scholarly journals Olive-Derived Triterpenes Suppress SARS COV-2 Main Protease: A Promising Scaffold for Future Therapeutics

Molecules ◽  
2021 ◽  
Vol 26 (9) ◽  
pp. 2654
Author(s):  
Hani A. Alhadrami ◽  
Ahmed M. Sayed ◽  
Ahmed M. Sharif ◽  
Esam I. Azhar ◽  
Mostafa E. Rateb
Keyword(s):  
Inhibitory Activity ◽  
Binding Free Energy ◽  
In Silico Analysis ◽  
Cost Effective ◽  
Binding Mode ◽  
Structural Features ◽  
Protective Measure ◽  
Energy Calculation ◽  
Main Protease ◽  
Catalytic Active Site

SARS CoV-2 pandemic is still considered a global health disaster, and newly emerged variants keep growing. A number of promising vaccines have been recently developed as a protective measure; however, cost-effective treatments are also of great importance to support this critical situation. Previously, betulinic acid has shown promising antiviral activity against SARS CoV via targeting its main protease. Herein, we investigated the inhibitory potential of this compound together with three other triterpene congeners (i.e., ursolic acid, maslinic acid, and betulin) derived from olive leaves against the viral main protease (Mpro) of the currently widespread SARS CoV-2. Interestingly, betulinic, ursolic, and maslinic acids showed significant inhibitory activity (IC50 = 3.22–14.55 µM), while betulin was far less active (IC50 = 89.67 µM). A comprehensive in-silico analysis (i.e., ensemble docking, molecular dynamic simulation, and binding-free energy calculation) was then performed to describe the binding mode of these compounds with the enzyme catalytic active site and determine the main essential structural features required for their inhibitory activity. Results presented in this communication indicated that this class of compounds could be considered as a promising lead scaffold for developing cost-effective anti-SARS CoV-2 therapeutics.

scholarly journals Nelfinavir was predicted to be a potential inhibitor of 2019-nCov main protease by an integrative approach combining homology modelling, molecular docking and binding free energy calculation

2020 ◽  
Author(s):  
Zhijian Xu ◽  
Cheng Peng ◽  
Yulong Shi ◽  
Zhengdan Zhu ◽  
Kaijie Mu ◽  
...  
Keyword(s):  
Free Energy ◽  
Binding Free Energy ◽  
Homology Modelling ◽  
Binding Mode ◽  
Free Energy Calculations ◽  
Integrative Approach ◽  
Energy Calculation ◽  
Potential Inhibitor ◽  
Small Molecule Drugs ◽  
Main Protease

Abstract2019-nCov has caused more than 80 deaths as of 27 January 2020 in China, and infection cases have been reported in more than 10 countries. However, there is no approved drug to treat the disease. 2019-nCov Mpro is a potential drug target to combat the virus. We built homology models based on SARS Mpro structures, and docked 1903 small molecule drugs to the models. Based on the docking score and the 3D similarity of the binding mode to the known Mpro ligands, 4 drugs were selected for binding free energy calculations. Both MM/GBSA and SIE methods voted for nelfinavir, with the binding free energy of −24.69±0.52 kcal/mol and −9.42±0.04 kcal/mol, respectively. Therefore, we suggested that nelfinavir might be a potential inhibitor against 2019-nCov Mpro.

Application of the ESMACS Binding Free Energy Protocol to a Highly Varied Ligand Dataset: Lactate Dehydogenase A

2019 ◽  
Author(s):  
David Wright ◽  
Fouad Husseini ◽  
Shunzhou Wan ◽  
Christophe Meyer ◽  
Herman Van Vlijmen ◽  
...  
Keyword(s):  
Free Energy ◽  
Surface Area ◽  
Binding Free Energy ◽  
Normal Mode Analysis ◽  
Binding Mode ◽  
Accessible Surface Area ◽  
Solvent Accessible Surface Area ◽  
Mode Analysis ◽  
Energy Calculation ◽  
Accessible Surface

<div>Here, we evaluate the performance of our range of ensemble simulation based binding free energy calculation protocols, called ESMACS (enhanced sampling of molecular dynamics with approximation of continuum solvent) for use in fragment based drug design scenarios. ESMACS is designed to generate reproducible binding affinity predictions from the widely used molecular mechanics Poisson-Boltzmann surface area (MMPBSA) approach. We study ligands designed to target two binding pockets in the lactate dehydogenase A target protein, which vary in size, charge and binding mode. When comparing to experimental results, we obtain excellent statistical rankings across this highly diverse set of ligands. In addition, we investigate three approaches to account for entropic contributions not captured by standard MMPBSA calculations: (1) normal mode analysis, (2) weighted solvent accessible surface area (WSAS) and (3) variational entropy. </div>

Search for active candidates in a range of flavonoids regarding SARS-CoV-2 by the method of molecular docking

2021 ◽  
pp. 22-35
Author(s):  
Stanislav V. Pechinskii ◽  
Eduard T. Oganesyan ◽  
Anna G. Kuregyan
Keyword(s):  
Molecular Docking ◽  
Antiviral Activity ◽  
Cost Effective ◽  
Structural Features ◽  
Biologically Active ◽  
Active Structures ◽  
Main Protease ◽  
Targeted Screening ◽  
The Relationship ◽  
Structure And Activity

Molecular docking is a convenient and cost-effective tool for targeted screening of biologically active structures. This method makes it possible to reveal the relationship between structure and activity, as well as to search for new active compounds. Due to the fact that the antiviral activity of flavonoids and their derivatives has been shown experimentally and clinically, the study of their antiviral activity against SARS-CoV-2 is a promising study. In an in silico experiment, the possibility of binding 20 flavonoid ligands and the main protease SARS-CoV-2 was studied. The structural features of flavone and flavanone derivatives have been determined, which determine their ability to block the main protease of the SARS-CoV-2 virus. Structures of eight new candidates that bind the main protease SARS-CoV-2, which have the prospect of synthesis and further pharmacological research, have been proposed.

scholarly journals In-Silico Analysis of nsSNPs Associated with CYP11B2 Gene

2019 ◽  
Author(s):  
Anam Arooj ◽  
Muhammad Tariq Pervez ◽  
Zeeshan Gillani ◽  
Tahir Ali Chohan ◽  
M. Tayyab Chaudhry ◽  
...  
Keyword(s):  
Active Site ◽  
Binding Free Energy ◽  
In Silico Analysis ◽  
The Body ◽  
Dynamics Simulation ◽  
Energy Calculation ◽  
Simulation Techniques ◽  
Functional Aspects ◽  
Excess Production ◽  
Active Site Cavity

AbstractCYP11B2gene is located over the upper layer of the kidney. It produces aldosterone synthase enzyme and thereby has an essential role to balance salt and mineral level in the body. A mutation in this gene can deregulate the production of aldosterone hormone in the body which may lead to many diseases including hypertension and cardiac diseases. To control the excess production of this aldosterone an inhibitor “Fadrozole” is being used which is associated with an active site cavity of CYP11B2. This study has been divided into two parts. In the first part, the four computational tools (SIFT, Polyphen-2, I-Mutant, ConSurf) were used to identify 29 deleterious SNPs out of 1600CYP11B2SNPs. In the second part, five residues (R448G, R141P, W260R, F130S, and F445S) were identified in the active site cavity (out of 29 deleterious CYP11B2 SNPs) at the distance of 5A°. Binding free energy calculation as well as Dynamics simulation techniques were applied to determine the effect of these mutations on the CYP11B2-Fadrozole compound. The results showed thatFadrozolebinding with CYP11B2 became stronger which proved the efficiency of this drug inhibitor with these highly damaging mutations. Our study will be useful for selecting the high priority CYP11B2 mutations, which could be further, investigated in this gene-associated study, for better understanding of the structural and functional aspects of the observed (CYP11B2) protein.

scholarly journals Drug Repurposing Against SARS-CoV-2 Using E-Pharmacophore Based Virtual Screening and Molecular Docking with Main Protease as the Target

2020 ◽  
Author(s):  
arun kumar ◽  
Sharanya C.S ◽  
Abhithaj J ◽  
Dileep Francis ◽  
Sadasivan C
Keyword(s):  
Free Energy ◽  
Molecular Docking ◽  
Drug Target ◽  
Binding Free Energy ◽  
Drug Repurposing ◽  
Energy Calculation ◽  
Viral Protease ◽  
Energy Estimation ◽  
Main Protease ◽  
Potential Inhibitors

Since its first report in December 2019 from China the COVID-19 pandemic caused by the beta-coronavirus SARS-CoV-2 has spread at an alarming pace infecting about 26 lakh, and claiming the lives of more than 1.8 lakh individuals across the globe. Although social quarantine measures have succeeded in containing the spread of the virus to some extent, the lack of a clinically approved vaccine or drug remains the biggest bottleneck in combating the pandemic. Drug repurposing can expedite the process of drug development by identifying known drugs which are effective against SARS-CoV-2. The SARS-CoV-2 main protease is a promising drug target due to its indispensable role in viral multiplication inside the host. In the present study an E-pharmacophore hypothesis was generated using the crystal structure of the viral protease in complex with an imidazole carbaximide inhibitor as the drug target. Drugs available in the superDRUG2 database were used to identify candidate drugs for repurposing. The hits were further screened using a structure based approach involving molecular docking at different precisions. The most promising drugs were subjected to binding free energy estimation using MM-GBSA. Among the 4600 drugs screened 17 drugs were identified as candidate inhibitors of the viral protease based on the glide scores obtained from molecular docking. Binding free energy calculation showed that six drugs viz, Binifibrate, Macimorelin acetate, Bamifylline, Rilmazafon, Afatinib and Ezetimibe can act as potential inhibitors of the viral protease.

scholarly journals Docking Characterization and in vitro Inhibitory Activity of Flavan-3-ols and Dimeric Proanthocyanidins Against the Main Protease Activity of SARS-Cov-2

2020 ◽  
Vol 11 ◽  
Author(s):  
Yue Zhu ◽  
De-Yu Xie
Keyword(s):  
Hydrogen Bonds ◽  
Inhibitory Activity ◽  
Docking Simulation ◽  
Binding Pocket ◽  
Structural Features ◽  
The Other ◽  
Main Protease ◽  
Inhibitory Activities ◽  
The One

We report to use the main protease (Mpro) of SARS-Cov-2 to screen plant flavan-3-ols and proanthocyanidins. Twelve compounds, (–)-afzelechin (AF), (–)-epiafzelechin (EAF), (+)-catechin (CA), (–)-epicatechin (EC), (+)-gallocatechin (GC), (–)-epigallocatechin (EGC), (+)-catechin-3-O-gallate (CAG), (–)-epicatechin-3-O-gallate (ECG), (–)-gallocatechin-3-O-gallate (GCG), (–)-epigallocatechin-3-O-gallate (EGCG), procyanidin A2 (PA2), and procyanidin B2 (PB2), were selected for docking simulation. The resulting data predicted that all 12 metabolites could bind to Mpro. The affinity scores of PA2 and PB2 were predicted to be −9.2, followed by ECG, GCG, EGCG, and CAG, −8.3 to −8.7, and then six flavan-3-ol aglycones, −7.0 to −7.7. Docking characterization predicted that these compounds bound to three or four subsites (S1, S1′, S2, and S4) in the binding pocket of Mpro via different spatial ways and various formation of one to four hydrogen bonds. In vitro analysis with 10 available compounds showed that CAG, ECG, GCG, EGCG, and PB2 inhibited the Mpro activity with an IC50 value, 2.98 ± 0.21, 5.21 ± 0.5, 6.38 ± 0.5, 7.51 ± 0.21, and 75.3 ± 1.29 μM, respectively, while CA, EC, EGC, GC, and PA2 did not have inhibitory activities. To further substantiate the inhibitory activities, extracts prepared from green tea (GT), two muscadine grapes (MG), cacao, and dark chocolate (DC), which are rich in CAG, ECG, GAG, EGCG, or/and PB2, were used for inhibitory assay. The resulting data showed that GT, two MG, cacao, and DC extracts inhibited the Mpro activity with an IC50 value, 2.84 ± 0.25, 29.54 ± 0.41, 29.93 ± 0.83, 153.3 ± 47.3, and 256.39 ± 66.3 μg/ml, respectively. These findings indicate that on the one hand, the structural features of flavan-3-ols are closely associated with the affinity scores; on the other hand, the galloylation and oligomeric types of flavan-3-ols are critical in creating the inhibitory activity against the Mpro activity.

Application of the ESMACS Binding Free Energy Protocol to a Highly Varied Ligand Dataset: Lactate Dehydogenase A

2019 ◽  
Author(s):  
David Wright ◽  
Fouad Husseini ◽  
Shunzhou Wan ◽  
Christophe Meyer ◽  
Herman Van Vlijmen ◽  
...  
Keyword(s):  
Free Energy ◽  
Surface Area ◽  
Binding Free Energy ◽  
Normal Mode Analysis ◽  
Binding Mode ◽  
Accessible Surface Area ◽  
Solvent Accessible Surface Area ◽  
Mode Analysis ◽  
Energy Calculation ◽  
Accessible Surface

<div>Here, we evaluate the performance of our range of ensemble simulation based binding free energy calculation protocols, called ESMACS (enhanced sampling of molecular dynamics with approximation of continuum solvent) for use in fragment based drug design scenarios. ESMACS is designed to generate reproducible binding affinity predictions from the widely used molecular mechanics Poisson-Boltzmann surface area (MMPBSA) approach. We study ligands designed to target two binding pockets in the lactate dehydogenase A target protein, which vary in size, charge and binding mode. When comparing to experimental results, we obtain excellent statistical rankings across this highly diverse set of ligands. In addition, we investigate three approaches to account for entropic contributions not captured by standard MMPBSA calculations: (1) normal mode analysis, (2) weighted solvent accessible surface area (WSAS) and (3) variational entropy. </div>

Targeting Peptidyl-prolyl Cis-trans Isomerase NIMA-interacting 1: A Structure-based Virtual Screening Approach to Find Novel Inhibitors

2020 ◽  
Vol 16 (5) ◽  
pp. 605-617 ◽  
Author(s):  
Kauê Santana da Costa ◽  
João M. Galúcio ◽  
Deivid Almeida de Jesus ◽  
Guelber Cardoso Gomes ◽  
Anderson Henrique Lima e Lima ◽  
...  
Keyword(s):  
Inhibitory Activity ◽  
Binding Free Energy ◽  
Md Simulations ◽  
Binding Mode ◽  
Free Energy Calculations ◽  
Pentacyclic Triterpenoids ◽  
Substrate Peptide ◽  
Molecular Mechanism Of Action ◽  
Structural Insights ◽  
Virtual Screening Approach

Background : Peptidyl-prolyl cis-trans isomerase NIMA-interacting 1 (Pin1) is an enzyme that isomerizes phosphorylated serine or threonine motifs adjacent to proline residues. Pin1 has important roles in several cellular signaling pathways, consequently impacting the development of multiple types of cancers. Methods: Based on the previously reported inhibitory activity of pentacyclic triterpenoids isolated from the gum resin of Boswellia genus against Pin1, we designed a computational experiment using molecular docking, pharmacophore filtering, and structural clustering allied to molecular dynamics (MD) simulations and binding free energy calculations to explore the inhibitory activity of new triterpenoids against Pin1 structure. Results: Here, we report different computational evidence that triterpenoids from neem (Azadirachta indica A. Juss), such as 6-deacetylnimbinene, 6-Oacetylnimbandiol, and nimbolide, replicate the binding mode of the Pin1 substrate peptide, interacting with high affinity with the binding site and thus destabilizing the Pin1 structure. Conclusion: Our results are supported by experimental data, and provide interesting structural insights into their molecular mechanism of action, indicating that their structural scaffolds could be used as a start point to develop new inhibitors against Pin1.

scholarly journals A Drug Repurposing Approach to Identify Therapeutics by Screening Medicines for Malaria Ventures Exploiting SARS-CoV-2 Main Protease

2021 ◽  
Author(s):  
Rashmi Tyagi ◽  
Anubrata Paul ◽  
V. Samuel Raj ◽  
Krishna Kumar Ojha ◽  
Manoj Kumar Yadav
Keyword(s):  
Free Energy ◽  
Catalytic Domain ◽  
Binding Free Energy ◽  
Dynamics Simulation ◽  
Radius Of Gyration ◽  
Energy Calculation ◽  
High Morbidity ◽  
Molecular Docking Study ◽  
Virus Propagation ◽  
Main Protease

<p>COVID-19 pandemic makes the human-kind standstill and results in high morbidity and mortality cases worldwide. Still, there are no approved antiviral drugs with proven efficacy nor any therapeutic vaccines to combat the disease as per the current date. In the present study, SARS-CoV-2 main protease (Mpro) has been taken as a potential drug target considering its crucial role in virus propagation. We have used 400 diverse bioactive inhibitors with proven antibacterial and antiviral properties for screening against Mpro target. Our screening result identifies ten compounds with higher binding affinity than N3 (used as a reference compound to validate the experiment). All the compounds possess desire physicochemical properties. Later on, in-depth docking and superimposition of selected complexes confirm that only three compounds (MMV1782211, MMV1782220 and MMV1578574) are actively interacting with the catalytic domain of Mpro. </p> <p>Furthermore, the selected three molecules complexed with Mpro and N3-Mpro as control are subjected to molecular dynamics simulation study (root means square deviation, root mean square fluctuation, hydrogen bonding, solvent-accessible area and radius of gyration). MMV1782211-Mpro complex shows a strong and stable interaction as compared to others. The MM/PBSA free energy calculation shows the highest binding free energy of –115.8 kJ/mol for MMV1782211 compound also cross-confirms our molecular docking study. Therefore, our <i>in silico</i> findings become very interesting towards developing alternative medicine against SARS-CoV-2 Mpro target. So, we can expect prompt actions in this direction to combat the COVID-19.</p>

scholarly journals Drug Repurposing Against SARS-CoV-2 Using E-Pharmacophore Based Virtual Screening and Molecular Docking with Main Protease as the Target

2020 ◽  
Author(s):  
arun kumar ◽  
Sharanya C.S ◽  
Abhithaj J ◽  
Dileep Francis ◽  
Sadasivan C
Keyword(s):  
Free Energy ◽  
Molecular Docking ◽  
Drug Target ◽  
Binding Free Energy ◽  
Drug Repurposing ◽  
Energy Calculation ◽  
Viral Protease ◽  
Energy Estimation ◽  
Main Protease ◽  
Potential Inhibitors

Since its first report in December 2019 from China the COVID-19 pandemic caused by the beta-coronavirus SARS-CoV-2 has spread at an alarming pace infecting about 26 lakh, and claiming the lives of more than 1.8 lakh individuals across the globe. Although social quarantine measures have succeeded in containing the spread of the virus to some extent, the lack of a clinically approved vaccine or drug remains the biggest bottleneck in combating the pandemic. Drug repurposing can expedite the process of drug development by identifying known drugs which are effective against SARS-CoV-2. The SARS-CoV-2 main protease is a promising drug target due to its indispensable role in viral multiplication inside the host. In the present study an E-pharmacophore hypothesis was generated using the crystal structure of the viral protease in complex with an imidazole carbaximide inhibitor as the drug target. Drugs available in the superDRUG2 database were used to identify candidate drugs for repurposing. The hits were further screened using a structure based approach involving molecular docking at different precisions. The most promising drugs were subjected to binding free energy estimation using MM-GBSA. Among the 4600 drugs screened 17 drugs were identified as candidate inhibitors of the viral protease based on the glide scores obtained from molecular docking. Binding free energy calculation showed that six drugs viz, Binifibrate, Macimorelin acetate, Bamifylline, Rilmazafon, Afatinib and Ezetimibe can act as potential inhibitors of the viral protease.

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