Combinatorial Chemistry & High Throughput Screening - Volume 24, Issue 6, 2021
Volume 24, Issue 6, 2021
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Acute Inflammation and Oxidative Stress Induced by Lipopolysaccharide and the Ameliorative Effect of Stingless Bee Honey
Background: Systemic acute inflammation is the hallmark of sepsis and is associated with multiple organ dysfunction. Objective: This study investigated the potential of Stingless Bee Honey (SBH) to suppress lipopolysaccharide (LPS)-induced systemic acute inflammation in rats and to reveal the probable mechanism of action. Methods: Rats received 4.6 and 9.2 g/kg SBH for 7 days followed by a single injection of LPS after which blood samples were taken 6h later. Results: LPS induced liver, kidney, heart, and lung injury, were manifested by increased serum transaminases, alkaline phosphatase, creatine kinase, creatinine, and urea, along with multiple histological alterations, particularly leukocyte infiltration. Pro-inflammatory cytokines were elevated in the serum, and NF-ΚB p65, p38 MAPK, and HMGB-1 were significantly increased in different tissues of LPS-challenged rats. SBH prevented tissue injury, ameliorated pro-inflammatory cytokines, and suppressed NF-ΚB p65, p38 MAPK, and HMGB-1 in rats that had received LPS. In addition, SBH diminished reactive oxygen species (ROS) production, lipid peroxidation, and oxidative DNA damage, and enhanced glutathione and Nrf2 in LPS-treated rats. Conclusion: SBH prevents systemic acute inflammation by suppressing NF-ΚB, p38 MAPK, HMGB-1, oxidative stress, and tissue injury in rats. Thus, SBH may represent an effective anti-inflammatory nutraceutical, pending further mechanistic studies.
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Effect of Visnagin on Altered Steroidogenesis and Spermatogenesis, and Testicular Injury Induced by the Heavy Metal Lead
Background: Lead (Pb) is an environmental pollutant causing serious health problems, including impairment of reproduction. Visnagin (VIS) is a furanochromone with promising antioxidant and anti-inflammatory effects; however, its protective efficacy against Pb toxicity has not been investigated. Objective: This study evaluated the protective effect of VIS on Pb reproductive toxicity, impaired steroidogenesis and spermatogenesis, oxidative stress and inflammation. Methods: Rats received VIS (30 or 60 mg/kg) and 50 mg/kg lead acetate for 3 weeks and blood and testes samples were collected. Results: Pb intoxication impaired the pituitary-testicular axis (PTA) manifested by the decreased serum levels of gonadotropins and testosterone. Pb decreased sperm count, motility and viability, increased sperm abnormalities, and downregulated the steroidogenesis markers StAR, CYP17A1, 3β-HSD and 17β-HSD in the testis of rats. VIS significantly increased serum gonadotropins and testosterone, alleviated sperm parameters and upregulated steroidogenesis. In addition, VIS decreased pro-inflammatory cytokines, testicular lipid peroxidation and DNA fragmentation, downregulated Bax, and enhanced antioxidants and Bcl-2. Conclusion: These results demonstrate the protective effect of VIS against Pb reproductive toxicity in rats. VIS improved serum gonadotropins and testosterone, enhanced steroidogenesis and spermatogenesis, and attenuated oxidative injury, inflammation and apoptosis. Therefore, VIS is a promising candidate for the protection against Pb-induced reproduction impairment.
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Evaluation of Insulin Resistance Induced Brain Tissue Dysfunction in Obese Dams and their Neonates: Role of Ipriflavone Amelioration
Background: Nonalcoholic steatohepatitis (NASH) is associated with activation of liver fibrogenesis and predisposes to cirrhosis and associated morbi-mortality. A high fat high cholesterol diet (HFD) was provided to female albino rats to establish a NASH model. It is well known that the offspring of obese mothers have an increased risk of obesity and diabetes. The present study aimed at evaluating the ameliorative effects of ipriflavone (IP) as a natural food supplement on lipid metabolism, improving insulin sensitivity, reducing oxidative stress and inflammation, modifying metabolic risk factors and/or reduce brain damage, in both neonates and their dams. Materials and Methods: The present aim was achieved by evaluating the oxidative stress and antioxidant defense system biomarkers, as thiobarbituric acid reactive substances (TBARS) and reduced glutathione (GSH), catalase, and superoxide dismutase (SOD) activities. In addition, the neurotransmitter acetylcholine (Ach) and acetylcholine esterase (AchE) activities, as well as levels of the apolipoprotein E4 (APOE4); β-secretase, hyper phosphor-tau and β-amyloid 42; 3-hydroxy- 3-methyl glutaryl coenzyme A reductase (HMG CoA R)” and COX-II by immunoblotting assays in the brain tissue of neonates and their dams in all the studied groups. Results: A very significant amelioration in acetylcholine and acetylcholine esterase neurotransmitters, Alzheimer’s makers (β-amyloid), antioxidants (reduced glutathione (GSH) contents, catalase (CAT) and superoxide dismutase (SOD); and inflammatory cytokines in NASH model is observed upon administrating ipriflavone (IP) as a natural food supplement. The multifunctional activities of ipriflavone as an antioxidant, anti-inflammatory and anti-insulin resistance drug were discussed and correlated with other investigations. Conclusion: Regarding steatohepatitis, the present study confirmed the anti-inflammatory effects of the ipriflavone (IP). Therefore, future studies should focus on hepatic fatty acid uptake, hepatic lipogenesis, and fatty acid oxidation and the role of IP in regulating hepatic fat metabolism. In addition, natural products like IP could be combined with the highly used pharmaceutical drugs to reduce the side effects of nonalcoholic steatohepatitis, and minimize progression of dementia. Moreover, the present study supports further attempts to heal the neural dysfunction via antioxidant and anti-inflammatory cascade activities using ipriflavone (IP).
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Diagnosis of Alzheimer's Disease Based on Deeply-Fused Nets
Authors: Chang Z. Chen, Qi Wu, Zuo Yong Li, Lei Xiao and Zhong Yi HuAim and Objective: Fast and accurate diagnosis of Alzheimer's disease is very important for the care and further treatment of patients. Along with the development of deep learning, impressive progress has also been made in the automatic diagnosis of AD. Most existing studies on automatic diagnosis are concerned with a single base network, whose accuracy for disease diagnosis still needs to be improved. This study was undertaken to propose a method to improve the accuracy of the automatic diagnosis of AD. Materials and Methods: MRI image data from the Alzheimer’s Disease Neuroimaging Initiative were used to train a deep learning model to achieve a computer-aided diagnosis of Alzheimer's disease. The data consisted of 138 with AD, 280 with mild cognitive impairment, and 138 normal controls. Here, a new deeply-fused net is proposed, which combines several deep convolutional neural networks, thereby avoiding the error of a single base network and increasing the classification accuracy and generalization capacity. Results: Experiments show that when differentiating between patients with AD, mild cognitive impairment, and normal controls on a subset of the ADNI database without data leakage, the new architecture improves the accuracy by about 4 percentage points as compared to a single standard based network. Conclusion: This new approach exhibits better performance, but there is still much to be done before its clinical application. In the future, greater research effort will be devoted to improving the performance of the deeply-fused net.
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The Study on the Active Ingredients and Potential Targets of Rice Bran Petroleum Ether Extracts for Treating Diabetes Based on Network Pharmacology
Authors: Xulong Huang, Mei Zhang, Hongmei Wu, Xiangpei Wang and Feng XuAim and Objective: In ancient China, rice bran was used to treat diabetes and hyperlipidemia. The aim of this paper is to explore the active compounds and underlying mechanism of Rice Bran Petroleum Ether extracts (RBPE) against diabetes using network pharmacology. Materials and Methods: Gas chromatography-mass spectrometer analysis was performed to identify the chemical composition in RBPE. Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform, Swiss Target Prediction database, BATMAN-TCM, comprehensive database of human genes and gene phenotypes, therapeutic target database, DurgBank and GeneCards database were used to screen targets. The “component-target-disease” interactive network was constructed by Cytoscape software. Gene ontology and pathways related to the targets were analyzed by ClueGO, and core targets were screened by the MCODE, and Autodock vina was used for molecular docking. Results: The compounds with a percentage greater than 1.0% were selected for subsequent analysis. The RBPE contains oleic acid, (E)-9-Octadecenoic acid ethyl ester, and other chemical components that can regulate insulin, mitogen-activated protein kinase 3, epidermal growth factor receptor, mitogen-activated protein kinase 1, and other genes, which were mainly related to Pathways in cancer, Human cytomegalovirus infection and AGE-RAGE signaling pathway in diabetic complications, etc. The affinity of the core compounds and the corresponding protein of the gene targets was good. Conclusion: The results of network pharmacology analysis indicate that the RBPE has multiple anti- diabetic ingredients, and RBPE exert anti-diabetic activity through multiple targets and signaling pathways. The present study can provide a scientific basis for further elucidating the mechanism of RBPE against diabetes.
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A Network Pharmacology Approach to Reveal the Underlying Mechanisms of Zuogui Yin in the Treatment of Male Infertility
Authors: Qi Zhao, Hengheng Dai, Jisheng Wang, Fei Yan, Guejin Jang, Jianxiong Ma, Bin Wang and Haisong LiBackground and Aim: Traditional Chinese medicine (TCM), as a complementary and alternative therapy, has played increasingly important roles in clinical treatment and disease prevention. Zuogui Yin (ZGY) is one of the well-known TCM prescriptions used for the treatment of male infertility. To fully reveal the potential mechanisms underlying the therapeutic effects of ZGY on male infertility, a network pharmacology approach was conducted at the molecular level. Methods: Network pharmacology approach was used in this study, which mainly included active compound screening, target prediction, gene enrichment analysis, and network analysis. Results: The network analysis successfully identified 148 potential active ingredients of ZGY and 155 predicted targets that were associated with male infertility. ZGY might play a role in the treatment of male infertility by regulating ten hub targets (VEGFA, CASP3, TNF, AKT1, EGF, EGFR, IL-6, MAPK1, TP53, and PTGS2) and six pathways (TNF signaling pathway, PI3K-Akt signaling pathway, FoxO signaling pathway, Toll-like receptor signaling pathway, VEGF signaling pathway, and MAPK signaling pathway). Conclusion: This study explored the pharmacological activity and molecular mechanisms of ZGY against male infertility from a holistic perspective. The underlying molecular mechanisms were closely related to the intervention of oxidative stress and apoptosis with CASP3, TP53, AKT1, and MAPK1 being possible targets.
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Lung Nodule Detection using Convolutional Neural Networks with Transfer Learning on CT Images
Authors: Jun Gao, Qian Jiang, Bo Zhou and Daozheng ChenAim and Objective: Lung nodule detection is critical in improving the five-year survival rate and reducing mortality for patients with lung cancer. Numerous methods based on Convolutional Neural Networks (CNNs) have been proposed for lung nodule detection in Computed Tomography (CT) images. With the collaborative development of computer hardware technology, the detection accuracy and efficiency can still be improved. Materials and Methods: In this study, an automatic lung nodule detection method using CNNs with transfer learning is presented. We first compared three of the state-of-the-art convolutional neural network (CNN) models, namely, VGG16, VGG19 and ResNet50, to determine the most suitable model for lung nodule detection. We then utilized two different training strategies, namely, freezing layers and fine-tuning, to illustrate the effectiveness of transfer learning. Furthermore, the hyper-parameters of the CNN model such as optimizer, batch size and epoch were optimized. Results: Evaluated on the Lung Nodule Analysis 2016 (LUNA16) challenge, promising results with an accuracy of 96.86%, a precision of 91.10%, a sensitivity of 90.78%, a specificity of 98.13%, and an AUC of 99.37% were achieved. Conclusion: Compared with other works, state-of-the-art specificity is obtained, which demonstrates that the proposed method is effective and applicable to lung nodule detection.
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Serum Endocan, Neuron-Specific Enolase and Ischemia-Modified Albumin Levels in Newborns with Partial Blood Exchange Transfusion
Authors: Erbu Yarci, Cuneyt Tayman, Ufuk Cakir and Utku SerkantBackground: Hyperviscosity of blood secondary to polycythemia results in increased resistance to blood flow and decrease in delivery of oxygen. Objective: To evaluate whether serum endocan, NSE and IMA levels can be compared in terms of endothelial injury/ dysfunction and neuronal damage in term neonates with polycythemia who underwent PET. Methods: 38 symptomatic polycythemic newborns having PET and 38 healthy newborns were included in the study. Blood samples for endocan, NSE and IMA were taken at only postnatal 24 hours of age in the control group and in polycytemia group just before PET, at 24 and 72 hours after PET. Results: The polycythemia group had higher serum endocan(1073,4 ± 644,8 vs. 378,8 ± 95,9ng/ml; p<0.05), IMA(1,32 ± 0,34 vs.0,601 ± 0,095absorbance unit; p<0.05) and NSE(44,7 ± 4,3 vs. 26,91 ± 7,12μg/l; p<0.05) levels than control group before the PET procedure. At 24 hours after PET, IMA(0,656 ± 0,07 vs. 0,601 ± 0,095absorbance unit; p<0.05) and endocan(510,9 ± 228,6 vs. 378,8 ± 95,9ng/ml; p<0.05) levels were closer to the control group, being still statistically significant higher. NSE levels decreased to control group levels having no difference between the PET and control groups at 24 hours after PET (28,98 ± 6,5 vs. 26,91 ± 7,12μg/l; p>0.05). At 72 hours after PET the polycythemia and control groups did not differ statistically for IMA, endocan and NSE levels (p>0.05). Conclusion: Serum endocan and IMA levels can be used as a biomarker for endothelial damage/ dysfunction and tissue hypoxia in infants with symptomatic polycytemia.
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Biological Properties of Yeast-based Mannoprotein for Prospective Biomedical Applications
Authors: Motaharesadat Hosseini and Anoosheh SharifanBackground: Natural products constitute more than half of all biomolecules lately being used in clinical settings. Mannoprotein derived from the yeast cell wall has found full biotechnological applications. Objective: This study was intended to investigate the antioxidant, anticancer, and toxicological properties of Kluyveromyces marxianus mannoprotein (KM). Methods: The KM extract was obtained through a sequence of operations, including centrifugation for cell isolation, precipitation with potassium citrate/sodium metabisulfite, and recovery and purification. Its antioxidant, growth inhibition, macrophage mitogenic, and toxic activities were evaluated for its future use in the biomedical field. Results: Significant inhibitory effects of KM were obtained on reactive species. It showed antiproliferative activity against HeLa (human cervical adenocarcinoma) and MCF-7 (human breast cancer) cell lines with no toxic effects on HUVECs (human umbilical vein endothelial cells). The in vitro model of CHO-K1 (Chinese hamster ovary) cell lines did not show the cytotoxic and genotoxic of KM. Moreover, it enhanced macrophage activity in terms of nitric oxide (NO) production and viability. No sign of acute toxicity was found in BALB/c mice, and body weight remained unchanged in guinea pigs over three months. Conclusion: Comprehensive biological evaluations in this study are expected to expand the potential of KM as a natural material.
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ZnO-nanocatalyst Promoted the Production of Imidazole Derivatives via four-component Reaction of Aminoacid: Study of Antioxidant and Antimicrobial Activity
Aim and Objective: In current research, imidazole derivatives are synthesized via a new process of four component reaction of trichloroacetonitrile, amides, alkyl bromides and amino acids catalyzed by zinc oxide nanoparticles (ZnO-NPs) as a simple and recyclable catalyst in water at room temperature. Among investigated compounds, compounds 5b have good results relative to butylated hydroxytoluene (BHT) and 2-tert-butylhydroquinone (TBHQ) as standard antioxidant. The achieved outcomes of disk diffusion experiment showed that these compounds avoided the growth of bacterial. Materials and Methods: In this research, all chemicals are purchased from Fluka (Buchs, Switzerland) and employed with any purification. For measuring infrared spectroscopy and melting point, a Shimadzu IR-460 spectrometer and Electrothermal 9100 apparatus are utilized respectively. BRUKER DRX-400 AVANCE spectrometer is used for giving the 1H, and 13CNMR spectra at 400.1 and 100 MHz respectively. For recording mass spectra, A FINNIGAN-MAT 8430 spectrometer with an ionization potential of 70 eV was utilized. The scanning electron microscopy (SEM) employing a Holland Philips XL30 microscope was used for determination of ZnO nanocomposites morphology. X-ray diffraction (XRD) analysis at room temperature using a Holland Philips Xpert X-ray powder diffractometer, with CuKα radiation (λ=0.15406 nm), with 2θ ranging from 20 to 80° was employed for characterization of crystalline structure of Fe3O4/CuO nanocomposites. Scherrer’s formula; D= 0.9λ/β cosθ was employed for calculating the average crystallite size where D is the diameter of the nanoparticles, λ (CuKα) =1.5406 Å and β is the fullwidth at half-maximum of the diffraction lines. A general way to prepare of compounds 5 The trichloroacetonitrile 1 (2 mmol) and amides 2 (2 mmol) mixed with ZnO-NPs (10 mol%) in water (5 mL). after 45 min amino acids 3 (2 mmol) was added to previous mixture at room temperature. After 30 min α-haloketones 4 (2 mmol) was added to mixture and stirred for 3 h. After 3 h, the reaction is completed and TLC confirms progress of the reaction. At last, the solid residue was collected by filtration and cleaned with EtOAC to removing ZnO-NPs and after evaporating solvent and washing solid with Et2O compounds 5 afforded as pure product. Results: Without employing catalyst, these reactions have low yield and busy mixture. The synthesis of compound 5a as sample reaction and displayed the ZnO nanoparticles (10 mol%) is the best catalyst for sample reaction and H2O is the very better than other solvent in sample raection. Structures of 5 are confirmed by IR, 1H NMR, 13C NMR mass spectra. Conclusion: In summary, imdazole derivatives were produced in excellent yield from the reaction of trichloroacetonitrile, amides, alkyl bromides and amino acids using ZnO-NPs in water at room temperature. In addition, the power of synthesized imidazole as antioxidant was determined by radical trapping of DPPH and power of reducing ferric analyzes. The tested imidazoles display good radical trapping of DPPH but exhibitted moderate FRAP relative to BHT and TBHQ as synthetic antioxidants.The outcomes of disk diffusion experiment exhibite that synthesized imidazole avoided the bacterial growth. The superiorities of this procedure are environmental, high yield of product and low amounts of catalyst and short time of reaction.
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Andrographolide Mitigates Unfolded Protein Response Pathway and Apoptosis Involved in Chikungunya Virus Infection
Authors: Swati Gupta, Kamla P. Mishra, Bhuvnesh Kumar, Shashi Bala Singh and Lilly GanjuBackground: Chikungunya virus (CHIKV) is an arthropod-borne RNA virus which induces host Endoplasmic Reticulum (ER) stress by accumulating unfolded or misfolded proteins. ER stress activates the unfolded protein response (UPR) pathway to enable proper protein folding and maintain cellular homeostasis. There is no approved drug or vaccine available for CHIKV treatment, therefore, a pharmacological countermeasure is warranted for preventing CHIKV infection. Objective: With a view to find a treatment modality for chikungunya infection, “andrographolide”, a plant-derived diterpenoid with reported antiviral, anti-inflammatory and immunomodulatory effects, was used to investigate its role in chikungunya induced unfolded protein stress and apoptosis. Methods: Cells and supernatant collected on andrographolide and VER-155008, a GRP78 inhibitor, treatment in CHIKV infected and mock-infected THP-1 cells were tested for differential expression of UPR pathway proteins including GRP78, PERK, EIF-2α, IRE-1α, XBP-1 and ATF6. Furthermore, the inflammasome and apoptosis pathway proteins, i.e., caspase-1, caspase-3 and PARP, were tested by immunoblotting, and cytokines, i.e., IL-1β, IL-6 and IFN-γ were tested by ELISA. Results: Andrographolide treatment in CHIKV infected THP-1 cells significantly reduced IRE1α and downstream spliced XBP1 protein expression. Furthermore, CHIKV induced apoptosis and viral protein expression were also reduced on andrographolide treatment. A comparative analysis of andrographolide versus VER-155008, confirmed that andrographolide surpasses the effects of VER-155008 in suppressing the CHIKV induced ER stress. Conclusion: The study, therefore, confirms that andrographolide is a potential remedy for chikungunya infection and suppresses CHIKV induced ER stress and apoptosis.
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Exploring Single Nucleotide Polymorphisms in ITGAV for Gastric, Pancreatic and Liver Malignancies: An Approach Towards the Discovery of Biomarker
Authors: Shreya Bhattacharya, Pragati P. Sah, Arundhati Banerjee and Sujay RayBackground: Integrin αV, encoded by ITGAV gene, is one of the most studied protein subunits, closely associated with liver, pancreatic and stomach cancer progression and metastasis via regulation of angiogenesis. The occurrence of Single Nucleotide Polymorphisms (SNPs) in cancer- associated proteins is a key determinant for varied susceptibility of an individual towards cancer. Methodology: The study investigated the deleterious effects of these cancer-associated SNPs on the protein’s structure, stability and cancer causing potential using an in silico approach. Numerous computational tools were employed that identified the most deleterious cancer-associated SNPs and those to get actively involved in post-translational modifications. The impact of these SNPs on the protein structure, function and stability was also examined. Conclusion and Future Scope: A total 63 non-synonymous SNPs in ITGAV gene were observed to be associated in these three gastrointestinal cancers and among this, 63, 19 were the most deleterious ones. The structural and functional importance of residues altered by most damaging SNPs was analyzed through evolutionary conservation and solvent accessibility. The study also elucidated three-dimensional structures of the 19 most damaging mutants. The analysis of conformational variation identified 5 SNPs (D379Y, G188E, G513V, L950P, and R540L) in integrin αV, which influence the protein’s structure. Three calcium binding sites were predicted at residues: D379, G384 and G408 and a peptide binding site at residue: R369 in integrin αV. Therefore, SNPs D379Y, G384C, G408R and R369W have the potential to alter the binding properties of the protein. Screening and characterization of deleterious SNPs could advance novel biomarker discovery and therapeutic development in the future.
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Molecular Docking Studies of Bioactive Nicotiflorin against 6W63 Novel Coronavirus 2019 (COVID-19)
Authors: Raghvendra Dubey and Kushagra DubeyBackground: COVID-19 which is known as the novel coronavirus was reported in December 2019 in Wuhan city, China and many people have been contaminated by environmental contamination and transmission from one human to another until now. Objective: The objective of the present work is to establish the inhibitory potential of nicotiflorin, a Kaempferol 3-O-rutinoside flavonoid, against the deadly coronavirus (COVID-19) 6W63 (main protease 3Clpro protein), using molecular docking approach. Methods: The Molegro Virtual Docker software (MVD) with a 30 Å grid resolution was used. The structure was drawn by Chem 3D software and energy minimization was done by the MM2 force field. The protein 6W63 was downloaded from the protein data bank. Molegro modeller was used for score calculations. Result: The molecular docking studies were carried out on nicotiflorin and standard inhibitor X77, where standard inhibitor was observed in a co-crystallized state with main protease 3Clpro protein 6W63. The MolDock score, Rerank Sore, and H Bond score of nicotiflorin and standard inhibitor X77 were observed as -173.058, -127.302, -21.9398 and -156.913,-121.296,-5.7369, respectively. Conclusion: Molecular docking studies have confirmed that the affinity of flavonoid nicotiflorin with the amino acids of the viral protein 6W63 was relatively more than the standard X77. For the effective treatment of novel coronavirus COVID-19, the effectiveness of the identified flavonoid nicotiflorin can further be evaluated for safety and efficacy parameters at both preclinical and clinical stages.
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Lead Finding from Selected Flavonoids with Antiviral (SARS-CoV-2) Potentials Against COVID-19: An In-silico Evaluation
Background: COVID-19 is a pandemic respiratory contagious viral (SARS-CoV-2) disease associated with high morbidity and mortality worldwide. Currently, there are no effective preventive or treatment strategies for COVID-19 and it has been declared as a global health emergency by WHO. In silico molecular docking studies can be useful to predict the binding affinity between the phytocompound and the target protein and play a vital role in finding an inhibitor through structure-based drug design. Objective: In this aspect, our objective was to screen essential flavonoids against possible protein targets such as SARS-CoV-2 spike glycoprotein receptor binding domain (RBD-S) and host Angiotensin Converting Enzyme-2 protease domain (PD-ACE-2) using in silico molecular docking studies. Methods: Approximately 49 flavonoids were identified and were evaluated for their drug-likeness based on Lipinski rule, bioactivity scores, antiviral and toxicity profiles using SwissADME, Molinspiration, PASS and GUSAR online tools. The flavonoids that passed Lipinski rule were subjected to in silico analysis through molecular docking on RBD-S and PD-ACE-2 using Molegro Virtual Docker v6.0. Results: The bioactive flavonoids that showed NIL violations and were found in compliance with Lipinski rule were selected for docking studies. In silico analysis reported that biochanin A and silymarin bind significantly at the active sites of RBD-S and PD-ACE-2 with a MolDock score of -78.41and -121.28 kcal/mol respectively. Bioactivity scores, antiviral potential and toxicity profiles were predicted for the top interacting phytocompounds and substantial relevant data was reported. Conclusion: The current outcomes created a new paradigm for understanding biochanin A and silymarin bioflavonoids as potent inhibitors of RBD-S and PD-ACE-2 targets respectively. Further work can be extended to confirm their therapeutic potential for COVID-19.
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Volumes & issues
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Volume 28 (2025)
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Volume 27 (2024)
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Volume 26 (2023)
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Volume 25 (2022)
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Volume 24 (2021)
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Volume 23 (2020)
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Volume 22 (2019)
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Volume 21 (2018)
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Volume 20 (2017)
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Volume 19 (2016)
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Volume 18 (2015)
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Volume 17 (2014)
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Volume 16 (2013)
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Volume 15 (2012)
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Volume 14 (2011)
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Volume 13 (2010)
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Volume 12 (2009)
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Volume 11 (2008)
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Volume 10 (2007)
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Volume 9 (2006)
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Volume 8 (2005)
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Volume 7 (2004)
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Volume 6 (2003)
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Volume 5 (2002)
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Volume 4 (2001)
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Volume 3 (2000)
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