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1.
Biomed Res Int ; 2022: 4661491, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36225979

RESUMO

Tuberculosis (T.B.) is a disease that occurs due to infection by the bacterium, Mycobacterium tuberculosis (Mtb), which is responsible for millions of deaths every year. Due to the emergence of multidrug and extensive drug-resistant Mtb strains, there is an urgent need to develop more powerful drugs for inclusion in the current tuberculosis treatment regime. In this study, 1778 molecules from four medicinal plants, Azadirachta indica, Camellia sinensis, Adhatoda vasica, and Ginkgo biloba, were selected and docked against two chosen drug targets, namely, Glutamine Synthetase (G.S.) and Isocitrate Lyase (I.C.L.). Molecular Docking was performed using the Glide module of the SchrÓ§dinger suite to identify the best-performing ligands; the complexes formed by the best-performing ligands were further investigated for their binding stability via Molecular Dynamics Simulation of 100 ns. The present study suggests that Azadiradione from Azadirachta indica possesses the potential to inhibit Glutamine Synthetase and Isocitrate Lyase of M. tuberculosis concomitantly. The excellent docking score of the ligand and the stability of receptor-ligand complexes, coupled with the complete pharmacokinetic profile of Azadiradione, support the proposal of the small molecule, Azadiradione as a novel antitubercular agent. Further, wet lab analysis of Azadiradione may lead to the possible discovery of a novel antitubercular drug.


Assuntos
Mycobacterium tuberculosis , Tuberculose , Antituberculosos/farmacologia , Antituberculosos/uso terapêutico , Glutamato-Amônia Ligase/metabolismo , Humanos , Isocitrato Liase/química , Ligantes , Limoninas , Simulação de Acoplamento Molecular , Simulação de Dinâmica Molecular , Mycobacterium tuberculosis/metabolismo , Tuberculose/tratamento farmacológico
2.
Front Pharmacol ; 13: 805344, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35462888

RESUMO

SARS-CoV-2 is the virus responsible for causing COVID-19 disease in humans, creating the recent pandemic across the world, where lower production of Type I Interferon (IFN-I) is associated with the deadly form of the disease. Membrane protein or SARS-CoV-2 M proteins are known to be the major reason behind the lower production of human IFN-I by suppressing the expression of IFNß and Interferon Stimulated Genes. In this study, 7,832 compounds from 32 medicinal plants of India possessing traditional knowledge linkage with pneumonia-like disease treatment, were screened against the Homology-Modelled structure of SARS-CoV-2 M protein with the objective of identifying some active phytochemicals as inhibitors. The entire study was carried out using different modules of Schrodinger Suite 2020-3. During the docking of the phytochemicals against the SARS-CoV-2 M protein, a compound, ZIN1722 from Zingiber officinale showed the best binding affinity with the receptor with a Glide Docking Score of -5.752 and Glide gscore of -5.789. In order to study the binding stability, the complex between the SARS-CoV-2 M protein and ZIN1722 was subjected to 50 ns Molecular Dynamics simulation using Desmond module of Schrodinger suite 2020-3, during which the receptor-ligand complex showed substantial stability after 32 ns of MD Simulation. The molecule ZIN1722 also showed promising results during ADME-Tox analysis performed using Swiss ADME and pkCSM. With all the findings of this extensive computational study, the compound ZIN1722 is proposed as a potential inhibitor to the SARS-CoV-2 M protein, which may subsequently prevent the immunosuppression mechanism in the human body during the SARS-CoV-2 virus infection. Further studies based on this work would pave the way towards the identification of an effective therapeutic regime for the treatment and management of SARS-CoV-2 infection in a precise and sustainable manner.

3.
Mol Divers ; 26(4): 1933-1955, 2022 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-34554395

RESUMO

Breast and stomach cancer is reported as a leading cause for human mortality across the world. The overexpression of receptor tyrosine kinase (RTK) proteins, namely the human epidermal growth factor receptor2 (HER2) and the vascular endothelial growth factor receptor2 (VEGFR2), is reported to be responsible for development and metastasis of breast and stomach cancer. Although several synthetic tyrosine kinase inhibitors (TKIs) as drug candidates targeting RTK-HER2 and VEGFR2 are currently available in the market, these are expensive with the reported side effects. This confers an opportunity for development of alternative novel tyrosine kinase inhibitors (TKIs) for RTK-HER2 and VEGFR2 receptors from the botanical sources. In the present study, we characterized 47 bioactive phytocompounds from the methanol extracts of the rhizomes of Asiatic traditional medicinal herbs-Panax bipinnatifidus and Panax pseudoginseng, of Indian Himalayan landraces using HPLC, GC-MS and high-sensitivity LC-MS tools. We performed molecular docking and molecular dynamics simulation analysis using Schrödinger suite 2020-3 to confirm the TKI phytocompounds showing the best binding affinity towards RTK-HER2 and VEGFR2 receptors. The results of molecular docking studies confirmed that the phytocompound (ligand) luteolin 7-O-glucoside (IHP15) showed the highest binding affinity towards receptor HER2 (PDB ID: 3PP0) with docking score and Glide g score (G-Score) of - 13.272, while chlorogenic acid (IHP12) showed the highest binding affinity towards receptor VEGFR2 (PDB ID: 4AGC) with docking score and Glide g score (G-Score) of - 10.673. Molecular dynamics (MD) simulation analysis carried out for 100 ns has confirmed strong binding interaction between the ligand and receptor complex [luteolin 7-O-glucoside (IHP15) and HER2 (PDB ID: 3PP0)] and is found to be stabilized within 40 to 100 ns of MD simulation, whereas ligand-receptor complex [chlorogenic acid (IPH12) and VEGFR2 (PDB ID: 4AGC)] also showed strong binding interaction and is found to be stabilized within 18-30 ns but slightly deviated during 100 ns of MD simulation. In silico ADME-Tox study using SwissADME revealed that the ligands luteolin 7-O-glucoside (IHP15) and chlorogenic acid (IHP12) have passed majority parameters of the common drug discovery rules. The present study has confirmed luteolin 7-O-glucoside (IHP15) and chlorogenic acid (IHP12) as potential tyrosine kinase inhibitors (TKIs) which were found to inhibit RTKs-HER2 and VEGFR2 receptor proteins, and thus paving the way for development of alternative potential TKIs (drug molecules) for treatment of HER2- and VEGFR2-positive breast and stomach cancer.


Assuntos
Panax , Inibidores de Proteínas Quinases , Ácido Clorogênico , Glucosídeos , Humanos , Ligantes , Luteolina , Simulação de Acoplamento Molecular , Simulação de Dinâmica Molecular , Panax/química , Inibidores de Proteínas Quinases/química , Inibidores de Proteínas Quinases/farmacologia , Receptores Proteína Tirosina Quinases/antagonistas & inibidores , Receptor ErbB-2/antagonistas & inibidores , Neoplasias Gástricas , Receptor 2 de Fatores de Crescimento do Endotélio Vascular/antagonistas & inibidores
4.
Mol Divers ; 25(3): 1963-1977, 2021 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-33856591

RESUMO

The Coronavirus disease 2019 (COVID-19), caused by the novel coronavirus, SARS-CoV-2, has recently emerged as a pandemic. Here, an attempt has been made through in-silico high throughput screening to explore the antiviral compounds from traditionally used plants for antiviral treatments in India namely, Tea, Neem and Turmeric, as potential inhibitors of two widely studied viral proteases, main protease (Mpro) and papain-like protease (PLpro) of the SARS-CoV-2. Molecular docking study using BIOVIA Discovery Studio 2018 revealed, (-)-epicatechin-3-O-gallate (ECG), a tea polyphenol has a binding affinity toward both the selected receptors, with the lowest CDocker energy - 46.22 kcal mol-1 for SARS-CoV-2 Mpro and CDocker energy - 44.72 kcal mol-1 for SARS-CoV-2 PLpro, respectively. The SARS-CoV-2 Mpro complexed with (-)-epicatechin-3-O-gallate, which had shown the best binding affinity was subjected to molecular dynamics simulations to validate its binding affinity, during which, the root-mean-square-deviation values of SARS-CoV-2 Mpro-Co-crystal ligand (N3) and SARS-CoV-2 Mpro- (-)-epicatechin-3-O-gallate systems were found to be more stable than SARS-CoV-2 Mpro system. Further, (-)-epicatechin-3-O-gallate was subjected to QSAR analysis which predicted IC50 of 0.3281 nM against SARS-CoV-2 Mpro. Overall, (-)-epicatechin-3-O-gallate showed a potential binding affinity with SARS-CoV-2 Mpro and could be proposed as a potential natural compound for COVID-19 treatment.


Assuntos
Proteases 3C de Coronavírus/antagonistas & inibidores , Proteases Semelhantes à Papaína de Coronavírus/antagonistas & inibidores , Simulação de Dinâmica Molecular , Extratos Vegetais/farmacologia , Inibidores de Proteases/farmacologia , SARS-CoV-2/enzimologia , Proteases 3C de Coronavírus/química , Proteases 3C de Coronavírus/metabolismo , Proteases Semelhantes à Papaína de Coronavírus/química , Proteases Semelhantes à Papaína de Coronavírus/metabolismo , Extratos Vegetais/química , Extratos Vegetais/metabolismo , Inibidores de Proteases/química , Inibidores de Proteases/metabolismo , Ligação Proteica , Conformação Proteica , SARS-CoV-2/efeitos dos fármacos , Termodinâmica
5.
Folia Microbiol (Praha) ; 57(1): 47-52, 2012 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-22193887

RESUMO

Genetic diversity among 43 petroleum hydrocarbon-degrading Pseudomonas belonging to four different species and the type strain Pseudomonas aeruginosa MTCC1034 was assessed by using restriction fragment length polymorphism (RFLP) of polymerase chain reaction (PCR)-amplified 16S-23S rDNA intergenic spacer regions (ISRs) polymorphism. PCR amplification from all Pseudomonas species yielded almost identical ISR amplicons of "?" 800 bp and in nested PCR of "?" 550 bp. The RFLP analysis with MboI and AluI revealed considerable intraspecific variations within the Pseudomonas species. The dendrogram constructed on the basis of the PCR-RFLP patterns of 16S-23S rDNA intergenic spacer regions differentiated all the species into seven different clusters.


Assuntos
Técnicas de Tipagem Bacteriana/métodos , DNA Espaçador Ribossômico/genética , Hidrocarbonetos/metabolismo , Polimorfismo de Fragmento de Restrição , Pseudomonas/isolamento & purificação , RNA Ribossômico 16S/genética , RNA Ribossômico 23S/genética , DNA Bacteriano/genética , Petróleo/microbiologia , Filogenia , Reação em Cadeia da Polimerase/métodos , Pseudomonas/classificação , Pseudomonas/genética , Pseudomonas/metabolismo
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