scholarly journals COMPUTATIONAL SCREENING AND MOLECULAR DOCKING OF LICHEN SECONDARY METABOLITES AGAINST SEVERE ACUTE RESPIRATORY SYNDROME-COV-2 MAIN PROTEASE AND SPIKE PROTEIN

2021 ◽  
pp. 100-104
Author(s):  
SENTHIL PRABHU S ◽  
SATHISHKUMAR R ◽  
KIRUTHIKA B
Keyword(s):  
Molecular Docking ◽  
Severe Acute Respiratory Syndrome ◽  
Study Finding ◽  
Spike Protein ◽  
Protein Targets ◽  
Lipinski’S Rule ◽  
Computational Screening ◽  
Main Protease ◽  
Lichen Compounds ◽  
Potential Inhibitors

Objective: At present, the coronavirus disease (COVID)-19 pandemic is increasing global health concerns. This coronavirus outbreak is caused by severe acute respiratory syndrome coronavirus (SARS-CoV)-2. Since, no specific antiviral for treatment against COVID-19, so identification of new therapeutics is an urgent need. The objective of this study is to the analysis of lichen compounds against main protease and spike protein targets of SARS-CoV-2 using in silico approach. Methods: A total of 108 lichen compounds were subjected to ADMET analysis and 14 compounds were selected based on the ADMET properties and Lipinski’s rule of five. Molecular docking was performed for screening of selected individual lichen metabolites against the main protease and spike proteins of SARS-CoV-2 by Schrodinger Glide module software. Results: Among the lead compounds, fallacinol showed the highest binding energy value of −11.83 kcal/mol against spike protein, 4-O-Demethylbarbatic acid exhibited the highest dock score of −11.67 kcal/mol against main protease. Conclusion: This study finding suggests that lichen substances may be potential inhibitors of SARS-CoV-2.

Computational screening of dual inhibitors from FDA approved antiviral drugs on SARS-CoV-2 spike protein and the main protease using molecular docking approach

2021 ◽  
Vol 65 (02) ◽  
pp. 160-172
Author(s):  
Shanthi Sabarimurugan ◽  
Indu Purushothaman ◽  
Rajarajan Swaminathan ◽  
Arun Dharmarajan ◽  
Sudha Warrier ◽  
...  
Keyword(s):  
Molecular Docking ◽  
Antiviral Drugs ◽  
Spike Protein ◽  
Computational Screening ◽  
Main Protease ◽  
Docking Approach ◽  
Dual Inhibitors

scholarly journals Computational Estimation of Potential Inhibitors from the Known Drugs against the Main Protease of SARS-CoV-2

2021 ◽  
Author(s):  
Nguyen Minh Tam ◽  
Pham Minh Quan ◽  
Nguyen Xuan Ha ◽  
Pham Cam Nam ◽  
Huong Thi Thu Phung
Keyword(s):  
Molecular Docking ◽  
Severe Acute Respiratory Syndrome ◽  
Potential Application ◽  
Drug Database ◽  
Computational Estimation ◽  
Main Protease ◽  
Potential Inhibitors

The coronavirus disease (COVID-19) pandemic caused by a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has rapidly spread worldwide recently, leading to a global social and economic disruption. Although the emergently approved vaccine programs against SARS-CoV-2 have been rolled out globally, the number of COVID-19 daily cases and deaths has remained significantly high. Here, we attempted to computationally screen for possible medications for COVID-19 via rapidly estimate the highly potential inhibitors from an FDA-approved drug database against the main protease (Mpro) of SARS-CoV-2. The approach combined molecular docking and fast pulling of ligand (FPL) simulations that were demonstrated to be accurate and suitable for quick prediction of SARS-CoV-2 Mpro inhibitors. The results suggested that twentyseven compounds were capable of strongly associating with SARS-CoV-2 Mpro. Among them, the seven top leads are daclatasvir, teniposide, etoposide, levoleucovorin, naldemedine, cabozantinib, and irinotecan. The potential application of these drugs in COVID-19 therapy has thus been discussed.

scholarly journals Computational analysis by molecular docking of thirty alkaloid compounds from medicinal plants as potent inhibitors of SARS-CoV-2 main protease

2021 ◽  
Vol 4 (4) ◽  
pp. 487-503
Author(s):  
Tunga Kuhana A ◽  
◽  
Jason T. Kilembe ◽  
Aristote Matondo ◽  
Khamis M. Yussuf ◽  
...  
Keyword(s):  
Molecular Docking ◽  
Binding Energy ◽  
Medicinal Plants ◽  
Computational Analysis ◽  
Potential Drug ◽  
Lipinski’S Rule ◽  
Main Protease ◽  
Lipinski’S Rule Of Five ◽  
Potential Inhibitors ◽  
Therapeutic Profile

Year 2020 has been highly affected by the COVID-19 outbreak. The urgent need for a potent and effective drug for the treatment of this malignancy put pressure on researchers and scientists worldwide to develop a potential drug or a vaccine to resist SARS-CoV-2 virus. We report in this paper the assessment of the efficiency of thirty alkaloid compounds derived from African medicinal plants against the SARS-CoV-2 main protease through molecular docking and bioinformatics approaches. The results revealed four potential inhibitors (ligands 18, 21, 23 and 24) with 12.26 kcal/mol being the highest binding energy. Additionally, in silico drug-likeness and ADMET (Absorption, Distribution, Metabolism, Excretion and Toxicity) properties for the four ligands showed a good predicted therapeutic profile of druggability, and fully obey the Lipinski's rule of five as well.

scholarly journals Natural xanthone compounds as promising drug candidates against COVID-19 - An integrated molecular docking and dynamics simulation study

2020 ◽  
Author(s):  
Shravan Kumar Gunda ◽  
Hima Kumari P ◽  
Gourav Choudhir ◽  
Anuj Kumar ◽  
P B. Kavi Kishor ◽  
...  
Keyword(s):  
Molecular Docking ◽  
Antiviral Agents ◽  
Binding Energies ◽  
Dynamics Simulation ◽  
Lipinski’S Rule ◽  
Drug Candidates ◽  
Main Protease ◽  
Lipinski’S Rule Of Five ◽  
Dynamics Simulations ◽  
Potential Inhibitors

Abstract Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes coronavirus disease2019 (COVID-19). SARS-CoV-2 is known for its high pathogenicity and transmission due to thepresence of polybasic cleavage sites. No specific drug is available for the treatment. To identifythe potential inhibitors, we have performed molecular docking against the SARS-CoV-2 mainprotease (6Y84) with fifteen important natural xanthone compounds. The docking results showedall the compounds exhibited good binding energies and interactions with the main protease. Thevalidation of representative docking complexes through molecular dynamics simulations showedthat xanthones binds with a higher binding affinity and lower free energy than the standardligand with Brasixanthone C and Brasixanthone B on 50 ns. Natural xanthone compounds havealso passed the Absorption, Distribution, Metabolism, and Excretion (ADME) property criteriaas well as Lipinski’s rule of five. The present integrated molecular docking and dynamicssimulations study unveil the use of xanthones as potential antiviral agents against SARS-CoV-2.

Molecular Docking Studies for Protein-Targeted Drug Development in SARS-CoV-2

2021 ◽  
Vol 18 ◽  
Author(s):  
Ahmad Dzulfikri Nurhan ◽  
Maria Apriliani Gani ◽  
Saipul Maulana ◽  
Siswandono Siswandono ◽  
Chrismawan Ardianto ◽  
...  
Keyword(s):  
Molecular Docking ◽  
Binding Energy ◽  
Docking Studies ◽  
Binding Energies ◽  
Spike Glycoprotein ◽  
Protein Targets ◽  
Lipinski’S Rule ◽  
Global Pandemic ◽  
Potential Inhibitors ◽  
3Cl Protease

Background: The SARS-CoV-2/COVID-19 infection has resulted in a global pandemic and emergency. Currently, there is no therapeutic agent that has been proven to be effective and selective to deal with this pandemic. Objective: In this study, we explored and screened 401 compounds-related viruses that may inhibit one or more of the three protein targets in SARS-CoV-2 (3CL protease, RdRp, and spike glycoprotein) using in-silico approach. Methods: Lipinski's rule of five was used as an initial screening for these compounds. Ligand preparation was carried out using JChem software and Schrödinger's LigPrep module, while protein elucidation used AutoDockTools-1.5.6. Molecular docking was analyzed using AutoDockVina. Results: A total of five compounds-related viruses were obtained from each SARS-CoV-2 protein with ideal and potential binding energy as a candidate for target protein inhibitor on SARS-CoV-2. At the protein 3CL protease imatinib, TAK-981, lopinavir, mefloquine, and sitagliptin were found to be potential inhibitors of this protein. In the protein RdRp tetrandrine, relacatib, AZD7986, imatinib, and TAK-981 revealed potential as an inhibitor of this protein. At the protein spike, glycoprotein AZD7986, selinexor, imatinib, lopinavir, and ciclesonide, were found to have potential as inhibitors of these proteins. All these compounds have better binding energy than the three comparator drugs (remdesivir, chloroquine, and hydroxychloroquine). Conclusion: We have obtained several compounds-related viruses with reliable binding energies to the SARS-CoV-2 proteins and potentially better than the three comparator drugs. Furthermore, this research will pave the way for accelerating the development of Covid-19 drugs.

scholarly journals Computational analysis by molecular docking of thirty alkaloid compounds from medicinal plants as potent inhibitors of SARS-CoV-2 main protease

2020 ◽  
Author(s):  
Tunga Kuhana A. ◽  
Jason T. Kilembe ◽  
Aristote Matondo ◽  
Khamis M. Yussuf ◽  
Lauraine Nininahazwe ◽  
...  
Keyword(s):  
Molecular Docking ◽  
Medicinal Plants ◽  
Computational Analysis ◽  
Binding Energies ◽  
Effective Drug ◽  
Potential Drug ◽  
Lipinski’S Rule ◽  
Main Protease ◽  
Lipinski’S Rule Of Five ◽  
Potential Inhibitors

Abstract 2020 has been highly affected by the COVID-19 outbreak. The urgent needs for a potent and effective drug for treatment of this malignance put pressure on researchers and scientists worldwide to develop potential drug or a vaccine to resist SARS-CoV-2. We report in this paper the assessment of the efficiency of thirty alkaloid compounds derived from African medicinal plants against the SARS-CoV-2 main protease through molecular docking and bioinformatics approaches. The results reveal four potential inhibitors (ligands 18, 21, 23 and 24) with the highest binding energies up to 12.26 kcal/mol with good profile of ADMET, as well as fully obey the Lipinski’s rule of five.

scholarly journals Potential Phytopharmaceutical Constituents of Solanum Trilobatum L. as Significant Inhibitors Against COVID-19: Robust-Binding Mode of Inhibition by Molecular Docking, PASS-Aid Bioactivity and ADMET Investigations

2020 ◽  
Author(s):  
Shanmugam Anandakumar ◽  
Damodharan Kannan ◽  
Eugene Wilson ◽  
Kasthuri Bai Narayanan ◽  
Ganesan Suresh ◽  
...  
Keyword(s):  
Molecular Docking ◽  
Binding Mode ◽  
Therapeutic Drug ◽  
The Novel ◽  
Lipinski’S Rule ◽  
Drug Candidates ◽  
Main Protease ◽  
Solanum Trilobatum ◽  
Novel Coronavirus ◽  
Potential Inhibitors

The novel coronavirus is better known as COVID–19 caused by Severe Acute Respiratory Syndrome Corona–Virus 2 (SARS–CoV–2) which initially outburst at Wuhan in China on December 2019 and spread very rapidly around the globe. Scientists from the global regions endeavours to still probe for detecting potential treatment and discover effective therapeutic drug candidates for this unabated pandemic. In our article, we reported the molecular docking, bioactivity score, ADME and toxicity prediction of the phytoconstituents of <i>Solanum trilobatum</i> Linn. such as Solanidine, Solasodine and <i>a</i>–Solanine as potential inhibitors against the main protease (M<sup>pro</sup>) of SARS–CoV–2 tropism. The molecular docking of Solanidine, Solasodine and a–Solanine has revealed that it bounded deep into the active cavity site on the M<sup>pro</sup>. Further, the pharmacodynamics and bioactivity profile has confirmed that the molecules obeyed the Lipinski’s rule and will be used as notably treasured lead drug candidates to pursue further biochemical and cell–based assays to explore its potential against COVID–19 pandemic. Thus, envisioning thought–provoking research certainly provide new leads for the global researchers.

scholarly journals Potential Phytopharmaceutical Constituents of Solanum Trilobatum L. as Significant Inhibitors Against COVID-19: Robust-Binding Mode of Inhibition by Molecular Docking, PASS-Aid Bioactivity and ADMET Investigations

2020 ◽  
Author(s):  
Shanmugam Anandakumar ◽  
Damodharan Kannan ◽  
Eugene Wilson ◽  
Kasthuri Bai Narayanan ◽  
Ganesan Suresh ◽  
...  
Keyword(s):  
Molecular Docking ◽  
Binding Mode ◽  
Therapeutic Drug ◽  
The Novel ◽  
Lipinski’S Rule ◽  
Drug Candidates ◽  
Main Protease ◽  
Solanum Trilobatum ◽  
Novel Coronavirus ◽  
Potential Inhibitors

The novel coronavirus is better known as COVID–19 caused by Severe Acute Respiratory Syndrome Corona–Virus 2 (SARS–CoV–2) which initially outburst at Wuhan in China on December 2019 and spread very rapidly around the globe. Scientists from the global regions endeavours to still probe for detecting potential treatment and discover effective therapeutic drug candidates for this unabated pandemic. In our article, we reported the molecular docking, bioactivity score, ADME and toxicity prediction of the phytoconstituents of <i>Solanum trilobatum</i> Linn. such as Solanidine, Solasodine and <i>a</i>–Solanine as potential inhibitors against the main protease (M<sup>pro</sup>) of SARS–CoV–2 tropism. The molecular docking of Solanidine, Solasodine and a–Solanine has revealed that it bounded deep into the active cavity site on the M<sup>pro</sup>. Further, the pharmacodynamics and bioactivity profile has confirmed that the molecules obeyed the Lipinski’s rule and will be used as notably treasured lead drug candidates to pursue further biochemical and cell–based assays to explore its potential against COVID–19 pandemic. Thus, envisioning thought–provoking research certainly provide new leads for the global researchers.

scholarly journals Computational Estimation of Potential Inhibitors from the Known Drugs against the Main Protease of SARS-CoV-2

2021 ◽  
Author(s):  
Nguyen Minh Tam ◽  
Pham Minh Quan ◽  
Nguyen Xuan Ha ◽  
Pham Cam Nam ◽  
Huong Thi Thu Phung
Keyword(s):  
Molecular Docking ◽  
Severe Acute Respiratory Syndrome ◽  
Potential Application ◽  
Drug Database ◽  
Computational Estimation ◽  
Main Protease ◽  
Potential Inhibitors

The coronavirus disease (COVID-19) pandemic caused by a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has rapidly spread worldwide recently, leading to a global social and economic disruption. Although the emergently approved vaccine programs against SARS-CoV-2 have been rolled out globally, the number of COVID-19 daily cases and deaths has remained significantly high. Here, we attempted to computationally screen for possible medications for COVID-19 via rapidly estimate the highly potential inhibitors from an FDA-approved drug database against the main protease (Mpro) of SARS-CoV-2. The approach combined molecular docking and fast pulling of ligand (FPL) simulations that were demonstrated to be accurate and suitable for quick prediction of SARS-CoV-2 Mpro inhibitors. The results suggested that twentyseven compounds were capable of strongly associating with SARS-CoV-2 Mpro. Among them, the seven top leads are daclatasvir, teniposide, etoposide, levoleucovorin, naldemedine, cabozantinib, and irinotecan. The potential application of these drugs in COVID-19 therapy has thus been discussed.

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