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1.
Advances in Health and Disease ; 63:1-69, 2023.
Article in English | Scopus | ID: covidwho-2267489

ABSTRACT

All eukaryotic cells have a system in place called the ubiquitin-dependent proteolysis system to control protein degradation;nevertheless, any flaws in this system can initiate numerous fatal diseases, including cancer, metabolic problems, neurological disorders and diseases. These health complications interlink with faults in ubiquitin-dependent proteolysis. Ubiquitin assists as a post-translational targeting signal for altering the structure, localization of other proteins, features and functioning styles of the cells and tissues. The ubiquitin ligase standardizes the specific nature of the ubiquitination features and cellular response. The ubiquitin ligase is a critical element of the enzymatic cascade that regulates the part of the multipubiquitin chain to the target or labile protein. Consequently, the attachment of the ubiquitin topology is crucial for regulating healthy growth, differentiation, and protection of cells from damage by xenobiotics, infections, mutations, and environmental stresses. Protein degradation is adopted by the cells as a route to enduringly deactivate proteins. The 26S proteasome is responsible for ATP-dependent protein failure in the cytoplasm and nuclei of eukaryotes. Most proteins are covalently associated with a multi-ubiquitin chain and engage the 26S proteasome. In the testes, the ubiquitin ligases E1, E2, E3, and UBC4 are dynamic. Here, prompt and large protein alterations are essential for a cell to respond to its environment, and a complex web of interrelated events, including control over synthesis, localization, and degradation. The regulator of the cell cycle, receptor processing, growth management, and stress response are all subject to intracellular proteolysis. This chapter focuses on (I) the significant contribution of ubiquitination in the cellular signaling pathways that contract with these external influences;(II) the mechanisms of ubiquitination-deubiquitination that offer the system its high level of selectivity, (III) the role of ubiquitin-dependent degradation in initiating diseases in humans and forthcoming clinical claims developed to employ the cell's built-in proteolytic machinery to cure diseases;(IV) to examine imaginable clinical practices fashioned to exploit the body's own proteolytic machinery to cure the diseases, and analyze the effectiveness of vaccinations, antibodies, and other possible therapies that aim to block SARS-CoV-2 entrance pathways. Lastly, the authors include the most important unanswered queries pertaining to this crucial route. © 2023 Nova Science Publishers, Inc.

2.
J. Phys. Conf. Ser. ; 1797, 2021.
Article in English | Scopus | ID: covidwho-1139926

ABSTRACT

The global problem at the moment is COVID-19 caused by corona-virus which led to the worldwide lockdown. However there are still people who are not taking proper precautions and maintaining social-distancing while going out for emergency situations. To ensure this the government is trying to monitor the actions of each and every citizen. It is not realistically possible to monitor the actions of each and every citizen. This problem can be possibly solved by the use of machine learning. In this paper we have presented face detection based technique to combat with COVID-19. At first this technique captures the image and detects the face using viola zones method. Then the detected face images are classified to detect the mask. It actually detects whether every person have used mask or not. If there present anyone without mask then the system starts alarm to inform it to the responsible authority and to alert the public. Here Principal Component Analysis (PCA) has been used to extract the feature from the detected face images and for the detection of mask K-Nearest Neighbor (KNN) classifier has been used. © 2021 Institute of Physics Publishing. All rights reserved.

3.
Defence Life Science Journal ; 5(4):255-267, 2020.
Article in English | ProQuest Central | ID: covidwho-908409

ABSTRACT

The recent coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has offered a unique challenge for human survival. However, there is no available known prophylaxis, therapeutic intervention, and vaccine candidate against SARS-CoV-2 to date. We aimed towards identifying novel phytoligands from widely available botanical resources which could serve as potential inhibitors against SARS-CoV-2. Based on literature review, database search, ADMET, and drug-likeness, 55 phytoligands and 8 synthetic repurposing drugs were screened and tested against SARS-CoV-2 spike glycoprotein, main protease, papain-like protease, and RNA-dependent RNA polymerase using molecular docking and protein-ligand interaction. All phytoligands and repurposing drugs showed binding affinity based inhibitory potential against the viral proteins. The highest binding affinities of phytoligands towards antiviral targets were exhibited by colchicine and oleic acid, and that of repurposing drugs was shown by saquinavir and nelfinavir. Capsaicin, oleic acid, azithromycin, nelfinavir, remdesivir, and saquinavir were acted as plausible broad-spectrum inhibitors. Hydrogen bonds and hydrophobic interactions of amino acids were varied significantly within the conserved domain along with glutamic acid richness. Further investigation should be carried out to obtain the synergistic effect using cell-based assays, animal models, and clinical trials to discover novel phytomedicine against SARS-CoV-2. © 2020, DESIDOC.

4.
Data Brief ; 31: 106028, 2020 Aug.
Article in English | MEDLINE | ID: covidwho-646109

ABSTRACT

We report on data and debriefing observations in the context of an immersive simulation conducted to (a) train clinicians and (b) test new protocols and kits, developed in table-top exercises without prior clinical experience to fit anticipated clinical encounters in the setting of the rapidly expanding COVID-19 pandemic. We simulated scenarios with particular relevance for anesthesiology, perioperative and critical care, including (1) cardiac arrest, (2) emergency airway management, (3) tele-instruction for remote guidance and supervision, and (4) transporting an intubated patient. Using a grounded theory approach, three authors (MHA, DLR, EHS) developed emergent themes. First alone and then together, we sought consensus in uncovering overarching themes and constructs from the debriefings. We thus performed an informal qualitative thematic analysis based in a critical realist epistemological position - the understanding that our findings, while real, are affected by situational variables and the observer's perspective[1,2]. We compared data from videos and triangulated the data by member checking. All participants and course instructors volunteered to participate in this educational project and contributed as co-authors to this manuscript. During debriefing, we applied crisis resource management concepts including situation awareness, prioritization of tasks, and clear communication practices, conducting the debriefing with emphasis on current TeamStepps 2.0 terminology and concepts. [3,4] In addition, we re-evaluated formerly familiar processes, as shortcomings of protocols, kits, and interdisciplinary cooperation became apparent. The data provide detailed observations on how immersive simulation and debriefing among peers mitigated the unfamiliarity of individual clinicians and the organization at large with the demands of an unprecedented healthcare crisis. We also observed and report on the anxiety caused by resource constraints, risk to clinicians in the face of limited personal equipment, and the overall uncertainty surrounding COVID-19. We began to summarize, interpret, critique, and discuss our data and debriefing observations in a rapid co-publication in the Journal of Clinical Anesthesia. [Healthcare Simulation to Prepare for the COVID-19 Pandemic][5].

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