scholarly journals Fruit Bromelain-Derived Peptide Potentially Restrains the Attachment of SARS-CoV-2 Variants to hACE2: A Pharmacoinformatics Approach

Molecules ◽  
2022 ◽  
Vol 27 (1) ◽  
pp. 260
Author(s):  
Trina Ekawati Tallei ◽  
Fatimawali ◽  
Ahmad Akroman Adam ◽  
Mona M. Elseehy ◽  
Ahmed M. El-Shehawi ◽  
...  
Keyword(s):  
Root Mean Square ◽  
Antiviral Agents ◽  
Md Simulations ◽  
Radius Of Gyration ◽  
Mean Square ◽  
Angiotensin Converting Enzyme 2 ◽  
In Silico Study ◽  
Mean Square Fluctuation ◽  
Binding Residues ◽  
Binding Energy Calculations

Before entering the cell, the SARS-CoV-2 spike glycoprotein receptor-binding domain (RBD) binds to the human angiotensin-converting enzyme 2 (hACE2) receptor. Hence, this RBD is a critical target for the development of antiviral agents. Recent studies have discovered that SARS-CoV-2 variants with mutations in the RBD have spread globally. The purpose of this in silico study was to determine the potential of a fruit bromelain-derived peptide. DYGAVNEVK. to inhibit the entry of various SARS-CoV-2 variants into human cells by targeting the hACE binding site within the RBD. Molecular docking analysis revealed that DYGAVNEVK interacts with several critical RBD binding residues responsible for the adhesion of the RBD to hACE2. Moreover, 100 ns MD simulations revealed stable interactions between DYGAVNEVK and RBD variants derived from the trajectory of root-mean-square deviation (RMSD), radius of gyration (Rg), and root-mean-square fluctuation (RMSF) analysis, as well as free binding energy calculations. Overall, our computational results indicate that DYGAVNEVK warrants further investigation as a candidate for preventing SARS-CoV-2 due to its interaction with the RBD of SARS-CoV-2 variants.

Effect of Ionic Strength on the Aggregation Propensity of Aβ1-42 Peptide: An In-silico Study

2020 ◽  
Vol 14 (3) ◽  
pp. 216-226
Author(s):  
Priyanka Borah ◽  
Venkata S.K. Mattaparthi
Keyword(s):  
Diffusion Coefficient ◽  
Ionic Strength ◽  
Marked Effect ◽  
Computational Study ◽  
Conformational Dynamics ◽  
Rapid Change ◽  
Md Simulations ◽  
Radius Of Gyration ◽  
Aggregation Propensity ◽  
In Silico Study

Background: Aggregation of misfolded proteins under stress conditions in the cell might lead to several neurodegenerative disorders. Amyloid-beta (Aβ1-42) peptide, the causative agent of Alzheimer’s disease, has the propensity to fold into β-sheets under stress, forming aggregated amyloid plaques. This is influenced by factors such as pH, temperature, metal ions, mutation of residues, and ionic strength of the solution. There are several studies that have highlighted the importance of ionic strength in affecting the folding and aggregation propensity of Aβ1-42 peptide. Objective: To understand the effect of ionic strength of the solution on the aggregation propensity of Aβ1-42 peptide, using computational approaches. Materials and Methods: In this study, Molecular Dynamics (MD) simulations were performed on Aβ1-42 peptide monomer placed in (i) 0 M, (ii) 0.15 M, and (iii) 0.30 M concentration of NaCl solution. To prepare the input files for the MD simulations, we have used the Amberff99SB force field. The conformational dynamics of Aβ1-42 peptide monomer in different ionic strengths of the solutions were illustrated from the analysis of the corresponding MD trajectory using the CPPtraj tool. Results: From the MD trajectory analysis, we observe that with an increase in the ionic strength of the solution, Aβ1-42 peptide monomer shows a lesser tendency to undergo aggregation. From RMSD and SASA analysis, we noticed that Aβ1-42 peptide monomer undergoes a rapid change in conformation with an increase in the ionic strength of the solution. In addition, from the radius of gyration (Rg) analysis, we observed Aβ1-42 peptide monomer to be more compact at moderate ionic strength of the solution. Aβ1-42 peptide was also found to hold its helical secondary structure at moderate and higher ionic strengths of the solution. The diffusion coefficient of Aβ1-42 peptide monomer was also found to vary with the ionic strength of the solution. We observed a relatively higher diffusion coefficient value for Aβ1-42 peptide at moderate ionic strength of the solution. Conclusion: Our findings from this computational study highlight the marked effect of ionic strength of the solution on the conformational dynamics and aggregation propensity of Aβ1-42 peptide monomer.

scholarly journals Discovery of Potential Chemical Probe as Inhibitors of CXCL12 Using Ligand-Based Virtual Screening and Molecular Dynamic Simulation

Molecules ◽  
2020 ◽  
Vol 25 (20) ◽  
pp. 4829
Author(s):  
Sajjad Haider ◽  
Assem Barakat ◽  
Zaheer Ul-Haq
Keyword(s):  
Virtual Screening ◽  
Molecular Dynamic ◽  
Root Mean Square ◽  
Cancer Metastasis ◽  
Pharmacophore Model ◽  
Binding Mode ◽  
Dynamics Simulation ◽  
Radius Of Gyration ◽  
Mean Square ◽  
Dynamic Simulations

CXCL12 are small pro-inflammatory chemo-attractant cytokines that bind to a specific receptor CXCR4 with a role in angiogenesis, tumor progression, metastasis, and cell survival. Globally, cancer metastasis is a major cause of morbidity and mortality. In this study, we targeted CXCL12 rather than the chemokine receptor (CXCR4) because most of the drugs failed in clinical trials due to unmanageable toxicities. Until now, no FDA approved medication has been available against CXCL12. Therefore, we aimed to find new inhibitors for CXCL12 through virtual screening followed by molecular dynamics simulation. For virtual screening, active compounds against CXCL12 were taken as potent inhibitors and utilized in the generation of a pharmacophore model, followed by validation against different datasets. Ligand based virtual screening was performed on the ChEMBL and in-house databases, which resulted in successive elimination through the steps of pharmacophore-based and score-based screenings, and finally, sixteen compounds of various interactions with significant crucial amino acid residues were selected as virtual hits. Furthermore, the binding mode of these compounds were refined through molecular dynamic simulations. Moreover, the stability of protein complexes, Root Mean Square Deviation (RMSD), Root Mean Square Fluctuation (RMSF), and radius of gyration were analyzed, which led to the identification of three potent inhibitors of CXCL12 that may be pursued in the drug discovery process against cancer metastasis.

scholarly journals Screening of Potent Phytochemical Inhibitors Against SARS-CoV-2 Main Protease: An Integrative Computational Approach

2021 ◽  
Vol 1 ◽  
Author(s):  
Shafi Mahmud ◽  
Md. Robiul Hasan ◽  
Suvro Biswas ◽  
Gobindo Kumar Paul ◽  
Shamima Afrose ◽  
...  
Keyword(s):  
Root Mean Square ◽  
Global Economy ◽  
Transmission Rate ◽  
Accessible Surface Area ◽  
Dynamics Simulation ◽  
Solvent Accessible Surface Area ◽  
Radius Of Gyration ◽  
Mean Square ◽  
Protease Inhibition ◽  
Main Protease

Coronavirus disease 2019 (COVID-19) is a potentially lethal and devastating disease that has quickly become a public health threat worldwide. Due to its high transmission rate, many countries were forced to implement lockdown protocols, wreaking havoc on the global economy and the medical crisis. The main protease (Mpro) of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative virus for COVID-19, represent an effective target for the development of a new drug/vaccine because it is well-conserved and plays a vital role in viral replication. Mpro inhibition can stop the replication, transcription as well as recombination of SARS-CoV-2 after the infection and thus can halt the formation of virus particles, making Mpro a viable therapeutic target. Here, we constructed a phytochemical dataset based on a rigorous literature review and explored the probability that various phytochemicals will bind with the main protease using a molecular docking approach. The top three hit compounds, medicagol, faradiol, and flavanthrin, had binding scores of −8.3, −8.6, and −8.8 kcal/mol, respectively, in the docking analysis. These three compounds bind to the active groove, consisting of His41, Cys45, Met165, Met49, Gln189, Thr24, and Thr190, resulting in main protease inhibition. Moreover, the multiple descriptors from the molecular dynamics simulation, including the root-mean-square deviation, root-mean-square fluctuation, solvent-accessible surface area, radius of gyration, and hydrogen bond analysis, confirmed the stable nature of the docked complexes. In addition, absorption, distribution, metabolism, excretion, and toxicity (ADMET) analysis confirmed a lack of toxicity or carcinogenicity for the screened compounds. Our computational analysis may contribute toward the design of an effective drug against the main protease of SARS-CoV-2.

scholarly journals Hyperoxidation of Peroxiredoxin 6 Induces Alteration from Dimeric to Oligomeric State

Antioxidants ◽  
2019 ◽  
Vol 8 (2) ◽  
pp. 33 ◽  
Author(s):  
Sharifun Shahnaj ◽  
Rimpy Chowhan ◽  
Potshangbam Meetei ◽  
Pushpa Kakchingtabam ◽  
Khundrakpam Herojit Singh ◽  
...  
Keyword(s):  
Root Mean Square ◽  
Mean Square ◽  
Hydrophobic Core ◽  
Post Translational Modification ◽  
Oligomeric State ◽  
Native Page ◽  
Peroxiredoxin 6 ◽  
Glutathione Peroxidases ◽  
Mean Square Fluctuation ◽  
Calcium Independent Phospholipase A2

Peroxiredoxins(Prdx), the family of non-selenium glutathione peroxidases, are important antioxidant enzymes that defend our system from the toxic reactive oxygen species (ROS). They are thiol-based peroxidases that utilize self-oxidation of their peroxidatic cysteine (Cp) group to reduce peroxides and peroxidized biomolecules. However, because of its high affinity for hydrogen peroxide this peroxidatic cysteine moiety is extremely susceptible to hyperoxidation, forming peroxidase inactive sulfinic acid (Cys-SO2H) and sulfonic acid (Cys-SO3H) derivatives. With the exception of peroxiredoxin 6 (Prdx6), hyperoxidized sulfinic forms of Prdx can be reversed to restore peroxidase activity by the ATP-dependent enzyme sulfiredoxin. Interestingly, hyperoxidized Prdx6 protein seems to have physiological significance as hyperoxidation has been reported to dramatically upregulate its calcium independent phospholipase A2 activity. Using biochemical studies and molecular dynamic (MD) simulation, we investigated the roles of thermodynamic, structural and internal flexibility of Prdx6 to comprehend the structural alteration of the protein in the oxidized state. We observed the loosening of the hydrophobic core of the enzyme in its secondary and tertiary structures. These changes do not affect the internal dynamics of the protein (as indicated by root-mean-square deviation, RMSD and root mean square fluctuation, RMSF plots). Native-PAGE and dynamic light scattering experiments revealed the formation of higher oligomers of Prdx6 under hyperoxidation. Our study demonstrates that post translational modification (like hyperoxidation) in Prdx6 can result in major alterations of its multimeric status.

scholarly journals Investigating the role of N-terminal domain in phosphodiesterase 4B-inhibition by molecular dynamics simulation

2020 ◽  
Author(s):  
Vidushi Sharma ◽  
Sharad Wakode
Keyword(s):  
Ligand Binding ◽  
Root Mean Square ◽  
Active Site ◽  
Binding Pocket ◽  
Dynamics Simulation ◽  
Radius Of Gyration ◽  
Mean Square ◽  
Sequence Identity ◽  
Terminal Domain ◽  
Phosphodiesterase 4B

AbstractPhosphodiesterase 4B (PDE4B) is a potential therapeutic target for the inflammatory respiratory diseases such as congestive obstructive pulmonary disease (COPD) and asthma. The sequence identity of ∼88% with its isoform PDE4D is the key barrier in developing selective PDE4B inhibitors which may help to overcome associated side effects. Despite high sequence identity, both isoforms differ in few residues present in N-terminal (UCR2) and C-terminal (CR3) involved in catalytic site formation. Previously, we designed and tested specific PDE4B inhibitors considering N-terminal residues as a part of the catalytic cavity. In continuation, current work thoroughly presents an MD simulation-based analysis of N-terminal residues and their role in ligand binding. The various parameters viz. root mean square deviation (RMSD), radius of gyration (Rg), root mean square fluctuation (RMSF), principal component analysis (PCA), dynamical cross-correlation matrix (DCCM) analysis, secondary structure analysis, and residue interaction mapping were investigated to establish rational. Results showed that UCR2 reduced RMSF values for the metal binding pocket (31.5±11 to 13.12±6 Å2) and the substrate-binding pocket (38.8±32 to 17.3±11 Å2). UCR2 enhanced anti-correlated motion at the active site region that led to the improved ligand-binding affinity of PDE4B from −24.57±3 to −35.54±2 kcal/mol. Further, the atomic-level analysis indicated that T-pi and π-π interactions between inhibitors and residues are vital forces that regulate inhibitor association to PDE4B with high affinity. In conclusion, UCR2, the N-terminal domain, embraces the dynamics of PDE4B active site and stabilizes PDE4B inhibitor interactions. Therefore the N-terminal domain needs to be included by designing next-generation, selective PDE4B-inhibitors as potential anti-inflammatory drugs.

scholarly journals Reappraisal of Trifluperidol against NSP-3 protein: Potential therapeutic for COVID-19

2020 ◽  
Author(s):  
Ajita Pandey
Keyword(s):  
Root Mean Square ◽  
Dynamics Simulation ◽  
Solvent Accessible Surface Area ◽  
Radius Of Gyration ◽  
Scoring Functions ◽  
Mean Square ◽  
Structural Protein ◽  
Approved Drugs ◽  
Fda Approved Drugs

Abstract Novel coronavirus disease 2019 (COVID-19) is a highly infectious disease that is caused by the recently discovered severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). Because there are no specific vaccines or drugs for SARS-CoV-2, drug repurposing may be a promising approach. SARS-CoV-2 has a positive-sense RNA genome that encodes non-structural proteins (Nsps), which are essential for viral replication in the host cell. Non-structural protein 3 (Nsp3) is a multidomain protein and is the largest protein of the replicase complex. Nsp3 contains an ADP-ribose phosphatase (ADRP) domain, also called the macrodomain, which interferes with the host immune response. In the present study, we used computational regression methods to target the ADRP domain of Nsp3, using FDA-approved drugs. We virtually screened 2,892 FDA-approved drugs, using a combination of molecular docking and scoring functions. Saquinavir and trifluperidol were identified as potential leads and were further investigated using molecular dynamics simulation (MDS) to predict the stability and behavior of the ADRP-drug complexes. Analysis of root mean square deviation, root mean square fluctuation, radius of gyration, solvent accessible surface area and number of hydrogen bonds showed that the ADRP-trifluperidol complex is more stable than the ADRP-saquinavir complex. The screening and the MDS results suggest that trifluperidol is a novel inhibitor of the ADRP domain of Nsp3. Trifluperidol could, therefore, potentially be used to help control the spread of COVID-19, either alone or in combination with antiviral agents. Further in-vitro and in-vivo experiments are necessary to confirm our in silico results.

MOLECULAR DOCKING AND MOLECULAR DYNAMICS STUDIES OF THE INTERACTION BETWEEN COUMARIN-NEUROTRANSMITTER DERIVATIVES AND CARBONIC ANHYDRASE IX

2021 ◽  
Author(s):  
Dušan Dimić ◽  
◽  
Dejan Milenković ◽  
Edina Avdović ◽  
Goran Kaluđerović ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Molecular Docking ◽  
Carbonic Anhydrase ◽  
Root Mean Square ◽  
Binding Energies ◽  
Intramolecular Interactions ◽  
Biologically Active ◽  
Radius Of Gyration ◽  
Mean Square ◽  
Native Ligand

Novel biologically active compounds can be obtained by the structural modification of coumarins. In this contribution, five new derivatives of 4-hydroxycoumarin with tyramine, octopamine, norepinephrine, 3-methoxytyramine, and dopamine were obtained. Their structures were optimized based on the previously obtained crystal structure of the 4-hydroxycoumarin-dopamine derivative. The special emphasis was put on the effect of various substituents on the structure of obtained compounds and intramolecular interactions governing the stability. To investigate their possible antitumor activity, molecular docking and molecular dynamics simulations were performed with Carbonic anhydrase, a prognostic factor in several cancers, and compared to the native ligand, 5-acetamido-1,3,4-thiadiazole- 2-sulfonamide. The results have shown that all of the coumarin-neurotransmitter derivatives bind to the active pocket of protein with the binding energies higher than for the native ligand. The main contributions to the binding energies were discussed. The Root Mean Square Deviation (RMSD), Root Mean Square Fluctuation (RMSF), and Radius of gyration (Rg), as results of MD simulations, were used to predict the activity of compounds towards chosen protein. The highest MD binding energies were obtained for the derivatives with dopamine and 3-methoxytyramine, with the van der Waals interaction and hydrogen bonds being the most important contributors.

scholarly journals Unraveling the Deleterious Effects of Cancer-Driven STK11 Mutants through Conformational Sampling Approach

2016 ◽  
Vol 15 ◽  
pp. CIN.S38044 ◽  
Author(s):  
Merlin Lopus ◽  
D. Meshach Paul ◽  
R. Rajasekaran
Keyword(s):  
Binding Energy ◽  
Root Mean Square ◽  
Critical Role ◽  
Intramolecular Interactions ◽  
Solvent Accessible Surface Area ◽  
Driver Mutations ◽  
Radius Of Gyration ◽  
Conformational Sampling ◽  
Mean Square ◽  
Structural Variations

Tumor suppressor gene, STK11, encodes for serine-threonine kinase, which has a critical role in regulating cell growth and apoptosis. Mutations of the same lead to the inactivation of STK11, which eventually causes different types of cancer. In this study, we focused on identifying those driver mutations through analyzing structural variations of mutants, viz., D194N, E199K, L160P, and Y49D. Native and the mutants were analyzed to determine their geometrical deviations such as root-mean-square deviation, root-mean-square fluctuation, radius of gyration, potential energy, and solvent-accessible surface area using conformational sampling technique. Additionally, the global minimized structure of native and mutants was further analyzed to compute their intramolecular interactions and distribution of secondary structure. Subsequently, simulated thermal denaturation and docking studies were performed to determine their structural variations, which in turn alter the formation of active complex that comprises STK11, STRAD, and MO25. The deleterious effect of the mutants would result in a comparative loss of enzyme function due to variations in their binding energy pertaining to spatial conformation and flexibility. Hence, the structural variations in binding energy exhibited by the mutants, viz., D194N, E199K, L160P, and Y49D, to that of the native, consequently lead to pathogenesis.

scholarly journals Insights from molecular docking and molecular dynamics on the potential of vitexin as an antagonist candidate against lipopolysaccharide (LPS) for microglial activation in neuroinflammation

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
M. A. F. Yahaya ◽  
A. R. Abu Bakar ◽  
J. Stanslas ◽  
N. Nordin ◽  
M. Zainol ◽  
...  
Keyword(s):  
Binding Energy ◽  
Binding Site ◽  
Root Mean Square ◽  
Inflammatory Cytokines ◽  
Nuclear Factor Κb ◽  
Stable Complex ◽  
Radius Of Gyration ◽  
Mean Square ◽  
Dynamic Simulations ◽  
Pro Inflammatory Cytokines

Abstract Background Neuroinflammation has been identified to be the key player in most neurodegenerative diseases. If neuroinflammation is left to be unresolved, chronic neuroinflammation will be establish. Such situation is due to the overly-activated microglia which have the tendency to secrete an abundance amount of pro-inflammatory cytokines into the neuron microenvironment. The abundance of pro-inflammatory cytokines will later cause toxic and death to neurons. Toll-like receptor 4 (TLR4)/MD-2 complex found on the cell surface of microglia is responsible for the attachment of LPS and activation of nuclear factor-κB (NF-κB) downstream signalling pathway. Albeit vitexin has been shown to possess anti-inflammatory property, however, little is known on its ability to bind at the binding site of TLR4/MD-2 complex of microglia as well as to be an antagonist for LPS. Results The present study reveals that both vitexin and donepezil are able to bind at the close proximity of LPS binding site located at the TLR4/MD-2 complex with the binding energy of − 4.35 and − 9.14 kcal/mol, respectively. During molecular dynamic simulations, both vitexin and donepezil formed stable complex with TLR4/MD-2 throughout the 100 ns time length with the root mean square deviation (RMSD) values of 2.5 Å and 4.0 Å, respectively. The root mean square fluctuation (RMSF) reveals that both compounds are stable. Interestingly, the radius of gyration (rGyr) for donepezil shows notable fluctuations when compare with vitexin. The MM-GBSA results showed that vitexin has higher binding energy in comparison with donepezil. Conclusions Taken together, the findings suggest that vitexin is able to bind at the binding site of TLR4/MD-2 complex with more stability than donepezil throughout the course of 100 ns simulation. Hence, vitexin has the potential to be an antagonist candidate for LPS.

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