scholarly journals COMPUTATIONAL SCREENING OF ANTI-DIABETIC MOLECULES FROM MICROALGAE METABOLITES BY MOLECULAR DOCKING

2017 ◽  
Vol 3 (2) ◽  
pp. 1-7
Author(s):  
Turgay Cakmak ◽  
◽  
Gurudeeban Selvaraj
Keyword(s):  
Molecular Docking ◽  
Computational Screening

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 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.

scholarly journals Computational Screening of Phytochemicals from Medicinal plants as COVID-19 Inhibitors

2020 ◽  
Author(s):  
Alisha Khandelwal ◽  
Tripti Sharma
Keyword(s):  
Molecular Docking ◽  
Medicinal Plants ◽  
Drug Development ◽  
Binding Affinity ◽  
Bioactive Compound ◽  
Docking Studies ◽  
Computational Screening ◽  
Natural Inhibitor ◽  
Almost All ◽  
High Binding Affinity

<p>In this research a dataset of plant based bioactive compound was developed. A total of 101 phytochemicals were selected, virtually designed and its binding affinity with ACE enzyme was studied by molecular docking. Human ACE related carboxypeptidase and complex (PDB ID: 1R42) and (PDB ID: 6CS2) were selected for molecular docking studies as corona virus binds to ACE2 to enter into the host cell. Docking score results revealed that almost all selected phytochemicals binds to the pocket of the human ACE protein with high binding affinity and the scores were compared with chloroquine and hydroxychloroquine. The drug likeliness and ADMET analysis of all the screened compounds were performed. Two potential compound 6-α-acetoxygedunin and echitamine exhibited optimum binding with both the receptor.These phytochemicals can serve as lead molecule for further optimization and drug development against COVID-19. Therefore, it is predicted that the insights in the present study could be regarded valuable towards development of natural inhibitor of this virus.</p>

scholarly journals Computational Screening of Phytochemicals from Medicinal plants as COVID-19 Inhibitors

2020 ◽  
Author(s):  
Alisha Khandelwal ◽  
Tripti Sharma
Keyword(s):  
Molecular Docking ◽  
Medicinal Plants ◽  
Drug Development ◽  
Binding Affinity ◽  
Bioactive Compound ◽  
Docking Studies ◽  
Computational Screening ◽  
Natural Inhibitor ◽  
Almost All ◽  
High Binding Affinity

<p>In this research a dataset of plant based bioactive compound was developed. A total of 101 phytochemicals were selected, virtually designed and its binding affinity with ACE enzyme was studied by molecular docking. Human ACE related carboxypeptidase and complex (PDB ID: 1R42) and (PDB ID: 6CS2) were selected for molecular docking studies as corona virus binds to ACE2 to enter into the host cell. Docking score results revealed that almost all selected phytochemicals binds to the pocket of the human ACE protein with high binding affinity and the scores were compared with chloroquine and hydroxychloroquine. The drug likeliness and ADMET analysis of all the screened compounds were performed. Two potential compound 6-α-acetoxygedunin and echitamine exhibited optimum binding with both the receptor.These phytochemicals can serve as lead molecule for further optimization and drug development against COVID-19. Therefore, it is predicted that the insights in the present study could be regarded valuable towards development of natural inhibitor of this virus.</p>

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