maqui berry reduces weight gain, blood fasting glucose, total blood cholesterol, triacylglycerides, insulin resistance, and blood pressure impairment in the diet-induced MetS model in male and female rats. In addition, in the serum of male and female rats, the administration of maqui berry (MB) improved the concentration of MDA, the activity of SOD, and the formation of carbonyls in the group subjected to the diet-induced MetS model. In silico studies revealed that delphinidin and its glycosylated derivatives could be ligands of some metabolic targets such as α-glucosidase, PPAR-α, and PPAR-γ, which are related to MetS parameters. The experimental results obtained in the study suggest that even at low systemic concentrations, anthocyanin glycosides and aglycones could simultaneously act on different targets related to MetS. Therefore, these molecules could be used as coadjuvants in pharmacological interventions or as templates for designing new multitarget molecules to manage patients with MetS.
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Affiliation(s)
- Emily Leonela Castillo-García
- Unidad de Investigación Médica en Farmacología, Hospital de Especialidades Dr. Bernardo Sepúlveda, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Mexico City 06720, Mexico; (E.L.C.-G.); (G.B.-P.)
- Doctorado en Ciencias Biológicas y de la Salud, Universidad Autónoma Metropolitana, Mexico City 52919, Mexico
| | - Ana Lizzet Cossio-Ramírez
- Maestría en Ciencias de la Salud, Sección de Estudios de Posgrado e Investigación, Escuela Superior de Medicina, Instituto Politécnico Nacional, Mexico City 11340, Mexico;
| | - Óscar Arturo Córdoba-Méndez
- Design, Isolation, and Synthesis of Bioactive Molecules Research Group, Chemical Sciences School, Universidad La Salle-México, Benjamín Franklin 45, Mexico City 06140, Mexico; (Ó.A.C.-M.); (M.A.L.-M.); (J.R.S.)
| | - Marco A. Loza-Mejía
- Design, Isolation, and Synthesis of Bioactive Molecules Research Group, Chemical Sciences School, Universidad La Salle-México, Benjamín Franklin 45, Mexico City 06140, Mexico; (Ó.A.C.-M.); (M.A.L.-M.); (J.R.S.)
| | - Juan Rodrigo Salazar
- Design, Isolation, and Synthesis of Bioactive Molecules Research Group, Chemical Sciences School, Universidad La Salle-México, Benjamín Franklin 45, Mexico City 06140, Mexico; (Ó.A.C.-M.); (M.A.L.-M.); (J.R.S.)
| | - Edwin Chávez-Gutiérrez
- Doctorado en Ciencias en Biomedicina y Biotecnología Molecular, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Prolongación Manuel Carpio y Plan de Ayala s/n, Mexico City 11340, Mexico;
| | - Guadalupe Bautista-Poblet
- Unidad de Investigación Médica en Farmacología, Hospital de Especialidades Dr. Bernardo Sepúlveda, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Mexico City 06720, Mexico; (E.L.C.-G.); (G.B.-P.)
- Doctorado en Ciencias Biológicas y de la Salud, Universidad Autónoma Metropolitana, Mexico City 52919, Mexico
| | - Nadia Tzayaka Castillo-Mendieta
- Postdoctorate-Conacyt-Unidad de Investigación Médica en Enfermedades Neurologicas, Hospital de Especialidades, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Av. Cuauhtémoc 330 Col. Doctores, Mexico City 06725, Mexico;
| | - Diego A. Moreno
- Laboratorio de Fitoquímica y Alimentos Saludables (LabFAS), CEBAS, CSIC. Campus Universitario de Espinardo-25, E-30100 Murcia, Spain; (D.A.M.); (C.G.-V.)
| | - Cristina García-Viguera
- Laboratorio de Fitoquímica y Alimentos Saludables (LabFAS), CEBAS, CSIC. Campus Universitario de Espinardo-25, E-30100 Murcia, Spain; (D.A.M.); (C.G.-V.)
| | - Rodolfo Pinto-Almazán
- Sección de Estudios de Posgrado e Investigación, Escuela Superior de Medicina, Instituto Politécnico Nacional, Plan de San Luis y Díaz Mirón, Mexico City 11340, Mexico
| | - Julio César Almanza-Pérez
- Laboratorio de Farmacologia, Departamento de Ciencias de la Salud, DCBS, UAM-I, Mexico City 09310, Mexico;
| | - Juan Manuel Gallardo
- Unidad de Investigación Médica en Enfermedades Nefrológicas, Hospital de Especialidades, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Mexico City 06720, Mexico;
| | - Christian Guerra-Araiza
- Unidad de Investigación Médica en Farmacología, Hospital de Especialidades Dr. Bernardo Sepúlveda, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Mexico City 06720, Mexico; (E.L.C.-G.); (G.B.-P.)
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Toropov AA, Toropova AP, Roncaglioni A, Benfenati E, Leszczynska D, Leszczynski J. The System of Self-Consistent Models: The Case of Henry's Law Constants. Molecules 2023; 28:7231. [PMID: 37894710 PMCID: PMC10609047 DOI: 10.3390/molecules28207231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 10/07/2023] [Accepted: 10/21/2023] [Indexed: 10/29/2023] Open
Abstract
Data on Henry's law constants make it possible to systematize geochemical conditions affecting atmosphere status and consequently triggering climate changes. The constants of Henry's law are desired for assessing the processes related to atmospheric contaminations caused by pollutants. The most important are those that are capable of long-term movements over long distances. This ability is closely related to the values of Henry's law constants. Chemical changes in gaseous mixtures affect the fate of atmospheric pollutants and ecology, climate, and human health. Since the number of organic compounds present in the atmosphere is extremely large, it is desirable to develop models suitable for predictions for the large pool of organic molecules that may be present in the atmosphere. Here, we report the development of such a model for Henry's law constants predictions of 29,439 compounds using the CORAL software (2023). The statistical quality of the model is characterized by the value of the coefficient of determination for the training and validation sets of about 0.81 (on average).
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Affiliation(s)
- Andrey A. Toropov
- Laboratory of Environmental Chemistry and Toxicology, Department of Environmental Health Science, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via Mario Negri 2, 20156 Milano, Italy; (A.A.T.); (A.R.); (E.B.)
| | - Alla P. Toropova
- Laboratory of Environmental Chemistry and Toxicology, Department of Environmental Health Science, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via Mario Negri 2, 20156 Milano, Italy; (A.A.T.); (A.R.); (E.B.)
| | - Alessandra Roncaglioni
- Laboratory of Environmental Chemistry and Toxicology, Department of Environmental Health Science, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via Mario Negri 2, 20156 Milano, Italy; (A.A.T.); (A.R.); (E.B.)
| | - Emilio Benfenati
- Laboratory of Environmental Chemistry and Toxicology, Department of Environmental Health Science, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via Mario Negri 2, 20156 Milano, Italy; (A.A.T.); (A.R.); (E.B.)
| | - Danuta Leszczynska
- Interdisciplinary Nanotoxicity Center, Department of Civil and Environmental Engineering, Jackson State University, 1325 Lynch Street, Jackson, MS 39217-0510, USA;
| | - Jerzy Leszczynski
- Interdisciplinary Nanotoxicity Center, Department of Chemistry, Physics and Atmospheric Sciences, Jackson State University, 1400 J. R. Lynch Street, Jackson, MS 39217-0510, USA;
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