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196 result(s) for "Dubey, Amit"
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Investigation of antituberculosis, antimicrobial, anti-inflammatory efficacies of newly synthesized transition metal(II) complexes of hydrazone ligands: structural elucidation and theoretical studies
Tuberculosis disease is a serious threat to humans and spreading quickly worldwide, therefore, to find a potent drug, the synthesis of hydrazone ligands endowed Co(II), Ni(II), Cu(II), Zn(II) metal complexes were carried out and well characterized by numerous spectral and analytical techniques. The octahedral geometry of the complexes was confirmed by spectral analysis. Further, in vitro antituberculosis efficacy of the compounds (1–10) revealed that complexes (6), (9), (10) have highest potency to control TB malformation with 0.0028 ± 0.0013–0.0063 ± 0.0013 µmol/mL MIC value while Zn(II) complex (10) (0.0028 ± 0.0013 µmol/mL) has nearly four time potent to suppress TB disease in comparison of streptomycin (0.0107 ± 0.0011 µmol/mL). The antimicrobial and anti-inflammatory evaluations revealed that the complex (10) is more active with lowest MIC (0.0057–0.0114 µmol/mL) and IC 50 (7.14 ± 0.05 µM) values, correspondingly which are comparable with their respective standard drugs. Furthermore, the theoretical studies such as molecular docking, DFT, MESP and ADMET were employed to authenticate the potency of HL 2 hydrazone ligand (2) and its metal complexes (7–10) which revealed that the zinc(II) complex (10) might be utilized as novel drug candidate for tuberculosis dysfunctions. So, the present research gives a new insight for in vivo investigation of the compounds.
Drug repurposing for ligand-induced rearrangement of Sirt2 active site-based inhibitors via molecular modeling and quantum mechanics calculations
Sirtuin 2 (Sirt2) nicotinamide adenine dinucleotide-dependent deacetylase enzyme has been reported to alter diverse biological functions in the cells and onset of diseases, including cancer, aging, and neurodegenerative diseases, which implicate the regulation of Sirt2 function as a potential drug target. Available Sirt2 inhibitors or modulators exhibit insufficient specificity and potency, and even partially contradictory Sirt2 effects were described for the available inhibitors. Herein, we applied computational screening and evaluation of FDA-approved drugs for highly selective modulation of Sirt2 activity via a unique inhibitory mechanism as reported earlier for SirReal2 inhibitor. Application of stringent molecular docking results in the identification of 48 FDA-approved drugs as selective putative inhibitors of Sirt2, but only top 10 drugs with docking scores > − 11 kcal/mol were considered in reference to SirReal2 inhibitor for computational analysis. The molecular dynamics simulations and post-simulation analysis of Sirt2-drug complexes revealed substantial stability for Fluphenazine and Nintedanib with Sirt2. Additionally, developed 3D-QSAR-models also support the inhibitory potential of drugs, which exclusively revealed highest activities for Nintedanib (pIC50 ≥ 5.90 µM). Conclusively, screened FDA-approved drugs were advocated as promising agents for Sirt2 inhibition and required in vitro investigation for Sirt2 targeted drug development.
Epigallocatechin-3-Gallate Therapeutic Potential in Cancer: Mechanism of Action and Clinical Implications
Cellular signaling pathways involved in the maintenance of the equilibrium between cell proliferation and apoptosis have emerged as rational targets that can be exploited in the prevention and treatment of cancer. Epigallocatechin-3-gallate (EGCG) is the most abundant phenolic compound found in green tea. It has been shown to regulate multiple crucial cellular signaling pathways, including those mediated by EGFR, JAK-STAT, MAPKs, NF-κB, PI3K-AKT-mTOR, and others. Deregulation of the abovementioned pathways is involved in the pathophysiology of cancer. It has been demonstrated that EGCG may exert anti-proliferative, anti-inflammatory, and apoptosis-inducing effects or induce epigenetic changes. Furthermore, preclinical and clinical studies suggest that EGCG may be used in the treatment of numerous disorders, including cancer. This review aims to summarize the existing knowledge regarding the biological properties of EGCG, especially in the context of cancer treatment and prophylaxis.
Improving Diabetes Detection Using Machine Learning Random Forest Algorithm
Due to current lifestyle most of the peoples suffering from numerous diseases, heart disease, diabetes, obesity, etc. diabetes is one of the disease is found at an every age group of peoples nowadays. Here discussion is based on diabetes disease detection at an early stage and finding the pattern or recognizing diseases in patients. Artificial intelligence techniques very popular in health care sector, AI based techniques such as machine learning and deep learning techniques are having very tremendous growth in health care and information security sectors for providing best results than traditional techniques. In this paper, we discuss comparative performance analysis between different machine learning techniques among them random forest classifier gives best performance than other techniques.
Cation-Stress-Responsive Transcription Factors SltA and CrzA Regulate Morphogenetic Processes and Pathogenicity of Colletotrichum gloeosporioides
Growth of Colletotrichum gloeosporioides in the presence of cation salts NaCl and KCl inhibited fungal growth and anthracnose symptom of colonization. Previous reports indicate that adaptation of Aspergillus nidulans to salt- and osmotic-stress conditions revealed the role of zinc-finger transcription factors SltA and CrzA in cation homeostasis. Homologs of A. nidulans SltA and CrzA were identified in C. gloeosporioides. The C. gloeosporioides CrzA homolog is a 682-amino acid protein, which contains a C2H2 zinc finger DNA-binding domain that is highly conserved among CrzA proteins from yeast and filamentous fungi. The C. gloeosporioides SltA homolog encodes a 775-amino acid protein with strong similarity to A. nidulans SltA and Trichoderma reesei ACE1, and highest conservation in the three zinc-finger regions with almost no changes compared to ACE1 sequences. Knockout of C. gloeosporioides crzA (ΔcrzA) resulted in a phenotype with inhibited growth, sporulation, germination and appressorium formation, indicating the importance of this calciu006D-activated transcription factor in regulating these morphogenetic processes. In contrast, knockout of C. gloeosporioides sltA (ΔsltA) mainly inhibited appressorium formation. Both mutants had reduced pathogenicity on mango and avocado fruit. Inhibition of the different morphogenetic stages in the ΔcrzA mutant was accompanied by drastic inhibition of chitin synthase A and B and glucan synthase, which was partially restored with Ca2+ supplementation. Inhibition of appressorium formation in ΔsltA mutants was accompanied by downregulation of the MAP kinase pmk1 and carnitine acetyl transferase (cat1), genes involved in appressorium formation and colonization, which was restored by Ca2+ supplementation. Furthermore, exposure of C. gloeosporioides ΔcrzA or ΔsltA mutants to cations such as Na+, K+ and Li+ at concentrations that the wild type C. gloeosporioides is not affected had further adverse morphogenetic effects on C. gloeosporioides which were partially or fully restored by Ca2+. Overall results suggest that both genes modulating alkali cation homeostasis have significant morphogenetic effects that reduce C. gloeosporioides colonization.
Exploration of Microbially Derived Natural Compounds against Monkeypox Virus as Viral Core Cysteine Proteinase Inhibitors
Monkeypox virus (MPXV) is a member of the Orthopoxvirus genus and the Poxviridae family, which instigated a rising epidemic called monkeypox disease. Proteinases are majorly engaged in viral propagation by catalyzing the cleavage of precursor polyproteins. Therefore, proteinase is essential for monkeypox and a critical drug target. In this study, high-throughput virtual screening (HTVS) and molecular dynamics simulation were applied to detect the potential natural compounds against the proteinase of the monkeypox virus. Here, 32,552 natural products were screened, and the top five compounds were selected after implementing the HTVS and molecular docking protocols in series. Gallicynoic Acid F showed the minimum binding score of −10.56 kcal/mole in the extra precision scoring method, which reflected the highest binding with the protein. The top five compounds showed binding scores ≤−8.98 kcal/mole. These compound complexes were tested under 100 ns molecular dynamics simulation, and Vaccinol M showed the most stable and consistent RMSD trend in the range of 2 Å to 3 Å. Later, MM/GBSA binding free energy and principal component analysis were performed on the top five compounds to validate the stability of selected compound complexes. Moreover, the ligands Gallicynoic Acid F and H2-Erythro-Neopterin showed the lowest binding free energies of −61.42 kcal/mol and −61.09 kcal/mol, respectively. Compared to the native ligand TTP-6171 (ΔGBind = −53.86 kcal/mol), these two compounds showed preferable binding free energy, suggesting inhibitory application against MPXV proteinase. This study proposed natural molecules as a therapeutic solution to control monkeypox disease.
Computational repurposing of drugs against dengue virus targeting NS5 and methyltransferase proteins
Dengue virus (DENV) remains a significant global health challenge, infecting approximately 400 million individuals annually. This study utilizes molecular docking and molecular dynamics (MD) simulations to investigate the binding dynamics and stability of Avermectin and Doramectin with DENV Methyltransferase (MTase) and NS5 proteins. Root Mean Squared Deviation (RMSD) analysis revealed stable complexes, with values ranging from 2.5 to 3.2 Å. The radius of gyration (Rg) values stabilized around 20–23 Å, indicating compact structural integrity. Binding free energy calculations demonstrated that Doramectin exhibited stronger predicted binding and may offer improved inhibitory potential, with ΔG values of -13.9 ± 2.8 kcal/mol for MTase and − 23.8 ± 0.82 kcal/mol for NS5, compared to Avermectin (-5.8 ± 1.2 kcal/mol and − 4.8 ± 0.52 kcal/mol, respectively). Dynamic Cross-Correlation Matrix (DCCM) analysis identified critical correlated motions in key binding residues, such as Gly79 and Arg78 in MTase and Gly104 and Arg155 in NS5, emphasizing Doramectin’s role in stabilizing protein conformations. Key interactions through hydrogen bonding and residue mapping, involving Ser50, Gly52, and Asp141, played pivotal roles in inhibitor binding. This study highlights Doramectin as a promising candidate for further investigation in the treatment of Dengue.
In vitro and in silico studies on the structural and biochemical insight of anti-biofilm activity of andrograpanin from Andrographis paniculata against Pseudomonas aeruginosa
Microbial infections have become a global threat to drug-tolerant phenomena due to their biofilm formatting capacity. In many cases, conventional antimicrobial drugs fail to combat the infection, thus necessitating the discovery of some alternative medicine. Over several decades, plant metabolites have played a critical role in treating a broad spectrum of microbial infections due to its low cytotoxicity. Andrograpanin, a secondary metabolite, is a diterpenoid present in the leaf of Andrographis paniculata. In this study, andrograpanin (0.15 mM) exhibited significant inhibition on biofilm production by Pseudomonas aeruginosa in the presence of gentamicin (0.0084 mM). The impaired production of extracellular polymeric substances and several virulence factors of Pseudomonas aeruginosa were investigated to understand the mechanism of action mediated by andrograpanin. The structural alteration of biofilm was evaluated by using fluorescence microscopy, atomic force microscopy and field emission scanning electron microscopy. The in silico molecular simulation studies predicted interaction of andrograpanin with quorum sensing proteins such as RhlI, LasI, LasR, and swarming motility protein BswR of Pseudomonas aeruginosa. Overall the studies indicate that andrograpanin could be used as a therapeutic molecule against biofilm development by Pseudomonas aeruginosa.Graphic abstract
A multi-targeted computational drug discovery approach for repurposing tetracyclines against monkeypox virus
Monkeypox viral infection is an emerging threat and a major concern for the human population. The lack of drug molecules to treat this disease may worsen the problem. Identifying potential drug targets can significantly improve the process of developing potent drug molecules for treating monkeypox. The proteins responsible for viral replication are attractive drug targets. Identifying potential inhibitors from known drug molecules that target these proteins can be key to finding a cure for monkeypox. In this work, two viral proteins, DNA-dependent RNA polymerase (DdRp) and viral core cysteine proteinase, were considered as potential drug targets. Sixteen antibiotic drugs from the tetracycline class were screened against both viral proteins through high-throughput virtual screening. These tetracycline class of antibiotic drugs have the ability to inhibit bacterial protein synthesis, which makes these antibiotics drugs a prominent candidate for drug repurposing. Based on the screening result obtained against DdRp, top two compounds, namely Tigecycline and Eravacycline with docking scores of − 8.88 and − 7.87 kcal/mol, respectively, were selected for further analysis. Omadacycline and minocycline, with docking scores of − 10.60 and − 7.51 kcal/mol, are the top two compounds obtained after screening proteinase with the drug library. These compounds, along with reference compounds GTP for DdRp and tecovirimat for proteinase, were used to form protein–ligand complexes, followed by their evaluation through a 300 ns molecular dynamic simulation. The MM/GBSA binding free energy calculation and principal components analysis of these selected complexes were also conducted for understanding the dynamic stability and binding affinity of these compounds with respective target proteins. Overall, this study demonstrates the repurposing of tetracycline-derived drugs as a therapeutic solution for monkeypox viral infection.
Fast kinetics of environmentally induced α-synuclein aggregation mediated by structural alteration in NAC region and result in structure dependent cytotoxicity
Aggregation of α-synuclein (α-syn) is associated with the manifestation of various pathogenic synucleinopathies, including Parkinson’s disease attributed to both genetic and environmental stress factors. The initial events triggering α-syn aggregation and disease initiation due to environmental stress factors are still largely unknown. Here, to understand the mechanism of misfolding and aggregation initiation, we induced α-syn aggregation with rotenone, an established chemical inducer of PD like symptoms. We found that rotenone accelerates the formation of structurally distinct oligomers and fibrils that act as templates and increase the formation of conformers capable of spreading to the neighboring neuronal cells. Molecular dynamics simulations and NMR studies revealed the involvement of NAC region and formation of helical conformations resulting in structural variations in oligomers and fibrils. These structural variations affect the cytotoxic potential of oligomers and fibrils, where, the beta sheet rich oligomers and fibrils alter the membrane potential of neuronal cells and lead to early apoptosis. Our results describe the initial mechanistic events in pathogenic protein aggregation, where initial structural alterations in response to external stress factors dictate the toxicity of resulting conformers. This information will further provide insights in the understanding of protein aggregation, disease progression and pathogenesis.