scholarly journals Molecular Docking and Virtual Screening based prediction of drugs for COVID-19

2020 ◽  
Vol 23 ◽  
Author(s):  
Sekhar Talluri
Keyword(s):  
Clinical Trials ◽  
Molecular Docking ◽  
Virtual Screening ◽  
Genomic Sequence ◽  
Three Dimensional ◽  
Dimensional Structure ◽  
X Ray Diffraction ◽  
Main Protease ◽  
Docking Calculations ◽  
Approved Drugs

Aims: To predict potential drugs for COVID-19 by using molecular docking for virtual screening of drugs approved for other clinical applications. <p> Background: SARS-CoV-2 is the betacoronavirus responsible for the COVID-19 pandemic. It was listed as a potential global health threat by WHO due to high mortality, high basic reproduction number and lack of clinically approved drugs and vaccines for COVID-19. The genomic sequence of the virus responsible for COVID-19, as well as the experimentally determined three dimensional structure of the Main protease are available. <p> </p> Objective: To identify potential drugs that can be repurposed for treatment of COVID-19 by using molecular docking based virtual screening of all approved drugs. <p> </p> Methods: List of drugs approved for clinical use was obtained from SuperDRUG2 database. The structure of the target in the apo form, as well as structures of several target-ligand complexes, were obtained from RCSB PDB. The structure of SARS-CoV-2 Mpro determined from X-ray diffraction data was used as the target. Data regarding drugs in clinical trials for COVID-19 was obtained from clinicaltrials.org. Input for molecular docking based virtual screening was prepared by using Obabel and customized python, bash and awk scripts. Molecular docking calculations were carried out with Vina and SMINA, and the docked conformations were analyzed and visualized with PLIP, Pymol and Rasmol. <p> </p> Results: Among the drugs that are being tested in clinical trials for COVID-19, Danoprevir and Darunavir have the highest binding affinity for the target main protease of SARS-CoV-2. Saquinavir and Beclabuvir were identified as the best novel candidates for COVID-19 therapy by using Virtual Screening of drugs approved for other clinical indications. <p> </p> Conclusion: Protease inhibitors approved for treatment of other viral diseases have the potential to be repurposed for treatment of COVID-19. </p>

scholarly journals Virtual Screening Based Prediction of Potential Drugs for COVID-19

2020 ◽  
Author(s):  
Sekhar Talluri
Keyword(s):  
Molecular Docking ◽  
Virtual Screening ◽  
Viral Infections ◽  
Genomic Sequence ◽  
Three Dimensional ◽  
Drug Repurposing ◽  
Dimensional Structure ◽  
Main Protease ◽  
Approved Drugs ◽  
Target Effects

SARS-CoV-2 is the betacoronavirus responsible for the COVID-19 pandemic. It was listed as a potential global health threat by WHO due to high mortality, high basic reproduction number and lack of clinically approved drugs and vaccines for COVID-19. The genomic sequence of the virus responsible for COVID-19, as well as the experimentally determined three dimensional structure of the Main protease (Mpro) are available. The reported structure of the target Mpro was utilized in this study to identify potential drugs for COVID-19 using molecular docking based virtual screening of all approved drugs. The results of this study confirm preliminary reports that some of the drugs approved for treatment of other viral infections have the potential for treatment of COVID-19. Selected antiviral drugs, approved for human therapeutic applications, were ranked for potential effectiveness against COVID-19, based on predicted binding energy to the target Mpro of SARS-CoV-2, and novel candidates for drug repurposing were identified in this study. In addition, potential mechanisms for beneficial off target effects of some drugs in clinical trials were identified by using molecular docking.

scholarly journals Virtual High Throughput Screening Based Prediction of Potential Drugs for COVID-19

2020 ◽  
Author(s):  
Sekhar Talluri
Keyword(s):  
High Throughput ◽  
High Throughput Screening ◽  
Viral Infections ◽  
Genomic Sequence ◽  
Reproduction Number ◽  
Three Dimensional ◽  
Drug Repurposing ◽  
Dimensional Structure ◽  
Main Protease ◽  
Approved Drugs

SARS-CoV-2 is a betacoronavirus that was first identified during the Wuhan COVID-19 epidemic in 2019. It was listed as a potential global health threat by WHO due to high mortality, high basic reproduction number and lack of clinically approved drugs and vaccines for COVID-19. The genomic sequence of the virus responsible for COVID-19, as well as the experimentally determined three dimensional structure of the Main protease (Mpro) are available. The reported structure of the target Mpro was utilized in this study to identify potential drugs for COVID-19 using virtual high throughput screening. The results of this study confirm earlier preliminary reports based on studies of homologs that some of the drugs approved for treatment of other viral infections also have the potential for treatment of COVID-19. Approved anti-viral drugs that target proteases were ranked for potential effectiveness against COVID-19 and novel candidates for drug repurposing were identified.

scholarly journals A Review on Molecular Docking

2021 ◽  
pp. 60-68
Author(s):  
Khemnar Manisha Dnyandev ◽  
Galave Vishal Babasaheb ◽  
Kulkarni Vaishali Chandrashekhar ◽  
Menkudale Amruta Chandrakant ◽  
Otari Kishor Vasant
Keyword(s):  
Molecular Docking ◽  
Virtual Screening ◽  
Molecular Biology ◽  
Drug Design ◽  
Three Dimensional ◽  
Important Application ◽  
Dimensional Structure ◽  
Three Dimensional Structure ◽  
Essential Components ◽  
Structural Databases

Molecular docking is computational modeling of structure complexes formed by two or more interacting molecule. The goal of molecular docking is prediction of three dimensional structure of interest. Molecular docking software mostly used in drug improvement. Molecules and effortless entrance to structural databases has befallen essential mechanism. Molecular Docking provide a collection of expensive tools for drug design and analysis. Simple prophecy of molecules and easy way in to structural databases has become essential components on the desktop of the medicinal chemist. The most important application of molecular docking is virtual screening. A variety of docking programs were residential to imagine the three dimensional structure of the molecule and docking gain can also be analyze with the assist of dissimilar computational methods. Molecular docking is a key tool in structural molecular biology and computer-assist drug design. Docking can be worn to execute virtual screening on large libraries of compounds, rank the results, and suggest structural hypotheses of how the ligands reduce the target, which is precious in lead optimization.

scholarly journals Molecular Docking and Fragment-Based QSAR Modeling for In Silico Screening of Approved Drugs and Candidate Compounds Against COVID-19

2020 ◽  
Vol 8 (2) ◽  
pp. 83-88
Author(s):  
Saeid Afshar ◽  
Asrin Bahmani ◽  
Massoud Saidijam
Keyword(s):  
Molecular Docking ◽  
Autodock Vina ◽  
Qsar Modeling ◽  
Health Crisis ◽  
Mortality And Morbidity ◽  
Main Protease ◽  
Docking Calculations ◽  
Approved Drugs ◽  
Top 40 ◽  
Potential Inhibitors

Background: Coronavirus disease 2019 (COVID-19) as a serious global health crisis leads to high mortality and morbidity. However, currently, there are no effective vaccines and treatments for COVID-19. Main protease (Mpro) and angiotensin-converting enzyme 2 (ACE2) are the best therapeutic targets of COVID-19. Objectives: The main purpose of this study is to investigate the most appropriate drug and candidate compound for proper interaction with Mpro and ACE2 to inhibit the activity of COVID-19. Methods: In this study, repurposing of approved drugs and screening of candidate compounds using molecular docking and fragment-based QSAR method were performed to discover the potential inhibitors of Mpro and ACE2. QSAR and docking calculations were performed based on the prediction of the inhibitory activities of 5-hydroxy indanone derivatives. Based on the results, an optimal structure was proposed to inhibit the activity of COVID-19. Results: Among 2629 DrugBank approved drugs, 118 were selected considering the LibDock score and absolute energy for possible drug-Mpro interactions. Furthermore, the top 40 drugs were selected based on screening the results for possible drug- Mpro interactions with AutoDock Vina. Conclusion: Finally, evaluation of the top 40 selected drugs for possible drug-ACE2 interactions with AutoDock Vina indicated that deslanoside (DB01078) can interact effectively with both Mpro and ACE2. However, prior to conducting clinical trials, further experimental validation is needed.

Some FDA Approved drugs exhibit binding affinity as high as -16.0 kcal/mol against COVID-19 Main Protease (Mpro): A Molecular Docking Study

2020 ◽  
Author(s):  
Shanmuga Subramanian
Keyword(s):  
Clinical Trials ◽  
Molecular Docking ◽  
Antiviral Agent ◽  
Binding Energies ◽  
In Vitro Tests ◽  
Molecular Docking Study ◽  
Main Protease ◽  
Approved Drugs ◽  
Fda Approved Drugs

Currently the new Coronavirus "COVID-19", also known as SARS-CoV-2, has infected nearly 3 million patients and nearly 200,000+ people have lost their lives due to this pandemic. There is an urgent need to find an antiviral agent that may slow down the spread of the virus. The aim of this study is to assess and evaluate some FDA Approved drugs as potential inhibitors for COVID-19 Main Protease (Mpro) (PDB code: 6LU7). This will be done by blind molecular docking using PyRx and Auto Vina software. The compounds Hydroxychloroquine and Remdesivir were used for comparative study. The binding energies obtained from the docking of 6LU7 with Midostaurin, Zafirlukast, Eluxadoline, Naldemedine, Netupitant, Pancuronium, Letermovir, Baloxavir marboxil, Tazemetostat, Telotristat ethyl, Zeaxanthin, Lutein, Deserpidine, Cefotetan, Procaine benzylpenicillin were -16, 15.6, -15.3, -15.2, -15.1, -14.8, -14.6, -14.5, -13.8, -13.2, -13.2, -12.4, -12.4 and -11.2 kcal/mol respectively . Therefore some of the drugs can be used in Clinical trials as they are purified compounds of known composition and among all of them are approved drugs,some of them are investigative drugs except Pancuronium. All these drugs should be evaluated for further use by conducting in vitro tests and if they are successful they should evaluated for further use in clinical trials against COVID-19 as they are readily available in the market.

Molecular Docking suggests repurposing of Brincidofovir as a potential drug targeting SARS-CoV-2 "COVID-19" ACE2 receptor and main protease

2020 ◽  
Author(s):  
Mostafa A. Hussien ◽  
Ahmed E.M. Abdelaziz
Keyword(s):  
Clinical Trials ◽  
Molecular Docking ◽  
Ether Lipid ◽  
Respiratory Disorder ◽  
Main Protease ◽  
Life Threatening ◽  
Current Outbreak ◽  
Lipid Ester ◽  
Approved Drugs ◽  
Fda Approved Drugs

Abstract The current outbreak of the highly transmittable and life-threatening treme intense respiratory disorder coronavirus 2 (SARS-CoV-2) has advanced rapidly and posed a global health emergency. Many clinical trials are now being conducted to test possible therapies. To assist, the molecular docking was applied on some selected FDA-approved drugs, previously used in epidemics, and the top ten compounds were selected. These ten well-characterized drugs, previously used to treat Malaria and Ebola infections, were screened based on their interactions with the SARS-CoV-2 ACE2 Receptor and 3C-like Protease. Compared to the other nine medicines, Brincidofovir, an ether lipid ester analog of cidofovir with potent antiviral activity, showed the highest docking scores and binding interactions. Therefore, Brincidofovir worth further investigations and clinical trials as a possible therapeutic agent for the COVID-19 disease .

Electron Microscopy of Cytoplasmic Contractile Proteins

1978 ◽  
Vol 36 (3) ◽  
pp. 606-614 ◽  
Author(s):  
T.D. Pollard ◽  
P. Maupin
Keyword(s):  
Electron Microscopy ◽  
Actin Filaments ◽  
Three Dimensional ◽  
Uranyl Acetate ◽  
Contractile Proteins ◽  
Dimensional Structure ◽  
X Ray Diffraction ◽  
Cytoplasmic Matrix ◽  
Computer Image Processing ◽  
Nonmuscle Cells

In this paper we review some of the contributions that electron microscopy has made to the analysis of actin and myosin from nonmuscle cells. We place particular emphasis upon the limitations of the ultrastructural techniques used to study these cytoplasmic contractile proteins, because it is not widely recognized how difficult it is to preserve these elements of the cytoplasmic matrix for electron microscopy. The structure of actin filaments is well preserved for electron microscope observation by negative staining with uranyl acetate (Figure 1). In fact, to a resolution of about 3nm the three-dimensional structure of actin filaments determined by computer image processing of electron micrographs of negatively stained specimens (Moore et al., 1970) is indistinguishable from the structure revealed by X-ray diffraction of living muscle.

Virtual Screening, Molecular docking and in-silico ADME-Tox analysis for identification of potential main protease (Mpro) enzyme inhibitors

2020 ◽  
Vol 18 ◽  
Author(s):  
Debadash Panigrahi ◽  
Ganesh Prasad Mishra
Keyword(s):  
Molecular Docking ◽  
Virtual Screening ◽  
In Silico ◽  
Data Bank ◽  
Future Research ◽  
Reference Compound ◽  
Unexpected Death ◽  
Main Protease ◽  
In Silico Admet

Objective:: Recent pandemic caused by SARS-CoV-2 described in Wuhan China in December-2019 spread widely almost all the countries of the world. Corona virus (COVID-19) is causing the unexpected death of many peoples and severe economic loss in several countries. Virtual screening based on molecular docking, drug-likeness prediction, and in silico ADMET study has become an effective tool for the identification of small molecules as novel antiviral drugs to treat diseases. Methods:: In the current study, virtual screening was performed through molecular docking for identifying potent inhibitors against Mpro enzyme from the ZINC library for the possible treatment of COVID-19 pandemic. Interestingly, some compounds are identified as possible anti-covid-19 agents for future research. 350 compounds were screened based on their similarity score with reference compound X77 from ZINC data bank and were subjected to docking with crystal structure available of Mpro enzyme. These compounds were then filtered by their in silico ADME-Tox and drug-likeness prediction values. Result:: Out of these 350 screened compounds, 10 compounds were selected based on their docking score and best docked pose in comparison to the reference compound X77. In silico ADME-Tox and drug likeliness predictions of the top compounds were performed and found to be excellent results. All the 10 screened compounds showed significant binding pose with the target enzyme main protease (Mpro) enzyme and satisfactory pharmacokinetic and toxicological properties. Conclusion:: Based on results we can suggest that the identified compounds may be considered for therapeutic development against the COVID-19 virus and can be further evaluated for in vitro activity, preclinical, clinical studies and formulated in a suitable dosage form to maximize their bioavailability.

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 Rutin-Functionalized Multi-Walled Carbon Nanotubes: Molecular Docking, Physicochemistry and Cytotoxicity in Fibroblasts

Toxics ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 173
Author(s):  
Conrado M. S. Neto ◽  
Felipe C. Lima ◽  
Renata P. Morais ◽  
Lucas R. M. de Andrade ◽  
Renata de Lima ◽  
...  
Keyword(s):  
Carbon Nanotubes ◽  
Molecular Docking ◽  
Thermal Analyses ◽  
Three Dimensional ◽  
Morphological Structure ◽  
Dose Effect ◽  
Dimensional Structure ◽  
3T3 Fibroblasts ◽  
Multi Walled Carbon Nanotubes ◽  
Walled Carbon Nanotubes

Multi-Walled Carbon Nanotubes (MWCNT) have been functionalized with rutin through three steps (i. reaction step; ii. purification step; iii. drying step) and their physicochemical properties investigated with respect to morphological structure, thermal analysis, Fourier Transform Infrared Spectroscopy (FTIR), and cytotoxicity. The molecular docking suggested the rutin-functionalized MWCNT occurred by hydrogen bonds, which was confirmed by FTIR assays, corroborating the results obtained by thermal analyses. A tubular shape, arranged in a three-dimensional structure, could be observed. Mild cytotoxicity observed in 3T3 fibroblasts suggested a dose–effect relationship after exposure. These findings suggest the formation of aggregates of filamentous structures on the cells favoring the cell penetration.

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