Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 5 de 5
Filter
Add filters

Language
Document Type
Year range
1.
Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis ; : 157-168, 2021.
Article in English | Scopus | ID: covidwho-2321384

ABSTRACT

eHealth, mHealth, and Telemedicine refer to the application of communication technology and information entrenched in software programs with high-speed telecommunications systems for monitoring, delivery, and management of healthcare services. The utilization of telemedicine has been recognized as a sustainable technology that could help in protection of patients, medical practitioners as well as reduction of social mobility of patients, thereby decreasing the spread of virus. Therefore, this chapter intends to provide a detailed information on the application of eHealth, mHealth, and telemedicine as a preemptive measure to increase clinical care. Detailed information on the practical application of eHealth, mHealth, and telemedicine that has been adopted for the management of COVID-19 during the pandemic period was highlighted. Moreover, detailed information on future recommendation and the role of relevant stakeholders, policy makers, and healthcare providers in obtaining relevant appreciated awareness in the regional dissemination of infection load and healthcare consumption that could enhanced the management of COVID-19 are discussed. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.

2.
Pharmacognosy Journal ; 14(6):796-805, 2022.
Article in English | EMBASE | ID: covidwho-2202767

ABSTRACT

SARS-CoV-2 virus has caused pandemic disease since the end of 2019. Virus transmission occurs through droplet and infects the host's respiratory tract rapidly. Viral propagation occurs through translation process of genome +ssRNA, then it being replicated forming some new body parts of virus and assemblied into virions that ready to infect. During the replication process, the translated viral genome in the form of polyprotein will be cut into smaller components by proteases, which one is 3CLpro. The presence of the 3CLpro receptor is used in drug development through in-silico molecular docking process to minimize failures before laboratory test. The antivirus compounds that used to inhibit the 3CLpro receptor are from gletang plant (Tridax procumbens Linn.). This study aim is to determine the value of binding affinity, the interaction between compounds and receptor, and the effect of drug components. The research was conducted by in-silico through the molecular docking process of 3CLpro receptor and antivirus compounds of gletang (Tridax procumbens Linn.), including betulinic acid, kaempferol and lignan. The results showed that the binding affinity of betulinic acid was -6.6 kcal/mol, kaempferol was -5.6 kcal/ mol and lignan was -5.4 kcal/mol. The interaction form of compounds and receptor was hydrogen bond, electrostatic, hydrophobic, and van der Waals. Compared to baicalein compound as a positive control with the value of binding affinity was -6.7 kcal/mol and its interaction with 3CLpro receptor, showed betulinic acid, kaempferol and lignan have smaller ability but they have the potential to inhibit the 3CLpro receptor. Copyright © 2022 Phcogj.Com.

3.
Pharmacognosy Journal ; 14(5):575-579, 2022.
Article in English | EMBASE | ID: covidwho-2144793

ABSTRACT

The global COVID-19 pandemic caused by SARS-CoV-2 has been the resulted of massive human deaths since early 2020. The purpose of this study was to determine the potential of mangosteen (Garcinia mangostana L.) as an inhibitor of RBD spike, helicase, Mpro, and RdRp activity of SARS-CoV-2 with an in silico approach. The samples were obtained from PubChem and RCSB PDB. Analysis of the similarity of the drug was carried out with the Swiss ADME on the basis of Lipinski rule of five. Prediction of antivirus probabilities was carried out using PASS Online. Molecular screening was performed using PyRx through molecular docking. Discovery Studio was used for visualization. The bioactive compounds with the highest antiviral potential were indicated with the lowest binding affinity to the targeted proteins RBD spike, helicase, Mpro, and RdRp of SARS-CoV-2. The results indicated that mangiferin has the greatest potential as a potential antiviral. However, more research is required to validate the results of these computational predictions. Copyright © 2022 Phcogj.Com.

4.
Pharmacognosy Journal ; 14(5):565-574, 2022.
Article in English | EMBASE | ID: covidwho-2144792

ABSTRACT

The aim of this study is to screen the content of bioactive compounds of Moringa oleifera and to identify its potential as an antiviral against COVID 19 through an entry inhibitor mechanism using bioinformatics tools. The sample was obtained from PubChem database. Amino acis sequences were obtained from the NCBI. Protein modeling is made through the SWISSMODEL site. The target proteins for this study were SARS-CoV-2 Mpro and RdRp. The protein-inhibitory interaction of the drug from M. oleifera bioactive compounds to SARS-CoV-2 was predicted by molecular docking with PyRx software.The result shows that M. oleifera was a potential antiviral candidate for SARS-CoV-2 with an entry inhibitor mechanism through a compound, especially quercetin. The RFMS value of both interactions between Mpro and quercetion and RdRp with quercetin were not higher than 1.05. This result still needed further research to prove this prediction. Copyright © 2022 Phcogj.Com. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.

5.
Pharmacognosy Journal ; 14(1):85-90, 2022.
Article in English | CAB Abstracts | ID: covidwho-1903772

ABSTRACT

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the virus that causes COVID-19 which is responsible for respiratory illness infection in humans. The virus was first identified in China in 2019 and later spread to other countries worldwide. This study aims to identify the bioactive compounds from mangosteen (Garcinia mangostana L.) as an antiviral agent via dual inhibitor mechanisms against two SARS-CoV-2 proteases through the in silico approach. The three-dimensional structure of various bioactive compounds of mangosteen from the database was examined. Furthermore, all the target compounds were analyzed for drug, antiviral activity prediction, virtual screening, molecular interactions, and threedimensional structure visualization. It aimed to determine the potential of the bioactive compounds from mangosteen that can serve as antiviral agents to fight SARS-CoV-2. Results showed that the bioactive compounds from mangosteen have the prospective to provide antiviral agents that contradict the virus via dual inhibitory mechanisms. In summary, the binding of the various bioactive compounds from mangosteen results in low binding energy and is expected to have the ability to induce any activity of the target protein binding reaction. Therefore, it allows various bioactive compounds from mangosteen to act as dual inhibitory mechanisms for COVID-19 infection.

SELECTION OF CITATIONS
SEARCH DETAIL