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 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 Molecular Docking and Molecular Dynamics Simulation Studies of Triterpenes from Vernonia patula with the Cannabinoid Type 1 Receptor

2021 ◽  
Vol 22 (7) ◽  
pp. 3595
Author(s):  
Md Afjalus Afjalus Siraj ◽  
Md. Sajjadur Rahman ◽  
Ghee T. Tan ◽  
Veronique Seidel
Keyword(s):  
Molecular Dynamics ◽  
Molecular Docking ◽  
Molecular Dynamics Simulation ◽  
Binding Affinity ◽  
Docking Studies ◽  
Dynamics Simulation ◽  
Simulation Studies ◽  
Cannabinoid Type 1 Receptor ◽  
Docking Approach

A molecular docking approach was employed to evaluate the binding affinity of six triterpenes, namely epifriedelanol, friedelin, α-amyrin, α-amyrin acetate, β-amyrin acetate, and bauerenyl acetate, towards the cannabinoid type 1 receptor (CB1). Molecular docking studies showed that friedelin, α-amyrin, and epifriedelanol had the strongest binding affinity towards CB1. Molecular dynamics simulation studies revealed that friedelin and α-amyrin engaged in stable non-bonding interactions by binding to a pocket close to the active site on the surface of the CB1 target protein. The studied triterpenes showed a good capacity to penetrate the blood–brain barrier. These results help to provide some evidence to justify, at least in part, the previously reported antinociceptive and sedative properties of Vernonia patula.

scholarly journals MOLECULAR DOCKING STUDIES ON SCREENING AND ASSESSMENT OF SELECTED BIOFLAVONOIDS AS POTENTIAL INHIBITORS OF COVID-19 MAIN PROTEASE

2020 ◽  
pp. 174-178
Author(s):  
SHAILENDRA SANJAY SURYAWANSHI ◽  
POOJA BHAVAKANA JAYANNACHE ◽  
RAJKUMAR SANJAY PATIL ◽  
PALLED MS ◽  
ALEGAON SG
Keyword(s):  
Molecular Docking ◽  
Treatment Options ◽  
Docking Studies ◽  
Binding Energies ◽  
Molecular Docking Studies ◽  
Discovery Studio ◽  
Main Protease ◽  
Potential Inhibitors ◽  
Binding Energy Calculations ◽  
Native Ligand

Objectives: The objective of the study was to screen and assess the selected bioactive bioflavonoids in medicinal plants as potential coronaviruses (CoV) main protease (Mpro) inhibitors using molecular docking studies. Methods: We have investigated several bioflavonoids which include apigenin, galangin, glycitein, luteolin, morin, naringin, resveratrol, and rutin. Nelfinavir and lopinavir were used as standard antiviral drugs for comparison. Mpro was docked with selected compounds using PyRx 0.8 and docking was analyzed by PyRx 0.8 and Biovia Discovery Studio 2019. Results: The binding energies obtained from the docking of 6LU7 with native ligand, nelfinavir, lopinavir, apigenin, galangin, glycitein, luteolin, morin, naringin, resveratrol, and rutin were found to be −7.4, −8.3, −8.0, −7.8, −7.3, −7, −7.4, −7.6, −7.8, −6.9, and −9 kcal/mol, respectively. Conclusion: From the binding energy calculations, we can conclude that nelfinavir and lopinavir may represent potential treatment options and apigenin, galangin, glycitein, luteolin, morin, naringin, resveratrol, and rutin found to possess the best inhibitors of CoV disease-19 main protease.

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 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 A Comparative Study of Approved Drugs for SARS-CoV-2 by Molecular Docking

2021 ◽  
Vol 1 (1) ◽  
pp. 25-31
Author(s):  
Achal Mishra ◽  
Radhika Waghela
Keyword(s):  
Molecular Docking ◽  
Docking Study ◽  
Docking Studies ◽  
Target Protein ◽  
Molecular Docking Study ◽  
Discovery Studio ◽  
Drug Molecules ◽  
Main Protease ◽  
New Type ◽  
Approved Drugs

SARS-CoV-2, a new type of Coronavirus, has affected more millions of people worldwide. From the spread of this infection, many studies related to this virus and drug designing for the treatment have been started. Most of the studies target the SARS-CoV-2 main protease, spike protein of SASR-CoV-2, and some are targeting the human furin protease. In the current work, we chose the clinically used drug molecules remdesivir, favipiravir, lopinavir, hydroxychloroquine, and chloroquine onto the target protein SARS-CoV-2 main protease. Docking studies were performed using Arguslab, while Discovery Studio collected 2D and 3D pose views with the crystal structure of COVID-19 main protease in complex with an inhibitor N3 with PDB ID 6LU7. Computational studies reveal that all ligands provided good binding affinities towards the target protein. Among all the chosen drugs, lopinavir showed the highest docking score of -11.75 kcal/mol. The results from this molecular docking study encourage the use of lopinavir as the first-line treatment drug due to its highest binding affinity.

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