ABSTRACT
Hydroxychloroquine is a chloroquine derivative recognized for treating 'SARS-CoV-2 or COVID-19', among its other uses. It is one of the key drugs used for the treatment of malaria and other respiratory diseases. The drug exhibits multiple pharmacological activities such as anti-malarial, antidiabetic, anticancer, anti-HIV, antifungal, antimicrobial, and antioxidant activities. The coronavirus has recently shown five mutations or genetic change in its structure due to change in the climatic condition (i.e. R207C (nsp 2-27) - Wuhan (China), V378 I (nsp 2-198) - Italy, M2796I (nsp 4-33) - Iran, L3606F (nsp 6-37)-America and V9082F (ORF 7a-74) - Kuwait). There are many preclinical, clinical, theoretical, and experimental evidences that support the effectiveness of HCQ and CQ on patients affected by COVID-19. Based on the evidence currently underway and future research, we will be able to provide better analysis of the role of HCQ and CQ in the COVID-19 transition. It displays several activities related to the respiratory system, and numerous studies have suggested that the compound may be beneficial in protection against diseases such as malaria and lupus erythematosus. The present review represents the role and use of HCQ in the COVID-19 dis-ease. The object of this review study is based on the research evidence obtained from different au-thentic sources. It is currently used in the study of HCQ and CQ for the treatment of coronavirus and various other infections.Copyright © 2021 Bentham Science Publishers.
ABSTRACT
Machine learning (ML] helps with the future prediction of action and take decision. A variety of prediction techniques are used for the future prediction of risks and effectively dealing it. This work shows how ML models can predict death rates of COVID-19 patients so that we can do effective treatment and try to minimize the effect of the causes. Coronavirus 2019, COVID-19 is a member of the Coronaviridae genus. A virus without a cure causes unpredictable devastation to people's lives as well as the financial and economic systems of every nation on earth. We have taken certain features from the COVID-19 dataset to study and comprehend the future circumstance using machine learning algorithms, various prediction models are created, and their performances are calculated and assessed. We have compared machine learning algorithms viz. Random Forest and Linear Regression, Decision Tree to predict a number of cases.
ABSTRACT
The most fascinating product of honeybee is propolis. It has an immense role in dentistry, dermatology, and otorhinolaryngology. The increased popularity of propolis as an important remedy is due to its constituents, which have anti-inflammatory, immunomodulatory, antihepatotoxic, anti-cancerous, antifungal, antioxidant, antidiabetic, and antiviral activities. The diverse biological and pharmacological activities of propolis have piqued the interest of many scientists. Many techniques like gas chromatography-mass spectrometry, chromatography, and spectroscopy are being used to identify different propolis constituents. Flavonoids, phenolic acids, and their esters are the most pharmacologically active molecules of propolis and are known to disrupt the replication machinery of the virus corroborating the anti-coronavirus activity of propolis. The main aim of this article is to provide an insight of the increasing theragnostic uses of propolis and its nanoparticles, including their chemical analysis, diverse biological activities, and the necessity for chemical standardization. In this review, we have focused at the promising effects of propolis, its optimization, and its liposomal formulation as a therapeutic intervention for COVID-19 and its accompanying comorbidities. © 2023 the author(s), published by De Gruyter.
ABSTRACT
Chloroquine (CQ) and its analog hydroxychloroquine (HCQ) are popular antimalarial drugs that also exhibit wide range of activities against other diseases such as cancer, diabetes, HIV, and microbial infections, among others. They are also reported to possess antioxidant properties. The popularity of these drugs skyrocketed with the emergence of coronavirus disease 2019 (COVID-19) that has caused the deaths of over 600,000,000 people worldwide just within 7 months. Due to the urgency of the time in discovering or repurposing new drugs that will be active against SARS-CoV-2, the causative agent of COVID-19, some initial in vitro studies found prospects in CQ and HCQ against SARS-CoV-2. HCQ instantly became a drug of choice over CQ for the treatment of COVID-19 patients because it is readily absorbed and less toxic. However, clinical studies found no positive indices to support the continued use of HCQ. This chapter looks into this by consulting current literatures in order to unravel the myth surrounding the approval and disapproval of the use of HCQ. © 2022 Elsevier Inc. All rights reserved.