Virtual Screening of Phyto Chemicals Against SARS-CoV-2 Targets

2021 ◽  
Vol 6 (3) ◽  
pp. 61-76
Author(s):  
Shahanas Naisam ◽  
Vidhya V. S. ◽  
Suvanish Kumar ◽  
Nidhin Sreekumar
Keyword(s):  
Dynamics Simulation ◽  
Spike Protein ◽  
Ligand Interaction ◽  
Docking Analysis ◽  
Drug Molecules ◽  
In Vivo Analysis ◽  
Protein Ligand Interaction ◽  
The Stability ◽  
3Cl Protease

The COVID-19 pandemic wave has recommenced and is spreading like wildfire across the globe. The well-reported antiviral potency of phyto compounds could offer potential drug molecules for the current predicament. The present study analyses the molecular interaction of selected phyto compounds and SARS-CoV-2 molecular target proteins, namely spike protein, RNA-dependent RNA polymerase, 3C-like proteases, and papain-like protease. Ten newly modeled ligands were also considered for the study. Molecular docking analysis was carried out independently using MOE, AutoDock Vina, Schrodinger-Glide, and the stability of protein-ligand interaction was validated through molecular dynamics simulation. Petunidin interacts with spike protein resulting in a good Gscore, binding energy, and H-bond interaction. Also, alions, letestuianin-A, (+)-pinitol show better interaction with RdRp, 3CL-protease, and papain-like protease, respectively. The presented work screens through 2314 ligands to yield top-ranked molecules which could be taken up to develop potential lead molecules via in-vivo analysis.

In Silico Identification of a Potent Arsenic Based Approved Drug Darinaparsin against SARS-CoV-2: Inhibitor of RNA Dependent RNA polymerase (RdRp) and Essential Proteases

2020 ◽  
Vol 20 ◽  
Author(s):  
Trinath Chowdhury ◽  
Gourisankar Roymahapatra ◽  
Santi M. Mandal
Keyword(s):  
Rna Polymerase ◽  
Viral Entry ◽  
In Silico ◽  
Rna Dependent Rna Polymerase ◽  
Replication Complex ◽  
In Silico Study ◽  
Life Threatening ◽  
In Vivo Analysis ◽  
3Cl Protease

Background: COVID-19 is a life threatening novel corona viral infection to our civilization and spreading rapidly. Terrific efforts are generous by the researchers to search for a drug to control SARS-CoV-2. Methods: Here, a series of arsenical derivatives were optimized and analyzed with in silico study to search the inhibitor of RNA dependent RNA polymerase (RdRp), the major replication factor of SARS-CoV-2. All the optimized derivatives were blindly docked with RdRp of SARS-CoV-2 using iGEMDOCK v2.1. Results: Based on the lower idock score in the catalytic pocket of RdRp, darinaparsin (-82.52 kcal/mol) revealed most effective among them. Darinaparsin strongly binds with both Nsp9 replicase protein (-8.77 kcal/mol) and Nsp15 endoribonuclease (-8.3 kcal/mol) of SARS-CoV-2 as confirmed from the AutoDock analysis. During infection, the ssRNA of SARS-CoV2 is translated into large polyproteins forming viral replication complex by specific proteases like 3CL protease and papain protease. This is also another target to control the virus infection where darinaparsin also perform the inhibitory role to proteases of 3CL protease (-7.69 kcal/mol) and papain protease (-8.43 kcal/mol). Conclusion: In host cell, the furin protease serves as a gateway to the viral entry and darinaparsin docked with furin protease which revealed a strong binding affinity. Thus, screening of potential arsenic drugs would help in providing the fast invitro to in-vivo analysis towards development of therapeutics against SARS-CoV-2.

In-Silico Analysis to Identify Potential Inhibitors Against the Protein NSP12 of SARS-CoV-2

2021 ◽  
Vol 6 (3) ◽  
pp. 48-60
Author(s):  
Hima Vyshnavi ◽  
Gayathri S. S. ◽  
Shahanas Naisam ◽  
Suvanish Kumar ◽  
Nidhin Sreekumar
Keyword(s):  
In Silico ◽  
Interaction Analysis ◽  
In Silico Analysis ◽  
Drug Efficacy ◽  
Drug Candidate ◽  
In Vivo Analysis ◽  
The Stability ◽  
Potential Inhibitors ◽  
Silico Analysis

In this pandemic condition, a drug candidate which is effective against COVID-19 is very much desired. This study initiates an in silico analysis to screen small molecules such as phytochemicals, drug metabolites, and natural metabolites against Nsp12 (a catalytic unit for RNA transcription and replication). Molecular interaction analysis of 6M71 was carried out against 2,860 ligands using Schrodinger Glide software. After docking analysis, the top 10 molecules (Glide score) were subjected to MD simulation for validating the stability. It resulted in top 10 compounds with high binding affinities with the target molecule NSP 12. Out of these, top 3 compounds including PSID_08_LIG3 (HMDB0133544), PSID_08_LIG4 (HMDB0132898), and PSID_08_LIG9 (HMDB0128199) show better Glide scores, better H-bond interaction, better MMGBSA value and stability on dynamic simulation after analysis of the results. The suggested ligands can be postulated as effective antiviral drugs against COVID-19. Further in vivo analysis is needed for validating the drug efficacy.

Graphdiyne oxide enhances the stability of solid contact-based ionselective electrodes for excellent in vivo analysis

2019 ◽  
Vol 62 (10) ◽  
pp. 1414-1420 ◽  
Author(s):  
Lijun Zhao ◽  
Ying Jiang ◽  
Jie Hao ◽  
Huan Wei ◽  
Wei Zheng ◽  
...  
Keyword(s):  
Solid Contact ◽  
In Vivo Analysis ◽  
The Stability

Homology Modeling and Evaluation of Sars-Cov-2 Spike Protein Mutant

2021 ◽  
Vol 6 (4) ◽  
pp. 38-55
Author(s):  
Hima Vyshnavi ◽  
Aswin Mohan ◽  
Shahanas Naisam ◽  
Suvanish Kumar ◽  
Nidhin Sreekumar
Keyword(s):  
Molecular Dynamics ◽  
Molecular Dynamics Simulation ◽  
Antiviral Drug ◽  
Dynamics Simulation ◽  
Spike Protein ◽  
Structure Modeling ◽  
Ramachandran Plot ◽  
Global Pandemic ◽  
The Stability

Severe acute respiratory syndrome coronavirus 2 (SARS‐Cov-2), a global pandemic, affected the world, increasing every day. A mutated variant D614G, showing more virulence and transmission, was studied for forecasting the emergence of more virulent and pathogenic viral strains. This study focuses on structure modeling and validation. Characterization of proteins homologous to wild spike protein was done, and homology models of the mutated variant were modeled using these proteins. Validation of models was done using Ramachandran plot and ERRAT plot. Molecular dynamics simulation was used to validate the stability of the models, and binding affinity of these models were estimated by molecular docking with an approved antiviral drug. Docked complexes were studied and the best model was selected. Molecular dynamics simulation was used to estimate the stability of the docked complex. The model of 6VXX, a homologous of wild spike protein, was found to be stable with the interaction of the antiviral drug from this study.

scholarly journals Structure elucidation and docking analysis of 5M mutant of T1 lipase Geobacillus zalihae

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0251751
Author(s):  
Siti Nor Hasmah Ishak ◽  
Nor Hafizah Ahmad Kamarudin ◽  
Mohd Shukuri Mohamad Ali ◽  
Adam Thean Chor Leow ◽  
Fairolniza Mohd Shariff ◽  
...  
Keyword(s):  
Amino Acids ◽  
Hydrogen Bonds ◽  
Three Dimensional ◽  
Substrate Preference ◽  
Dynamics Simulation ◽  
Dimensional Structure ◽  
Docking Analysis ◽  
Three Dimensional Structure ◽  
Ion Interactions ◽  
The Stability

5M mutant lipase was derived through cumulative mutagenesis of amino acid residues (D43E/T118N/E226D/E250L/N304E) of T1 lipase from Geobacillus zalihae. A previous study revealed that cumulative mutations in 5M mutant lipase resulted in decreased thermostability compared to wild-type T1 lipase. Multiple amino acids substitution might cause structural destabilization due to negative cooperation. Hence, the three-dimensional structure of 5M mutant lipase was elucidated to determine the evolution in structural elements caused by amino acids substitution. A suitable crystal for X-ray diffraction was obtained from an optimized formulation containing 0.5 M sodium cacodylate trihydrate, 0.4 M sodium citrate tribasic pH 6.4 and 0.2 M sodium chloride with 2.5 mg/mL protein concentration. The three-dimensional structure of 5M mutant lipase was solved at 2.64 Å with two molecules per asymmetric unit. The detailed analysis of the structure revealed that there was a decrease in the number of molecular interactions, including hydrogen bonds and ion interactions, which are important in maintaining the stability of lipase. This study facilitates understanding of and highlights the importance of hydrogen bonds and ion interactions towards protein stability. Substrate specificity and docking analysis on the open structure of 5M mutant lipase revealed changes in substrate preference. The molecular dynamics simulation of 5M-substrates complexes validated the substrate preference of 5M lipase towards long-chain p-nitrophenyl–esters.

scholarly journals MOLECULAR DOCKING ANALYSIS OF NATRIURETIC PEPTIDE RECEPTOR-C TOWARDS THE DESIGN OF POTENTIAL ATRIAL FIBRILLATION INHIBITORS

2020 ◽  
Vol 9 (5) ◽  
pp. 2595-2600
Author(s):  
Shubhda Dev
Keyword(s):  
Atrial Fibrillation ◽  
Molecular Docking ◽  
Natriuretic Peptide ◽  
Antiarrhythmic Agents ◽  
Natriuretic Peptide Receptor ◽  
Ligand Interaction ◽  
Docking Analysis ◽  
Peptide Receptor ◽  
Protein Ligand Interaction ◽  
Molecular Docking Analysis

Atrial fibrillation (AF) stands the most widely recognized kind of clinical arrhythmia. Right now accessible anti-Atrial Fibrillation drugs are restricted by just moderate adequacy and an unfavorable safety profile. There is a perceived requirement for enhanced antiarrhythmic agents including activities that are specific for the fibrillating atrium. Therefore, it is of interest to design an appropriate medication for the disease Atrial Fibrillation using Molecular Docking techniques through protein-ligand interaction analysis. Hence, we document the Molecular docking analysis of natriuretic peptide receptor-C towards the design of potential Atrial Fibrillation inhibitors (Aprindine, Inclacumab, and Budiodarone) with the most favorable binding features for further consideration. This study centers around the process for drug discovery finding appropriate medication for the disease Atrial Fibrillation by Molecular Docking technique through protein-ligand interaction. The examination uncovered that out of a couple of molecules that were chosen as target, three of them were seen as most reasonable having the least energies compared to the other molecules. Aprindine, which is utilized in arrhythmia patients as a cardiac depressant. Inclacumab, which is an investigational sedate utilized in trials to look at the treatment and evasion of Myocardial Infarction, Peripheral Arterial Disease (PAD), and Coronary Heart Disease. Budiodarone, which is an antiarrhythmic drug at present in clinical preliminaries identified with amiodarone.

scholarly journals In-Silico Evaluation of Tiryaq-E-Wabai, an Unani Formulation for its Potency against SARS-CoV-2 Spike Glycoprotein and Main Protease

2021 ◽  
Vol 11 (4-S) ◽  
pp. 86-100
Author(s):  
N ZAHEER AHMED ◽  
DICKY JOHN DAVIS ◽  
NOMAN ANWAR ◽  
ASIM ALI KHAN ◽  
RAM PRATAP MEENA ◽  
...  
Keyword(s):  
In Silico ◽  
Dynamics Simulation ◽  
In Vivo Studies ◽  
Spike Glycoprotein ◽  
Unani Medicine ◽  
Main Protease ◽  
Pubchem Database ◽  
The Stability

COVID-19 was originated in Wuhan, China, in December 2019 and has been declared a pandemic disease by WHO. The number of infected cases continues unabated and so far, no specific drug approved for targeted therapy. Hence, there is a need for drug discovery from traditional medicine. Tiryaq-e-Wabai is a well-documented formulation in Unani medicine for its wide use as prophylaxis during epidemics of cholera, plague and other earlier epidemic diseases. The objective of the current study is to generate in-silico evidence and evaluate the potency of Tiryaq-e-Wabai against SARS-CoV-2 spike (S) glycoprotein and main protease (3CLpro). The structures of all phytocompounds used in this study were retrieved from PubChem database and some were built using Marvin Sketch. The protein structure of the SARS-CoV-2 S glycoprotein and 3CLpro was retrieved from the PDB ID: 6LZG and 7BQY respectively. AutoDock Vina was used to predict top ranking poses with best scores. The results of the molecular docking showed that phytocompounds of Tiryaq-e-Wabai exhibited good docking power with spike glycoprotein and 3CLpro. Among tested compounds Crocin from Zafran and Aloin A from Sibr showed strong binding to spike glycoprotein and 3CLpro respectively. Molecular dynamics simulation confirmed the stability of the S glycoprotein-Crocin and 3CLpro-Aloin A complexes. The Unani formulation Tiryaq-e-Wabai has great potential to inhibit the SARS-CoV-2, which have to be substantiated with further in-vitro and in-vivo studies. Keywords: In-silico study, SARS-CoV-2, Tiryaq-e-Wabai, Unani formulation, Crocin, Aloin A

scholarly journals Voltammetric Behaviour of Drug Molecules as a Predictor of Metabolic Liabilities

2020 ◽  
Vol 88 (4) ◽  
pp. 46 ◽  
Author(s):  
Hikari Fuchigami ◽  
Mandeep K. Bal ◽  
Dale A. C. Brownson ◽  
Craig E. Banks ◽  
Alan M. Jones
Keyword(s):  
Drug Stability ◽  
Pharmaceutical Research ◽  
Parent Drug ◽  
Vital Role ◽  
Oxidation Potential ◽  
The Body ◽  
Metabolic Stability ◽  
Drug Molecules ◽  
The Stability

Electron transfer plays a vital role in drug metabolism and underlying toxicity mechanisms. Currently, pharmaceutical research relies on pharmacokinetics (PK) and absorption, distribution, metabolism, elimination and toxicity (ADMET) measurements to understand and predict drug reactions in the body. Metabolic stability (and toxicity) prediction in the early phases of the drug discovery and development process is key in identifying a suitable lead compound for optimisation. Voltammetric methods have the potential to overcome the significant barrier of new drug failure rates, by giving insight into phase I metabolism events which can have a direct bearing on the stability and toxicity of the parent drug being dosed. Herein, we report for the first time a data-mining investigation into the voltammetric behaviour of reported drug molecules and their correlation with metabolic stability (indirectly measured via t½), as a potential predictor of drug stability/toxicity in vivo. We observed an inverse relationship between oxidation potential and drug stability. Furthermore, we selected and prepared short- (<10 min) and longer-circulation (>2 h) drug molecules to prospectively survey the relationship between oxidation potential and stability.

scholarly journals Exploring the Association Between Sialic Acid and SARS-CoV-2 Spike Protein Through a Molecular Dynamics-Based Approach

2021 ◽  
Vol 2 ◽  
Author(s):  
Leonardo Bò ◽  
Mattia Miotto ◽  
Lorenzo Di Rienzo ◽  
Edoardo Milanetti ◽  
Giancarlo Ruocco
Keyword(s):  
Molecular Dynamics ◽  
Sialic Acid ◽  
Structural Characteristics ◽  
Principal Component ◽  
Dynamics Simulation ◽  
Spike Protein ◽  
Binding Effect ◽  
Terminal Domain ◽  
Correlated Motion ◽  
The Stability

Recent experimental evidence demonstrated the capability of SARS-CoV-2 Spike protein to bind sialic acid molecules, which was a trait not present in SARS-CoV and could shed light on the molecular mechanism used by the virus for the cell invasion. This peculiar feature has been successfully predicted by in-silico studies comparing the sequence and structural characteristics that SARS-CoV-2 shares with other sialic acid-binding viruses, like MERS-CoV. Even if the region of the binding has been identified in the N-terminal domain of Spike protein, so far no comprehensive analyses have been carried out on the spike-sialic acid conformations once in the complex. Here, we addressed this aspect performing an extensive molecular dynamics simulation of a system composed of the N-terminal domain of the spike protein and a sialic acid molecule. We observed several short-lived binding events, reconnecting to the avidic nature of the binding, interestingly occurring in the surface Spike region where several insertions are present with respect to the SARS-CoV sequence. Characterizing the bound configurations via a clustering analysis on the Principal Component of the motion, we identified different possible binding conformations and discussed their dynamic and structural properties. In particular, we analyze the correlated motion between the binding residues and the binding effect on the stability of atomic fluctuation, thus proposing regions with high binding propensity with sialic acid.

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