The academic sectors are badly affected by the COVID-19 pandemic globally. The studies regarding the implications of COVID-19 in education in Nepal were minimal, thus, this paper aims to highlight the impacts of the pandemic on the education sector of Nepal. It is revealed that the Nepalese academia has been facing problems due to lack of adequate and appropriate sustainable infrastructure for the online system, including skilled human resources. In addition, limited internet facilities in remote and rural areas were the other challenging tasks for virtual academic activities. Therefore, the concerned stakeholders should provide necessary services and appropriate strategies for virtual means of the education system to compensate the repercussion caused by the pandemic. This study could be helpful to identify the critical needs emerged due to the pandemic at present and in future and also contribute to adopt appropriate policy for the revival of educational institutions.

Ergosterol derivatives exhibited copious promising biological activities. The fungus Gyromitra esculenta is widely distributed in Europe and North America. In order to examine the chemical properties of Gyromitra esculenta, a phytochemical study has been preceded and resulted in the isolation of the steroid, ergosta-5, 22-dien-3β-ol (brassicasterol), from its methanol extract. The complete identification and absolute configuration of the isolated compound have been established by X-ray structural analysis to be (22E, 24R)-24-methylcholesta-5, 22-dien-3beta-ol. The reported cytotoxicity and the great structural similarity of the isolated compound with the cocrystallized ligand of the aromatase enzyme inspired us to run molecular docking studies against that protein. Ergosta-5, 22-dien-3β-ol occupied the target protein with a binding mode almost the same as the cocrystallized ligand and a binding affinity of 33.55kcal/mol, which was better than that of the cocrystallized ligand (22.61kcal/mol). This promising result encouraged us to conduct in silico ADMET and toxicity studies of ergosta-5, 22-dien-3β-ol against 6 models, and the results expected the likeness of the isolated compound to be a drug. In conclusion, ergosta-5, 22-dien-3β-ol has been isolated from Gyromitra esculenta, identified by X-ray structural analysis, and exhibited promising in silico activities against aromatase enzyme.

Background: Diabetes mellitus (DM) is a common metabolic disorder characterized by a persistent increment of blood glucose. Type 2 DM is characterized by insulin resistance and β-cell dysfunction. Thioredoxin-interacting protein (TXNIP) is among the factors that control the produc-tion and loss of pancreatic β-cells. Objective: Recent studies have shown that high glucose can significantly up-regulate the expression of the TXNIP. Overexpression of TXNIP in β-cells not only induced apoptosis but also decreased the production of insulin. At the same time, TXNIP deficiency protected the apoptosis of β-cells, leading to increased insulin production. Therefore, finding small molecules that can modulate TXNIP expression and downstream signalling pathways is essential. Thus, the inhibition of TXNIP has beneficial effects on the cardiovascular system and other tissues such as the heart and the kid-ney in DM. Therefore, DM treatment must target small TXNIP activity, inhibit expression, and promote endogenous cell mass and insulin production. Conclusion: This review briefly describes the effect mechanism, regulatory mechanism, and crystal structure of TXNIP. In addition, we highlight how TXNIP signalling networks contribute to diabe-tes and interact with drugs that inhibit the development often and its complexes. Finally, the current status and prospects of TXNIP targeted therapy are also discussed.

Contamination of the trace elements (TEs) in the freshwater ecosystems is becoming a worldwide problem. This study was carried out to investigate the TEs contamination, and their associated health risk in Begnas Lake and Rupa Lake, Gandaki Province, Nepal. A total of 30 water samples were collected from both lakes during the pre-monsoon season in 2016. The samples were analyzed for the TEs including copper (Cu), lead (Pb), zinc (Zn), nickel (Ni), cobalt (Co), chromium (Cr), cadmium (Cd), manganese (Mn), cesium (Cs), and arsenic (As) using inductively coupled plasma mass spectrometry. The results exhibited that the mean concentrations of all the TEs were higher in Rupa Lake as compared to Begnas Lake except Pb. Principal component analysis and cluster analysis revealed that both the geogenic and anthropic sources were the major contributors of TEs in the lake water. Anthropic activities were considered to contribute the TEs like Zn and Mn in lake water mainly via agricultural runoff, while evaluating the risk of TEs on human health all the elements showed HQ < 1 and CR < 10⁻⁴ indicating currently very low health risk concerns. In good agreement with above, the water quality index (WQI) of the Begnas Lake and Rupa Lake was 2.67 and 5.66, respectively, specifying the lake water was safe for drinking and public health concern. This appraisal would help the policymakers and concerned stakeholders for the sustainable management of Ramsar listed freshwater lakes in the Himalayas.

Natural products and their derivatives have been important for treating diseases in humans, animals, and plants. However, discovering new structures from natural sources is still challenging. In recent years, artificial intelligence (AI) has greatly aided the discovery and development of natural products and drugs. AI facilitates to: connect genetic data to chemical structures or vice-versa, repurpose known natural products, predict metabolic pathways, and design and optimize metabolites biosynthesis. More recently, the emergence and improvement in neural networks such as deep learning and ensemble automated web based bioinformatics platforms have sped up the discovery process. Meanwhile, AI also improves the identification and structure elucidation of unknown compounds from raw data like mass spectrometry and nuclear magnetic resonance. This article reviews these AI-driven methods and tools, highlighting their practical applications and guide for efficient natural product discovery and drug development.

Ganoderma lucidum has been extensively studied for its valuable medicinal importance. In this study, the artificial cultivation of G. lucidum strain Philippine in different culture media, including sawdust substrate, was performed and optimized on the Potato Dextrose Agar (PDA) media. Phytochemical, antibacterial, and antioxidant analyses were performed and compared between the ethanol extracts prepared from two different cultures (fruit from synthetic log culture and mycelia from PDA media culture). Both the 200mg/mL and 100mg/mL concentrations of extracts inhibited all the tested bacteria, and the results were promising than the corresponding control using antibiotics. The fruit extract showed higher antioxidant potential (150.6±56.92mg ascorbic acid equivalent/g extract) than mycelial extract (144.28±81.72mg ascorbic acid equivalent/g extract). The results indicate that fruiting bodies of G. lucidum cultivated in a complex dust medium possess higher antioxidant properties than mycelia culture, which can be further explored for therapeutic applications.