The Potential of Antivirus Compounds in Gletang (Tridax procumbens Linn.) in Inhibiting 3CLpro Receptor of SARS-CoV-2 Virus by In Silico

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.

In Silico Screening of Bioactive Compounds from Garcinia mangostana L. Against SARS-CoV-2 via Tetra Inhibitors

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.

In Silico Study of Entry Inhibitor from Moringa oleifera Bioactive Compounds against SARS-CoV-2 Infection

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.

Bioactive Compounds from Purslane (Portulaca oleracea L.) and Star Anise (Illicium verum Hook) as SARS-CoV-2 Antiviral Agent via Dual Inhibitor Mechanism: In Silico Approach

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes the COVID-19 pandemic that infects humans and attacks the body's immune system. The purpose of the study was to identify the potential of bioactive compounds in purslane (Portulaca oleracea L.) and star anise (Illicium verum Hook) via a dual inhibitor mechanism against SARS-CoV-2 proteases with an in silico approach. The samples were obtained from PubChem and RSCB PDB. Antivirus probability prediction was performed on PASS Online. Virtual screening was performed with PyRx via molecular docking. Visualization was used by PyMol and Discovery Studio. Compounds with the best antiviral potential are indicated by the low binding affinity value to the target proteins, namely SARS-CoV-2 TMPRSS2 and PLpro. The results showed that purslane luteolin has the best antiviral potential. However, further studies are required to validate this computational prediction. © 2022 Phcogj.Com.

In Silico Screening of Bioactive Compounds from Syzygium cumini L. and Moringa oleifera L. Against SARS-CoV-2 via Tetra Inhibitors

The global pandemic of COVID-19 has caused disastrous consequences for both humans and the economy. The purpose of this study was to determine the potential of juwet (Syzygium cumini L.) and moringa (Moringa oleifera L.) as inhibitors of RBD spike, helicase, Mpro, and RdRp activity of SARS-CoV-2 with an in-silico approach. Samples were obtained from PubChem and RSCB PDB databases. The drug similarity analysis was determined using Swiss ADME and the Lipinski rule of five. Prediction of antivirus probabilities is carried out with PASS Online. Molecular screening is performed by molecular docking using PyRx. Visualization was used using PyMol and Discovery Studio. The bioactive compounds with the best antiviral potential had the lowest affinity bonds to the target proteins against RBD spike, helicase, Mpro, and RdRp of SARS-CoV-2. Results show that ellagic acid from java plum and myricetin from moringa have the best potential as potential antivirals. However, more research is required to validate the results of these computational predictions.

In Silico Phytochemical Compounds Screening of Allium sativum Targeting the Mpro of SARS-CoV-2

The global pandemic of coronavirus disease is still widely spread across the world causing catastrophic effect in both human life and global economy. By the end of year 2021, it has caused a total of 5.437.636 deaths across the world. Indonesia has rich plant biodiversity including medicinal plants that may be used for combating the virus. One of the commonly used medicinal plants comes from Allium species and it has been proved to have antiviral activity. Conducting an in silico study, we screened bioactive compounds that came from Allium sativum to fight against coronavirus through the inhibition of 3CL-Pro, one of the major protease that have an active role for viral replication. Molecular docking of compounds from Allium sativum to 3CL-Pro resulting in the discovery of 5 compounds that have the best binding affinity to 3CL-Pro, which are squalene, 1,4-dihydro-2,3-benzoxathiin 3-oxide, 1,2,3-propanetriyl ester, trans-13-octadecenoic acid and methyl-11-hexadecenoate with binding affinity of -7, -6.5, -5.9, -5.7 and -5.6 kcal/mol, respectively. It is very likely that these compounds can be candidates for therapeutic agents and these candidates need to be studied further.

Bioactive compounds from mangosteen (Garcinia mangostana L.) as an antiviral agent via dual inhibitor mechanism against SARSCoV- 2: an in silico approach

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.

Macroalgae Bioactive Compounds for the Potential Antiviral of SARS-CoV-2: An In Silico Study

Coronavirus disease (COVID-19), which was due to novel coronavirus was detected in December 2019 in Wuhan, China for the first time and spread rapidly became a global pandemic. This study aimed to predict the potential of macroalgae compounds as SARS-CoV-2 antiviral by inhibiting of ACE2 receptor through in silico approach. Twenty-seven macroalgae compounds were obtained from PubChem (NCBI, USA), while target protein ACE2 receptor was collected from Protein Data Bank (PDB). Then the initial screening study drug-likeness conducted by Lipinski rule of five web server and prediction of bioactive probability carried out by PASS (Prediction of activity spectra for biologically active substances) Online web server. After those compounds were approved by Lipinski's rule of five and PASS online prediction web server, the blind docking simulation was performed using PyRx 0.8 software to show binding energy value. Molecular interaction analysis was done using BIOVIA Discovery Studio 2016 v16.1.0 and PyMOL v2.4.1 software. There are six macroalgae compounds approved by Lipinski's rule of five and PASS Online Analysis. The result is that macroalgae compound siphonaxanthin among 27 macroalgae compound showed strong binding energy to bind ACE2 receptor with -8.8 kcal/mol. This study also used the SARS-CoV-2 drugs as positive control: remdesivir, molnupiravir, baricitinib, lopinavir, oseltamivir, and favipiravir. The result shows that siphonaxanthin has lowest binding energy than the common SARS-CoV-2 drug. Macroalgae compounds are predicted to have potential as SARS-CoV-2 antiviral. Thus, extension studies need to investigate by in vitro and in vivo analysis for confirmation the siphonaxanthin's inhibitory activity in combat SARS-CoV-2.

MOLECULAR DOCKING AND DYNAMIC SIMULATION OF ENTRY INHIBITOR FROM TAMARINDUS INDICA BIOACTIVE COMPOUNDS AGAINST SARS-COV-2 INFECTION VIA VIROINFORMATICS STUDY

A massive transmission of SARS-CoV-2, which happens particularly in developing countries has continuously triggered a COVID-19 tsunami and may genuinely increase the mortality number. The significant mortality rate caused by the SARS-CoV-2 pandemic has made it a major world problem. Viral infectivity could arise from the lack of information on the specific antiviral drug. Tamarindus indica has been proven to be a potential antiviral through in vivo research as it decreases viral load in animal viruses. Nevertheless, at the preliminary stage, evidence-based approach like in silico study is necessitated to evaluate its potential as an antiviral in humans. This study screened the content of the active compounds of Tamarindus indica and identified its potential as an antiviral toward SARS-CoV-2 through an entry inhibitor mechanism using bioinformatics tools. Sample retrieval was carried out in the database, then the sample was identified for drug-likeness on the server. Likewise, molecular docking and dynamic simulations were carried out on the identified bioactive compounds. The results showed that all the bioactive compounds possess drug-like molecules and β-sitosterol has the most negative binding affinity. Tamarindus indica is predicted to be an antiviral candidate for SARS-CoV-2 with an entry inhibitor mechanism through a compound, specifically called β-sitosterol.

Herbal combination from Moringa oleifera Lam. and Curcuma longa L. as SARS-CoV-2 antiviral via dual inhibitor pathway: A viroinformatics approach

Context: The COVID-19 outbreak is caused by the transmission and infection of SARS-CoV-2 at the end of 2019. It has led many countries to implement lockdown policies to prevent the viral spreading. Problems arise in a COVID-19 patient because of viral infection that leads to a systemic response in the immune system, specifically due to cytokine storm. Moreover, the antiviral drugs that have not been found. Indonesia had a variety of traditional medicines, such as is 'jamu'. It consists of a mixture of natural ingredients such as Moringa oleifera Lam. and Curcuma longa L. Aims: To identify the activity of dual inhibitors as antiviral and anti-inflammatory agents from herbal combination compounds. Methods: Sample was collected from PubChem (NCBI, USA) and Protein Data Bank (PDB), then drug-likeness analysis using Lipinski rule of five in SCFBIO web server and bioactive probability analysis of bioactive compounds were conducted by PASS web server. Furthermore, the blind docking method was performed using PyRx 0.8 software to determine the binding activity and molecular interaction by PoseView web server and PyMol software v2.4.1 (Schrodinger, Inc, USA). Results: Cryptochlorogenic acid and curcumin have been computationally proven as dual inhibitors for antivirals by inhibiting Mpro SARS-CoV-2 and as anti-inflammatory through inhibition of NFKB1 activity. However, the results are merely computational so that it must be validated through a wet lab research. Conclusions: The combination of Moringa oleifera Lam. and Curcuma longa L. is predicted to have antiviral and anti-inflammatory activity through dual inhibitor mechanism played by cryptochlorogenic acid and curcumin.

Development of e-Learning Courses for Subjects about 'Learn and Learning' with Moodle-based for Prospective Teacher in Indonesia

Online learning is the key to the implementation of learning in the Covid 19 pandemic and the New Normal era. The purpose of this study was to determine the effectiveness of the e-learning course on subjects 'Learn and Learning' with Moodle-based for prospective teachers in Indonesia. This research was conducted using the Berg and Gail development method. The development instruments were validated by experts, and further product development was carried out in an integrated and simultaneous manner by the Higher Education Research Consortium Team (KRUPT) from Padang State University, Malang State University, Jakarta State University, Medan State University and Surabaya State University. This product is declared valid by the Expert, both in content, design and IT. Tests were limited during the Covid 19 pandemic and data collection was carried out online. Data collected in the form of an online questionnaire to student respondents (n = 40). Based on respondent questionnaire data, this product was declared to be very suitable for online learning, reaching 3.967 which indicated the highly acceptance level. Based on this research, it was concluded that e-learning products for subjects with learning and learning subjects could be widely used in the Educational Personnel Education Institution in Indonesia. © Published under licence by IOP Publishing Ltd.

Development of Moodle-based Content Learning System in MKDK Student Development Subjects at LPTK in Indonesia

Learning in the industrial revolution era 4.0 and the Covid 19 pandemic period shifted towards digital and online learning. This research aims to analyze the Basic Educational Course (MKDK) elearning product for Student Development that was developed. The method used is mixed method research, qualitative and quantitative mixture. The development of e-learning products uses the Borg and Gall method, while validity and practicality are carried out by questionnaire analysis to respondents online. The instruments for product development and testing have been declared valid by Expert, both in content, design and IT. Based on data from respondents (n = 40), MKDK e-learning products have a high acceptability (3.84) and are appropriate to use. From the aspect of e-learning that was examined, the material portion or content substance had the highest yield, 4,215. Meanwhile, the evaluation aspect received the lowest score, which was 3,588. Based on this research, it was concluded that e-learning products for subjects with learning and learning subjects could be widely used in the Educational Institution (LPTK) in Indonesia. © Published under licence by IOP Publishing Ltd.