Posted by admin on Mar 31, 2023 in |
The main objective of this study is to find a cure for Human Breast Cancer having Canine Mammary Tumor as a model using the ethyl acetate extract of Enicostema axillare targeting Runt-Related Transcription factor, which plays a vital role in Hippo Signaling Pathway. The preliminary phytochemical analysis and GC-MS analysis were used to determine the plant extract’s bioactive compounds. The in-vitro Antioxidant and Anti-Proliferation assay was performed on MCF-7 and REM-134 cell lines by MTT assay. The Pharmacokinetics and Pharmacodynamics of Bioactive compounds were studied using Pre-ADMET and PASS SERVER software, respectively. Minimum Antioxidant potential Inhibition of extract was observed at 40µg/mL, and IC50 value calculated by MTT assay was found to be 31.2µg/mL for MCF-7 and 125µg/mL for REM-134. Bioactive compounds obtained from the GC-MS study were subjected to molecular docking on RUNX of Humans and Canine. The Dock score was found to be 96.7 for Humans and 102.13 for Canine. RUNX can be used as a prognostic marker for the treatment of mammary tumors for both Human...
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Posted by admin on Mar 31, 2023 in |
It cannot be overstated that the rate at which cancer uses glucose for proliferation is one of the many variables contributing to the alarmingly high mortality rate of cancer over time. Cancerous cells can survive because of this. However, a significant therapeutic strategy for malignant cells may involve the blockage of several glucose transporters, including glut 4 encoded by the solute carrier family-2-member-4-gene (Slc2a4) by certain phytochemicals from Panax ginseng. The top ten phytochemicals obtained from the PubChem database in SDF format with the lowest binding energies of these compounds wit SGLUT4 were selected as possible inhibitors of GLUT4 from Panax. Glut 4 complexed with cytochalasin B was retrieved from the protein data bank (Rcsb.pdb). Schrodinger, online tools such as ProTOX, swissAdmet and Spartan 10.1 were used to examine the samples’ Mmgbsa, Admet characteristics, drug-likeness, toxicity prediction and DFT. The results of this in-silico study showed that the docking scores of the 10 compounds were higher than those of the co-crystallized compound. The Lipinski rule of five (RO5) and...
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Posted by admin on Mar 31, 2023 in |
Introduction: Discovery of smart drugs is part of advancing the science of molecular and biochemical mechanisms of memory. Smart drugs are not just memory boosters; they also act as memory enhancers that help quick decision-making. Pitavastatin and gemfibrozil both cause lipid-lowering effects by different mechanisms of action. A few studies show they can act on CREB (c-AMP response elemental binding protein), a known transcription factor. CREB performs an essential role in long-term memory restoration. Aim and Objectives: To evaluate the memory enhancer effect of pitavastatin and gemfibrozil compared to piracetam using Balb-c mice. Material and Methods: The escape latency period and time spent in the target quadrant were compared among four groups. Observations were analyzed by using paired t-tests, ANOVA, and post hoc Tukey’s test. Results: Pitavastatin (30mg/kg) and gemfibrozil (60mg/kg) significantly decline in the escape latency period. pitavastatin increased the total time spent in the target quadrant as compared to vehicle control in the Morris-water maze test (p< 0.01). However, gemfibrozil fails to show any increment in spending...
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Posted by admin on Mar 31, 2023 in |
Cancer is the malignant form of uncontrolled growth of cells and tissues. The drugs currently used for treating cancer can only increase the lifespan of a patient but cannot cure the disease due to their high toxicity and poor targeting of specific sites. Drugs developed from natural compounds are believed to combat those problems due to their ability to stimulate various physiological pathways with multiple targets. However, the use of natural compounds is restricted because of their physicochemical characteristics. This research article focuses on the use of Mangiferin as anti-cancer agent and its safe and effective delivery using nanotechnology. Mangiferin-loaded poly (lactic-co-glycolic acid) nanoparticles were prepared by single emulsion-solvent evaporation technique and evaluated for yield, particle size, morphology analysis, zeta-potential, drug loading, encapsulation efficiency, in-vitro drug release study and MTT assay on A549 cell line. Mangiferin was successfully loaded onto polymeric nanoparticles using a simple single emulsion solvent evaporation technique using PLGA as a polymer and PVA as a stabilizer with spherical narrow size distribution. Mangiferin-loaded PLGA NPs proved...
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Posted by admin on Mar 31, 2023 in |
Coronavirus is the deadliest disease globally, and no efficient treatment has been established. The prognosis of illnesses caused by virus outbreaks is a severe medical process that demands a large amount of accurate data comprised of many factors to produce an appropriate analysis. We have researched and analyzed the factors that might affect humans and increase the chances of infection with Covid-19. One of them is the breathing symptoms directly affecting the lungs and chest. To analyze the factors, we have used traditional machine learning and deep learning models to classify and predict the chances of a human getting infected with different SARs variants. So, we used a Cyclic Generative Adversarial Networks (CGANs) model, Convolutional Neural Networks (CNNs), to generate, predict and classify the Covid-19 occurrence through chest x-rays and other attributes like Diabetes and Hypertension. These models are deployed to the cloud with appropriate hypermeter tuning to use the result in real time. This paper proposed CGANs and CNNs, which automatically use ADAM, RMSprop and Bayesian optimizers to identify...
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