scholarly journals In silico molecular docking and molecular dynamics examination of Andrographis paniculata compounds of Andrographolide, Neoandrographolide, and 5-hydroxy-7,8,2’,3’-tetramethoxyflavone inhibition activity to SARS-CoV-2 main protease

2021 ◽  
Vol 41 ◽  
pp. 07002
Author(s):  
Raihan Kenji Rizqillah ◽  
Jaka Fajar Fatriansyah ◽  
Fadilah ◽  
Sulhadi ◽  
Siti Wahyuni ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Molecular Docking ◽  
In Silico ◽  
Andrographis Paniculata ◽  
Dynamics Simulation ◽  
Ligand Docking ◽  
Inhibition Activity ◽  
Docking Score ◽  
Main Protease ◽  
In Silico Molecular Docking

In this work, Andrographis paniculata compounds of Andrographolide, Neoandrographolide, and 5-hydroxy-7,8,2’,3’-tetramethoxyflavone inhibition activity to SARS CoV-2 main protease were examined through in silico molecular docking and molecular dynamics simulation, with Remdesivir as control ligand. Docking score and MMGBSA were examined as well as molecular dynamics parameters: RMSD, RMSF and Protein ligand contact fraction. Our study found that Andrographis paniculata compounds of Andrographolide, Neoandrographolide, and 5-hydroxy-7,8,2’,3’-tetramethoxyflavone have comparable inhibition activity to SARS CoV-2 main protease in comparison to Remdesivir. 5-hydroxy7,8,2’,3’-tetramethoxyflavone has the lowest docking score, which was further validated by protein ligand contact fraction examination, although MMGBSA score is lowest for Remdesivir.

scholarly journals Identification of Anti-SARS-CoV-2 Compounds from Food Using QSAR-Based Virtual Screening, Molecular Docking, and Molecular Dynamics Simulation Analysis

2021 ◽  
Vol 14 (4) ◽  
pp. 357
Author(s):  
Magdi E. A. Zaki ◽  
Sami A. Al-Hussain ◽  
Vijay H. Masand ◽  
Siddhartha Akasapu ◽  
Sumit O. Bajaj ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Molecular Docking ◽  
Virtual Screening ◽  
Simulation Analysis ◽  
Qsar Model ◽  
Quantitative Structure Activity Relationship ◽  
Dynamics Simulation ◽  
Multilinear Regression ◽  
Qsar Analysis ◽  
Main Protease

Due to the genetic similarity between SARS-CoV-2 and SARS-CoV, the present work endeavored to derive a balanced Quantitative Structure−Activity Relationship (QSAR) model, molecular docking, and molecular dynamics (MD) simulation studies to identify novel molecules having inhibitory potential against the main protease (Mpro) of SARS-CoV-2. The QSAR analysis developed on multivariate GA–MLR (Genetic Algorithm–Multilinear Regression) model with acceptable statistical performance (R2 = 0.898, Q2loo = 0.859, etc.). QSAR analysis attributed the good correlation with different types of atoms like non-ring Carbons and Nitrogens, amide Nitrogen, sp2-hybridized Carbons, etc. Thus, the QSAR model has a good balance of qualitative and quantitative requirements (balanced QSAR model) and satisfies the Organisation for Economic Co-operation and Development (OECD) guidelines. After that, a QSAR-based virtual screening of 26,467 food compounds and 360 heterocyclic variants of molecule 1 (benzotriazole–indole hybrid molecule) helped to identify promising hits. Furthermore, the molecular docking and molecular dynamics (MD) simulations of Mpro with molecule 1 recognized the structural motifs with significant stability. Molecular docking and QSAR provided consensus and complementary results. The validated analyses are capable of optimizing a drug/lead candidate for better inhibitory activity against the main protease of SARS-CoV-2.

scholarly journals Phytochemicals from Leucas zeylanica Targeting Main Protease of SARS-CoV-2: Chemical Profiles, Molecular Docking, and Molecular Dynamics Simulations

Biology ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 789
Author(s):  
Mycal Dutta ◽  
Abu Montakim Tareq ◽  
Ahmed Rakib ◽  
Shafi Mahmud ◽  
Saad Ahmed Sami ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Molecular Docking ◽  
Molecular Dynamics Simulation ◽  
Surface Area ◽  
Dynamics Simulation ◽  
Solvent Accessible Surface Area ◽  
Gas Chromatography Mass Spectrometry ◽  
Radius Of Gyration ◽  
Hydrogen Bond Formation ◽  
Main Protease

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a contemporary coronavirus, has impacted global economic activity and has a high transmission rate. As a result of the virus’s severe medical effects, developing effective vaccinations is vital. Plant-derived metabolites have been discovered as potential SARS-CoV-2 inhibitors. The SARS-CoV-2 main protease (Mpro) is a target for therapeutic research because of its highly conserved protein sequence. Gas chromatography–mass spectrometry (GC-MS) and molecular docking were used to screen 34 compounds identified from Leucas zeylanica for potential inhibitory activity against the SARS-CoV-2 Mpro. In addition, prime molecular mechanics–generalized Born surface area (MM-GBSA) was used to screen the compound dataset using a molecular dynamics simulation. From molecular docking analysis, 26 compounds were capable of interaction with the SARS-CoV-2 Mpro, while three compounds, namely 11-oxa-dispiro[4.0.4.1]undecan-1-ol (−5.755 kcal/mol), azetidin-2-one 3,3-dimethyl-4-(1-aminoethyl) (−5.39 kcal/mol), and lorazepam, 2TMS derivative (−5.246 kcal/mol), exhibited the highest docking scores. These three ligands were assessed by MM-GBSA, which revealed that they bind with the necessary Mpro amino acids in the catalytic groove to cause protein inhibition, including Ser144, Cys145, and His41. The molecular dynamics simulation confirmed the complex rigidity and stability of the docked ligand–Mpro complexes based on the analysis of mean radical variations, root-mean-square fluctuations, solvent-accessible surface area, radius of gyration, and hydrogen bond formation. The study of the postmolecular dynamics confirmation also confirmed that lorazepam, 11-oxa-dispiro[4.0.4.1]undecan-1-ol, and azetidin-2-one-3, 3-dimethyl-4-(1-aminoethyl) interact with similar Mpro binding pockets. The results of our computerized drug design approach may assist in the fight against SARS-CoV-2.

scholarly journals Identification of Natural Inhibitors Against SARS-CoV-2 Drugable Targets Using Molecular Docking, Molecular Dynamics Simulation, and MM-PBSA Approach

2021 ◽  
Vol 11 ◽  
Author(s):  
Prem Prakash Kushwaha ◽  
Atul Kumar Singh ◽  
Tanya Bansal ◽  
Akansha Yadav ◽  
Kumari Sunita Prajapati ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Free Energy ◽  
Molecular Docking ◽  
Active Site ◽  
Md Simulation ◽  
Dynamics Simulation ◽  
Stable Complex ◽  
Kcal Mole ◽  
Hydrogen Bond Formation ◽  
Docking Score

The present study explores the SARS-CoV-2 drugable target inhibition efficacy of phytochemicals from Indian medicinal plants using molecular docking, molecular dynamics (MD) simulation, and MM-PBSA analysis. A total of 130 phytochemicals were screened against SARS-CoV-2 Spike (S)-protein, RNA-dependent RNA polymerase (RdRp), and Main protease (Mpro). Result of molecular docking showed that Isoquercetin potentially binds with the active site/protein binding site of the Spike, RdRP, and Mpro targets with a docking score of -8.22, -6.86, and -9.73 kcal/mole, respectively. Further, MS 3, 7-Hydroxyaloin B, 10-Hydroxyaloin A, showed -9.57, -7.07, -8.57 kcal/mole docking score against Spike, RdRP, and Mpro targets respectively. The MD simulation was performed to study the favorable confirmation and energetically stable complex formation ability of Isoquercetin and 10-Hydroxyaloin A phytochemicals in Mpro-unbound/ligand bound/standard inhibitor bound system. The parameters such as RMSD, RMSF, Rg, SASA, Hydrogen-bond formation, energy landscape, principal component analysis showed that the lead phytochemicals form stable and energetically stabilized complex with the target protein. Further, MM-PBSA analysis was performed to compare the Gibbs free energy of the Mpro-ligand bound and standard inhibitor bound complexes. The analysis revealed that the His-41, Cys145, Met49, and Leu27 amino acid residues were majorly responsible for the lower free energy of the complex. Drug likeness and physiochemical properties of the test compounds showed satisfactory results. Taken together, the study concludes that that the Isoquercetin and 10-Hydroxyaloin A phytochemical possess significant efficacy to bind SARS-Cov-2 Mpro active site. The study necessitates further in vitro and in vivo experimental validation of these lead phytochemicals to assess their anti-SARS-CoV-2 potential.

scholarly journals Discovery of New Hydroxyethylamine Analogs Against 3CLpro Protein Target of SARS-CoV-2: Molecular Docking, Molecular Dynamics Simulation and Structure-Activity Relationship Studies

2020 ◽  
Author(s):  
Sumit Kumar ◽  
Prem Prakash Sharma ◽  
Uma Shankar ◽  
Dhruv Kumar ◽  
Sanjeev K Joshi ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Molecular Docking ◽  
Cysteine Protease ◽  
Binding Pocket ◽  
Structure Activity Relationship ◽  
Dynamics Simulation ◽  
Activity Relationship ◽  
Docking Score ◽  
Structure Activity ◽  
Novel Coronavirus

<p><br></p> <p>A novel coronavirus, SARS-CoV-2 has caused a recent pandemic called COVID-19 and a severe health threat around the world. In the current situation, the virus is rapidly spreading worldwide, and the discovery of vaccine and potential therapeutics are critically essential. The crystal structure for main protease (M<sup>pro</sup>) of SARS-CoV-2, 3-chymotrypsin-like cysteine protease (3CL<sup>pro</sup>) was recently made available and is considerably similar to previously reported SARS-CoV. Due to its essentiality in viral replication, it represents a potential drug target. Herein, computer-aided drug design (CADD) approach was implemented for the initial screening of 13 approved antiviral drugs. Molecular docking of 13 antivirals against 3-chymotrypsin-like cysteine protease (3CL<sup>pro</sup>) enzyme was accomplished and indinavir was described as a lead drug with a docking score of -8.824 and a XP Gscore of -9.466 kcal/mol. Indinavir possesses an important pharmacophore, hydroxyethylamine (HEA), and thus a new library of HEA compounds (>2500) was subjected to virtual screening that led to 25 hits with a docking score more than indinavir. Exclusively, compound <b>16</b> with docking score of -8.955 adhered to drug like parameters, and the Structure-Activity Relationship (SAR) analysis was demonstrated to highlight the importance of chemical scaffolds therein. Molecular Dynamics (MD) simulation studies carried out at 100ns supported the stability of <b>16</b> within the binding pocket. Largly, our results supported that this novel compound <b>16</b> binds to the domain I & II, and domain II-III linker of 3CL<sup>pro</sup> protein, suggesting its suitablity as strong candidate for therapeutic discovery against COVID-19. Lead compound <b>16</b> could pave incredible directions for the design of novel 3CL<sup>pro</sup> inhibitors and ultimately therapeutics against COVID-19 disease.</p> <p><br></p> <p> </p>

scholarly journals Molecular Docking and Molecular Dynamics Studies of SARS-CoV-2 Inhibitors: Crocin, Digitoxigenin, Beta-Eudesmol and Favipiravir: Comparative Study

2021 ◽  
Vol 12 (4) ◽  
pp. 5591-5600
Keyword(s):  
Molecular Dynamics ◽  
Molecular Docking ◽  
Molecular Dynamics Simulation ◽  
Comparative Study ◽  
Active Site ◽  
Antiviral Treatment ◽  
Docking Study ◽  
The Other ◽  
Dynamics Simulation ◽  
Main Protease

In this study, Crocin, Digitoxigenin, Beta-Eudesmol, and Favipiravir were docked in the active site of SARS-CoV-2 main protease (PDB code: 6LU7). The docking study was followed by Molecular Dynamics simulation. The result indicates that Crocin and Digitoxigenin are the structures with the best affinity in the studied enzyme's binding site. Still, Molecular Dynamics simulation showed that Digitoxigenin is the molecule that fits better in the active site of the main protease. Therefore, this molecule could have a more potent antiviral treatment of COVID-19 than the other three studied compounds.

scholarly journals Molecular Docking and Molecular Dynamics Studies of Role of Anti-Allergic Medicines as Inhibitors Against Covid-19

2022 ◽  
Author(s):  
Mrinal Kanti Si
Keyword(s):  
Molecular Dynamics ◽  
Molecular Docking ◽  
Halogen Bond ◽  
Treatment Options ◽  
Docking Studies ◽  
Dynamics Simulation ◽  
Runny Nose ◽  
Drug Molecules ◽  
Main Protease

Abstract The 2019-nCoV virus is a human-infectious coronavirus (CoV). Very few treatment options are available to healthcare professionals who are fighting this outbreak at the front. The main warning symptoms of COVID-19, the disease caused by the new coronavirus, are fever, fatigue, and a dry cough, sometimes it also causes cold-like symptoms like a runny nose which are sometimes similar to symptoms of allergies and sometimes difficult to differentiate between COVID-19 and allergies. The anti-allergic drug molecules can behave as good inhibitor against COVID-19. Molecular docking studies have been performed to examine the inhibitor properties of anti-allergic molecules against Covid-19. The searching of better inhibitors have been examined interns of various non-covalent interactions like hydrogen bond, halogen bond, vander waal’s interactions, alkyl-πand π-π interactions between small molecules (Anti-allergic medicines) with main protease of Covid-19 using molecular docking and Molecular Dynamics simulation which reveals that astemizole is best inhibitor among ten Anti-allergic drug molecules.

scholarly journals Exploring the Capability of Indonesia Natural Medicine Secondary Metabolite as Potential Inhibitors of SARS-CoV-2 Proteins to Prevent Virulence of COVID-19: In silico and Bioinformatic Approach

2021 ◽  
Vol 9 (A) ◽  
pp. 336-342
Author(s):  
Bambang Cahyono ◽  
Nur Dina Amalina ◽  
Meiny Suzery ◽  
Damar Nur Wahyu Bima
Keyword(s):  
Molecular Docking ◽  
Secondary Metabolite ◽  
In Silico ◽  
Citrus Sinensis ◽  
Receptor Interaction ◽  
Docking Score ◽  
Alpinia Galanga ◽  
Protein Target ◽  
Natural Medicine ◽  
In Silico Molecular Docking

BACKGROUND: SARS-CoV-2 was causing COVID-19 disease resulting in many deaths and being a significant concern in the world today. There is an emergent need to search for possible medications for COVID-19 treatment. The key point to halt SARS-CoV-2 infection through inhibition of the virus-receptor interaction and stimulates the immune system. Utilization of the bioinformatic and in silico molecular docking a number of available medications might be proven to be effective in inhibiting SARS-CoV-2 main drug targets including the SARS-CoV2 spike glycoprotein, the 3CL protease SARS-CoV-2 active target, PD-ACE2, 2019-nCoV PLpro, and NF-kβ. AIM: This present study was conducted to identify the potential target and molecular mechanism of the major compound on Alpinia galanga extract and Citrus sinensis (L.) extract in circumventing COVID-19 using a bioinformatics approach and in silico molecular docking. RESULTS: Direct protein target of all secondary metabolite and the gene list from PubMed “Severe acute respiratory syndrome coronavirus 2” generated 2 genes (CCL2 and VEGFA) as potential therapeutics target genes (PTTG). The molecular docking was conducted by the Protein-Ligand Ant System (PLANTS) software. The results show that hesperidin, naringenin, and galangin have lower docking score for all five-protein target receptor compared with chloroquine and remdesivir. The lower docking score suggests a high affinity to bind the protein. Moreover, these compounds have a strong affinity in their inhibitory capacity for viral infection. CONCLUSION: In general, this study’s findings show that the compound of Alpinia galanga extract dan Citrus sinensis (L.) extract exhibit the best potential as an inhibitor to the development of the SARS-CoV-2 and inhibited cytokine storm through inactivation NF-kβ _pathway.

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