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13 result(s) for "Kishore, Anusha"
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Structure and function of the geldanamycin amide synthase from Streptomyces hygroscopicus
Amide synthases catalyze the formation of macrolactam rings from aniline-containing polyketide-derived seco-acids as found in the important class of ansamycin antibiotics. One of these amide synthases is the geldanamycin amide synthase GdmF, which we recombinantly expressed, purified and studied in detail both functionally as well as structurally. Here we show that purified GdmF catalyzes the amide formation using synthetically derived substrates. The atomic structures of the ligand-free enzyme and in complex with simplified substrates reveal distinct structural features of the substrate binding site and a putative role of the flexible interdomain region for the catalysis reaction. Amide synthases catalyse the formation of macrolactam rings from aniline-containing polyketide-derived seco -acids. In this study, the authors solved the crystal structure of the geldanamycin amide synthase GdmF and demonstrated that it catalyses amide formation using synthetically derived substrates.
Fluorescence Masking Based Multifunctional Quantum Dots’ Assay for HSP90α Interactions Detection
HSP90α is one of the most common stress proteins in cells; hence, it is a good target for developing drugs and testing systems for cancer or physical stress levels in humans. Streptavidin conjugated quantum dots (Sav-QDs) are widely used as fluorophores for biosensing to overcome chemical labelling problems. In this work, we have attempted to develop a multifunctional and robust assay for HSP90α. The detection technique was based on the masking of the fluorescence of spotted Sav-QDs on nitrocellulose chips (NC). Biotinylated ligand/antibody attaches to the spotted Sav-QD and then HSP90α is attached, which causes the masking of fluorescence. The masking of fluorescence was used to detect protein–ligand interactions, the effect of inhibitors, protein–protein interactions, and the presence of protein in the biological sample. The load of detection (LoD) of the assay lies in the nano molar range, making it a sensitive assay. The results from the experiments suggest that the used approach is promising for developing a multifunctional, robust, and sensitive assay for proteins that can be used for point-of-care detection in complex biological samples.
In silico screening for potential inhibitors from the phytocompounds of Carica papaya against Zika virus NS5 protein version 2; peer review: 1 approved with reservations, 1 not approved
Background The Zika virus (ZIKV) infection has emerged as a global health threat. The causal reasoning is that Zika infection is linked to the development of microcephaly in newborns and Guillain-Barré syndrome in adults. With no clinically approved antiviral treatment for ZIKV, the need for the development of potential inhibitors against the virus is essential. In this study, we aimed to screen phytochemicals from papaya ( Carica papaya L.) against NS5 protein domains of ZIKV. Methods Approximately 193 phytochemicals from an online database (IMPACT) were subjected to molecular docking using AutoDock Vina against the NS5-MTase protein domain (5WXB) and -RdRp domain (5U04). Results Our results showed that β-sitosterol, carpaine, violaxanthin, pseudocarpaine, Δ7-avenasterols, Rutin, and cis-β-carotene had the highest binding affinity to both protein domains, with β-sitosterol having the most favorable binding energy. Furthermore, ADMET analysis revealed that selected compounds had good pharmacokinetic properties and were nontoxic. Conclusions Our findings suggest that papaya-derived phytochemicals could be potential candidates for developing antiviral drugs against ZIKV. However, further experimental studies using cell lines and in vivo models are needed to validate their efficacy and safety.
MR and CT Image Fusion Using Nonlinear Anisotropic Filtering in PCA Domain
In medical science it has been commonly used for computer-aided brain surgery, Alzheimer’s therapy, tumour identification & other medical assessment. Accurate fusion algorithms can be made to ensure proper detection of diseases. The mechanism of fusion is incredibly insightful, since it transforms information from a single picture from two or more pictures into a single picture. In addition, the most common application is the use of images of the magnet resonance (MR) & the computed tomography image (CT). The objects in the source images must be reduced. A new algorithm is introduced here for image fusion. In the principal component analysis (PCA) domain, the nonlinear anisotropic filtering (NLAF) most efficiently preserves texture features of the segmented image. The source images are broken down into estimation & information layers by NLAF. The PCA support is used to measure the actual detail & approximation layers. Fusioned images are eventually generated by last detail and approximation layers linear combination. The algorithm suggested efficiency & quantitative output is evaluated by image consistency parameters, including the PSNR, entropy (E), square-root root (RMS) & structural similitude (SSIM) indices. Compared with the conventional & recent image fusion algorithms, detailed simulation findings of the suggested hybrid technique. Evaluation of efficiency shows that the proposed fusion solution is beyond the actual fusion approach.
Periodontal health knowledge and preventive practices among young educated adults: a cross-sectional study
Background Periodontal health literacy is a key determinant of oral hygiene behaviours and periodontal disease prevention. Despite broad research, comparative data across different professional student streams within the same setting are limited. Objectives To assess and compare periodontal health-related knowledge and preventive practices among medical, engineering, and business undergraduate students and to identify associated factors, without implying causal relationships. Methods A descriptive cross-sectional study was conducted among 300 undergraduate students from three professional colleges. Stratified random sampling was used. A pilot-tested 15-item questionnaire with acceptable internal consistency (Cronbach’s α = 0.82) evaluated knowledge, practices, and limited motivational items. Descriptive statistics, Chi-square tests, Kruskal–Wallis tests with Dunn’s post-hoc analyses, effect sizes (Cramer’s V, η²) and multivariable logistic regression (adjusted for age, gender, and socioeconomic status) were applied. Results Results: Among 300 participants, 202 (67.3%) were female and 98 (32.7%) were male, with a mean age of 20.36 ± 1.93 years. Only 88 (29.3%) reported correct brushing technique, 37 (12.3%) were aware of dental floss, and 27 (9.0%) reported regular preventive dental visits. Engineering students had higher compliance with toothbrush replacement (84%; p  < 0.001), and medical students showed greater systemic–oral health awareness. After adjustment, academic discipline remained independently associated with brushing frequency (OR = 1.82, 95% CI: 1.21–2.74). Conclusions Periodontal knowledge and preventive practices were suboptimal among young educated adults. These findings provide baseline evidence for structured educational interventions; future longitudinal and interventional studies are recommended.
In silico screening for potential inhibitors from the phytocompounds of Carica papaya against Zika virus NS5 protein version 1; peer review: 1 approved, 1 approved with reservations, 1 not approved
Background: The Zika virus (ZIKV) infection has emerged as a global health threat. The causal reasoning is that Zika infection is linked to the development of microcephaly in newborns and Guillain-Barré syndrome in adults. With no clinically approved antiviral treatment for ZIKV, the need for the development of potential inhibitors against the virus is essential. In this study, we aimed to screen phytochemicals from papaya ( Carica papaya L.) against NS5 protein domains of ZIKV. Methods: Approximately 193 phytochemicals from an online database (IMPACT) were subjected for molecular docking using AutoDock Vina against NS5-MTase protein domain (5WXB) and -RdRp domain (5UO4). Results: Our results showed that β-sitosterol, carpaine, violaxanthin, pseudocarpaine, Δ7-avenasterols, Rutin, and cis-β-carotene had the highest binding affinity to both protein domains, with β-sitosterol having the most favorable binding energy. Furthermore, ADME analysis revealed that selected compounds had good pharmacokinetic properties and were nontoxic. Conclusions: Our findings suggest that papaya-derived phytochemicals could be potential candidates for developing antiviral drugs against ZIKV. However, further experimental studies using cell lines and in vivo models are needed to validate their efficacy and safety.
Dynamic Phenotypic Switching and Group Behavior Help Non-Small Cell Lung Cancer Cells Evade Chemotherapy
Drug resistance, a major challenge in cancer therapy, is typically attributed to mutations and genetic heterogeneity. Emerging evidence suggests that dynamic cellular interactions and group behavior also contribute to drug resistance. However, the underlying mechanisms remain poorly understood. Here, we present a new mathematical approach with game theoretical underpinnings that we developed to model real-time growth data of non-small cell lung cancer (NSCLC) cells and discern patterns in response to treatment with cisplatin. We show that the cisplatin-sensitive and cisplatin-tolerant NSCLC cells, when co-cultured in the absence or presence of the drug, display dynamic group behavior strategies. Tolerant cells exhibit a ‘persister-like’ behavior and are attenuated by sensitive cells; they also appear to ‘educate’ sensitive cells to evade chemotherapy. Further, tolerant cells can switch phenotypes to become sensitive, especially at low cisplatin concentrations. Finally, switching treatment from continuous to an intermittent regimen can attenuate the emergence of tolerant cells, suggesting that intermittent chemotherapy may improve outcomes in lung cancer.
EVALUATION OF FLOATING MICROSPHERE OF CEFPODROXIL PROXETIL
First of all, A popular method for increasing the bioavailability of medications with a stomach absorption window is the floating drug delivery system. One method to increase gastroretention for oral sustained release dose forms is the floating microcapsule. Cefpodoxime Proxetil breaks down at higher pH levels and has a biological half-life of 2.5 hours. Goal: The purpose of this work was to create Cefpodoxime Proxetil floating microcapsules utilizing a solvent evaporation process using Eudragit S100 as a release retardant. Trial: The association between the concentration of Eudragit and stirring speed on the percentage release at 12 hours, the percentage entrapment efficiency, and the particle size was examined using a 32 complete factorial design. The drug concentration, % yield, floatability, and surface appearance of the microcapsules were also assessed. Findings: It was discovered that all batches' particle sizes fell between 150 and 290 µm. It was discovered that an increase in Eudragit S100 concentration increased the microcapsules' mean particle size and entrapment effectiveness. Microcapsules made at a greater stirring speed were shown to have a larger percent release. This finding might be attributed to the microcapsules' smaller particle size and, therefore, their shorter diffusional route length. For 12 hours, every batch of microcapsules maintained their buoyancy. It was shown that the rate of medication release decreased as the polymer concentration increased. Pharmacokinetic investigations were conducted on the ideal formulation. Research conducted in vivo demonstrated a 1.6-fold increase in the relative bioavailability of Cefpodoxime Proxetil in microcapsule form.
Effect of 3D animation videos over 2D video projections in periodontal health education among dental students
Background: There is limited evidence about the distinguished effect of 3D oral health education videos over conventional 2 dimensional projections in improving oral health knowledge. This randomized controlled trial was done to test the effect of 3 dimensional oral health educational videos among first year dental students. Materials and Methods: 80 first year dental students were enrolled and divided into two groups (test and control). In the test group, 3D animation and in the control group, regular 2D video projections pertaining to periodontal anatomy, etiology, presenting conditions, preventive measures and treatment of periodontal problems were shown. Effect of 3D animation was evaluated by using a questionnaire consisting of 10 multiple choice questions given to all participants at baseline, immediately after and 1month after the intervention. Clinical parameters like Plaque Index (PI), Gingival Bleeding Index (GBI), and Oral Hygiene Index Simplified (OHI-S) were measured at baseline and 1 month follow up. Results: A significant difference in the post intervention knowledge scores was found between the groups as assessed by unpaired t-test (p< 0.001) at baseline, immediate and after 1 month. At baseline, all the clinical parameters in the both the groups were similar and showed a significant reduction (p< 0.001)p after 1 month, whereas no significant difference was noticed post intervention between the groups. Conclusion: 3D animation videos are more effective over 2D videos in periodontal disease education and knowledge recall. The application of 3D animation results also demonstrate a better visual comprehension for students and greater health care outcomes.
Optimization Of Time-Driven Scheduling Technique For Serverless Cloud Computing
Serverless Computing has become more common by providing lower costs, better elasticity and enhanced usability. Taken as a consequence that resource restrained infrastructure requires efficient low-latent calculations, it also becomes a common execution model for edge computing. However, the cloud mitigation of hyper scale in the cold start server is not scaled to small 10-100kW edge sites, resulting in weak threshold latencies for edge deployments of existing VMs and containers. This is particularly acute since latency requirements are expected to range from micro seconds to seconds in future edge computing workloads. SledgeEDF is the first time that the serverless execution paradigm applies conventional real- time admittance management systems and time-driven scheduling techniques.