scholarly journals Molecular Docking Analysis of Chloroquine and Hydroxychloroquine and Design of Anti-SARS-CoV2 Protease Inhibitor

2020 ◽  
Vol 14 (10) ◽  
pp. 52
Author(s):  
Usman Abdulfatai ◽  
Adamu Uzairu ◽  
Gideon Adamu Shallangwa ◽  
Sani Uba
Keyword(s):  
Amino Acids ◽  
Molecular Docking ◽  
Binding Energy ◽  
Binding Site ◽  
Docking Simulation ◽  
Binding Energies ◽  
Drug Candidate ◽  
Molecular Docking Study ◽  
Docking Analysis ◽  
Molecular Docking Analysis

In this present investigation, simulated molecular docking study of chloroquine and hydroxychloroquine compounds were investigated on the SARS-CoV2 enzyme to determine the types of amino acids responsible for the biochemical reaction at the binding site. A structure-based docking design technique was explored in designing a novel derivative of chloroquine for the treatment and management of new COVID 19 disease. To achieve this, the molecular docking simulation method was used to investigate the level of chloroquine and hydroxychloroquine (Drugs presently under clinical trial) interactions on SARS-CoV2 enzyme (a causative agent of COVID 19 disease). Chloroquine and hydroxychloroquine which has been debated as drugs for the management of COVID 19 were subjected to molecular docking analysis, and the binding energies generated were found to be -6.1 kcal/mol and -6.8 kcal/mol respectively. Moreover, novel 2-((4-((7-chloroquinolin-4 yl) amino)pentyl)((methylamino)methyl)amino) ethan-1-ol as an anti-SARS-CoV2 protease was designed through the structural modification of hydroxychloroquine. The binding energy of this drug candidate was found to be -6.9 kcal/mol. This novel drug was found to formed hydrogen and conventional interactions with the binding site of SARS-CoV2 protease through amino acids such as Glutamic acid (GLU166), Glycine (GLY143), Phenylalanine (PHE140), Asparagine (ASN142), Histidine (HIS163), His (HIS172, HIS41, HIS163), Leucine (LEU41, LEU27), Glycine (GLY143), Glutamine (GLN189), Methionine (MET49, MET165), Serine (SER 46), Cysteine (CYS145) and Threonine (THR25). With this binding energy, this new drug candidate could bind better to the human SARS-CoV2 protease’ binding site. This research provides a clue for other scientists on various ways of designing and identify the types of amino acids that may be responsible for biochemical action on SARS-CoV2 protease.

Quantitative structure-activity relationship model, molecular docking simulation and computational design of some novel compounds against DNA gyrase receptor.

2020 ◽  
Vol 16 ◽  
Author(s):  
Shola Elijah Adeniji
Keyword(s):  
Biological Activity ◽  
Molecular Docking ◽  
Binding Energy ◽  
Biological Activities ◽  
Docking Simulation ◽  
Dna Gyrase ◽  
Computational Design ◽  
Multi Drug Resistance ◽  
Drug Candidate ◽  
Standard Drug

Introduction: Mycobacterium tuberculosis has instigated a serious challenge toward the effective treatment of tuberculosis. The reoccurrence of the resistant strains of the disease to accessible drugs/medications has mandate for the development of more effective anti-tubercular agents with efficient activities. Time expended and costs in discovering and synthesizing new hypothetical drugs with improved biological activity have been a major challenge toward the treatment of multi-drug resistance strain M. tuberculosis (TB). Meanwhile, to solve the problem stated, a new approach i.e. QSAR which establish connection between novel drugs with a better biological against M. tuberculosis is adopted. Methods: The anti-tubercular model established in this study to forecast the biological activities of some anti-tubercular compounds selected and to design new hypothetical drugs is subjective to the molecular descriptors; MATS7s, SM1_DzZ, SpMin4_Bhv, TDB3v and RDF70v. Ligand-receptor interactions between quinoline derivatives and the receptor (DNA gyrase) was carried out using molecular docking technique by employing the PyRx virtual screening software and discovery studio visualizer software. Furthermore, docking study indicates that compounds 20 of the derivatives with promising biological activity have the utmost binding energy of -17.79 kcal/mol. Results: Meanwhile, the interaction of the standard drug; isoniazid with the target enzyme was observed with the binding energy -14.6 kcal/mol which was significantly lesser than the binding energy of the ligand (compound 20).Therefore, compound 20 served as a template structure to designed compounds with more efficient activities. Among the compounds designed; compounds 20p was observed with better anti-tubercular activities with more prominent binding affinities of -24.3kcal/mol. Conclusion: The presumption of this research aid the medicinal chemists and pharmacist to design and synthesis a novel drug candidate against the tuberculosis. Moreover, in-vitro and in-vivo test could be carried out to validate the computational results.

scholarly journals In-silico Investigation of the Interaction between Beta-class Glutathione S-Transferase and Five Antibiotics, namely; Ampicillin, Tetracycline, Chloramphenicol, Ciprofloxacin and Cephalexin

2021 ◽  
Vol 25 (4) ◽  
pp. 497-502
Author(s):  
D. Shehu ◽  
S Danlami ◽  
M. Ya’u ◽  
A. Babandi ◽  
H.M. Yakasai ◽  
...  
Keyword(s):  
Amino Acids ◽  
Antibiotic Resistance ◽  
Molecular Docking ◽  
Binding Site ◽  
Substrate Binding ◽  
Docking Study ◽  
Glutathione S Transferase ◽  
Molecular Docking Study ◽  
Substrate Binding Site ◽  
Glutathione S Transferases

Glutathione s-transferases(GSTs) are enzymes involved in the conjugation and deactivation of various xenobiotics including drugs. Thisin-silico study was undertaken in order to investigate the interaction between beta-class glutathione s-transferase and five selected antibiotics, namely; ampicillin, tetracycline, chloramphenicol, ciprofloxacin and cephalexin using molecular docking study. RaptorX server was used to predict the amino acids involved at the binding sitewhile molecular docking study was employed in order to investigate the binding interactions.RaptorX predicted several amino acids which were different from the ones observed in molecular docking because of the variability in the substrate binding site of GSTs however, all the amino acids predicted by RaptorX were also found to be involved in the GSH binding.Lys107, Phe109, Ser110, Leu113, Trp114, His115 and Arg123, Leu168 were the amino acids involved in the binding of various antibiotics to the substrate binding site of the protein while Ala9, Cys10, Leu32, Tyr51, Val52, Pro53, Glu65 and Ala66were involved in the binding of the co-substrate GSH to the binding site of the protein. The results indicated that all the antibiotics showed a good binding affinity with the beta class GST and are therefore capable of deactivating the drugs. With these, finding a beta class GST inhibitors alongside antibiotics during a treatment of diseases will be of beneficial in the current fight against antibiotic resistance.

Screening of Potent Inhibitors Against 2019 Novel Coronavirus (Covid-19) from Alliumsativum and Allium cepa: An In Silico Approach

2020 ◽  
Vol 11 (1) ◽  
pp. 7981-7993
Keyword(s):  
Molecular Docking ◽  
Allium Cepa ◽  
In Silico ◽  
Treatment Options ◽  
Natural Compounds ◽  
Binding Energies ◽  
Drug Candidate ◽  
Molecular Docking Study ◽  
Standard Drug ◽  
Main Protease

The infection of the global COVID-19 pandemic and the absence of any possible treatment options warrants the use of all available resources to find effective drugs against this scourge. Various ongoing researches have been searching for the new drug candidate against COVID-19 infection. The research objective is based on the molecular docking study of inhibition of the main protease of COVID-19 by natural compounds found in Allium sativum and Allium cepa. Lipinski rule of five and Autodock 4.2 was used by using the Lamarckian Genetic Algorithm to perform Molecular docking to analyze the probability of docking. Further, ADME analysis was also performed by using SwissADME, which is freely available on the web. In the present study, we identified S-Allylcysteine sulfoxide (Alliin), S-Propyl cysteine, S-Allylcysteine, S-Ethylcysteine, S-Allylmercaptocysteine, S-Methylcysteine, S-propyl L-cysteine with binding energies (-5.24, -4.49, -4.99, -4.91, -4.79, -4.76, -5.0 kcal/mol) as potential inhibitor candidates for COVID-19. Out of 7 selected compounds, alliin showed the best binding efficacy with target protein 6LU7. In silico ADME analysis revealed that these compounds are expected to have a standard drug-like property as well. Our findings propose that natural compounds from garlic and onion can be used as potent inhibitors against the main protease of COVID-19, which could be helpful in combating the COVID-19 pandemic.

In silico investigation of Alliin as potential activator for AMPA receptor

2021 ◽  
Author(s):  
Hilal Ozturk ◽  
N. Yorulmaz ◽  
Mustafa Durgun ◽  
Harun Basoglu
Keyword(s):  
Molecular Docking ◽  
Binding Energy ◽  
Ampa Receptor ◽  
Docking Study ◽  
Binding Energies ◽  
Molecular Docking Study ◽  
Gaba A ◽  
Docking Method ◽  
Ampa And Nmda Receptors ◽  
The Central Nervous System

Abstract Natural products from plants, such as flavonoids, arouse immense interest in medicine because of the therapeutic and many other bioactive properties. The molecular docking is a very useful method to screen the molecules based on their free binding energies and give important structural suggestions about how molecules might activate or inhibit the target receptor by comparing reference molecules. Alliin and Allicin differ from many other flavonoids because of containing no benzene rings and having nitrogen and sulfur atoms in their structure. In this study Alliin and Allicin affinity on AMPA, NMDA and GABA-A receptors were evaluated in the central nervous system by using the molecular docking method. Both Alliin and Allicin indicated no inhibitory effects. However Alliin showed significant selectivity to human AMPA receptor (3RN8) as an excitatory. The binding energy of glutamate to 3RN8 was -6.61 kcal/mol, while the binding energy of Allin was -8.08 kcal/mol. Furthermore Alliin’s affinity to the other AMPA and NMDA receptors is quite satisfactory compared to the reference molecule glutamate. In conclusion based on the molecular docking study, Alliin can be useful for synaptic plasticity studies whereas might be enhance seizure activity because of the increased permeability to cations. It also can be beneficial to improve learning and memory and can be used as a supportive product to the hypofunction of NMDA associated problems.

scholarly journals Cruzain Inhibition by Terpenoids: A Molecular Docking Analysis

2008 ◽  
Vol 3 (6) ◽  
pp. 1934578X0800300 ◽  
Author(s):  
Ifedayo V. Ogungbe ◽  
William N. Setzer
Keyword(s):  
Molecular Docking ◽  
Active Site ◽  
Binding Energies ◽  
Hydrophobic Pocket ◽  
Docking Analysis ◽  
Protein Target ◽  
Hydrophobic Compounds ◽  
Sesquiterpene Hydrocarbons ◽  
Inhibitory Activities ◽  
Molecular Docking Analysis

A molecular docking analysis has been carried out using monoterpene and sesquiterpene hydrocarbons and triterpenoids that have shown enzyme inhibitory activity as ligands for the cysteine protease cruzain. The binding energies of the docked ligands roughly correlate with their inhibitory activities. The orientations of the docked ligands are consistent with a mechanism whereby these hydrophobic compounds dock into a hydrophobic pocket near the active site, thereby blocking binding of the protein target to the protease.

scholarly journals Comparative Docking Analysis of Rational Drugs Against COVID-19 Main Protease

2020 ◽  
Author(s):  
LALIT SAMANT ◽  
Vyomesh Javle
Keyword(s):  
Molecular Docking ◽  
Treatment Options ◽  
Docking Study ◽  
Binding Energies ◽  
Molecular Docking Study ◽  
Docking Analysis ◽  
Discovery Studio ◽  
Main Protease ◽  
Medicinal Use ◽  
Lamarckian Genetic Algorithm

COVID-19, a new strain of coronavirus (CoV), was identified in Wuhan, China, in 2019. No specific therapies are available, and investigations regarding COVID-19 treatment are lacking. Crystallised COVID-19 main protease (Mpro), which is a potential drug target. The present study aimed to assess drugs found in literature as potential COVID-19 Mpro inhibitors, using a molecular docking study. Molecular docking was performed using Autodock 4.2, with the Lamarckian Genetic Algorithm, to analyse the probability of docking. The docking was cross-validated using Swiss Dock. COVID-19 Mpro was docked with several compounds, and docking was analysed by Biovia Discovery Studio 2020. Quinine and hydroxychloroquine were used as standards for comparison. The binding energies obtained from the docking of 6LU7, 2GTB with screened drugs viz., Quinine, Artesunate, Clotrimazol, Artemether, Quercetin, Mefloquine, ciprofloxacin, clindamycin, cipargamin, SJ-733 were in between -7.0 to -9.6 kcal/mol. On consideration of similar binding energy obtained from Autodock vina and SWISSDock and interaction residue pattern specifically (GLU 166,CYS 145, CYS44 and MET 49 residue) for SJ-733 & JPC-3210 may represent potential treatment options, and appeared to have the best potential to act as COVID-19 Mpro inhibitors. However, further research is necessary to investigate their potential medicinal use against CoV.

scholarly journals Molecular Docking, Design and Pharmacokinetics Study of Some Anti-Epilepsy Compounds

2021 ◽  
Vol 15 (5) ◽  
pp. 67
Author(s):  
Gideon Adamu Shallangwa ◽  
Adamu Uzairu ◽  
Usman Abdulfatai
Keyword(s):  
Molecular Docking ◽  
Binding Energy ◽  
Binding Site ◽  
Simulation Software ◽  
The Body ◽  
Drug Candidate ◽  
Binding Interaction ◽  
Docking Simulations ◽  
Pharmacokinetic Properties ◽  
In Silico Molecular Docking

To complement experimental study, in-silico molecular docking was carried out to access and understand the interacting binding energy dynamism of some experimental potent anti-epilepsy compounds on the GABAT enzyme’s (A causative agent for epilepsy disorder) binding site. The Autoduck vina docking option of Pyrx multipurpose simulation software was used in this study to perform docking simulations. Four anti-epilepsy drug (AED) candidates was designed (Anti-epilepsy disorders) through a structural based drug technique. All the designed AED candidates shows stable binding interaction energies. Out of the four designed compounds, 9-decyl-8-methyl-6-(1H-1, 2, 4-triazol-1-yl)-9H-purine shows better binding energy with GABAT. The docked energy score of the compound (7.8Kcal/mole) was better than the binding energy scores of the standard anti-epilepsy compounds, Carbamazepine (-6.5kcal/mole) and Valproate (-4.5kcal/mole). With this level of interaction, this drug candidate could bind better on the enzyme’s binding site. Also, the pharmacokinetic properties investigation revealed that all designed AED candidates could be synthesized easily, absorbed, distributed, metabolized and excreted from the body. Therefore, this drug candidate could be synthesized and used effectively for the treatment and management of epilepsy disorder.

scholarly journals In Silico Screening of Sesquiterpene Lactones as Aldose Reductase Inhibitors

2021 ◽  
Vol 28 (2) ◽  
pp. 64-69
Author(s):  
A.M. Alhassan ◽  
I. Malami
Keyword(s):  
Molecular Docking ◽  
Binding Energy ◽  
Aldose Reductase ◽  
In Silico ◽  
Sesquiterpene Lactones ◽  
Docking Simulation ◽  
Binding Energies ◽  
In Silico Docking ◽  
Aldose Reductase Inhibitors ◽  
Reductase Inhibitors

Aldose reductase, a key enzyme of the polyol pathway catalyses NADPH-dependent reduction of glucose to sorbitol. Increased activity of this enzyme is considered a major factor contributing to the development of diabetic complications hence could be an important target in the treatment of these complications. In this work, a database of sesquiterpenes was prepared and screened for their drug-like properties based on the Lipinski’s rule of 5. The co-crystallised structure of aldose reductase was obtained from the Protein Databank and prepared for docking. In silico docking experiments was performed on Autodock tools using 198 sesquiterpene lactones that passed screening, and compounds with the lowest binding energy and favourable binding interactions were selected for molecular docking simulation. Six of the best ranking compounds selected had binding energies ranging from–11.96 Kcal/mol to -9.45 Kcal/mol  and were comparable to the energy of the standard inhibitor Idd594 used in the study. They also show good complementarity in their binding to the residues of the binding pocket. The results suggest that dehydrooopodin (1), 11(S),13-dihydrolactucopicrin (2), and Chrysanin (3) offered potential inhibitory activities toward aldose reductase and may serve as lead compounds for in vivo validation as aldose reductase inhibitors. Keywords: Sesquiterpene lactones, Aldose reductase, Binding energy, Molecular docking, Autodock

scholarly journals Comparative Docking Analysis of Rational Drugs Against COVID-19 Main Protease

2020 ◽  
Author(s):  
LALIT SAMANT ◽  
Vyomesh Javle
Keyword(s):  
Molecular Docking ◽  
Treatment Options ◽  
Docking Study ◽  
Binding Energies ◽  
Molecular Docking Study ◽  
Docking Analysis ◽  
Discovery Studio ◽  
Main Protease ◽  
Medicinal Use ◽  
Lamarckian Genetic Algorithm

COVID-19, a new strain of coronavirus (CoV), was identified in Wuhan, China, in 2019. No specific therapies are available, and investigations regarding COVID-19 treatment are lacking. Crystallised COVID-19 main protease (Mpro), which is a potential drug target. The present study aimed to assess drugs found in literature as potential COVID-19 Mpro inhibitors, using a molecular docking study. Molecular docking was performed using Autodock 4.2, with the Lamarckian Genetic Algorithm, to analyse the probability of docking. The docking was cross-validated using Swiss Dock. COVID-19 Mpro was docked with several compounds, and docking was analysed by Biovia Discovery Studio 2020. Quinine and hydroxychloroquine were used as standards for comparison. The binding energies obtained from the docking of 6LU7, 2GTB with screened drugs viz., Quinine, Artesunate, Clotrimazol, Artemether, Quercetin, Mefloquine, ciprofloxacin, clindamycin, cipargamin, SJ-733 were in between -7.0 to -9.6 kcal/mol. On consideration of similar binding energy obtained from Autodock vina and SWISSDock and interaction residue pattern specifically (GLU 166,CYS 145, CYS44 and MET 49 residue) for SJ-733 & JPC-3210 may represent potential treatment options, and appeared to have the best potential to act as COVID-19 Mpro inhibitors. However, further research is necessary to investigate their potential medicinal use against CoV.

scholarly journals A Computational Study to Identify Potential Inhibitors of SARS-CoV-2 Main Protease (Mpro) from Eucalyptus Active Compounds

Computation ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 79
Author(s):  
Ibrahim Ahmad Muhammad ◽  
Kanikar Muangchoo ◽  
Auwal Muhammad ◽  
Ya’u Sabo Ajingi ◽  
Ibrahim Yahaya Muhammad ◽  
...  
Keyword(s):  
Molecular Docking ◽  
Binding Energy ◽  
Computational Study ◽  
Md Simulations ◽  
Binding Energies ◽  
Drug Candidate ◽  
Global Public Health ◽  
Main Protease ◽  
Poisson Boltzmann ◽  
Potential Inhibitors

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was found to be a severe threat to global public health in late 2019. Nevertheless, no approved medicines have been found to inhibit the virus effectively. Anti-malarial and antiviral medicines have been reported to target the SARS-CoV-2 virus. This paper chose eight natural eucalyptus compounds to study their binding interactions with the SARS-CoV-2 main protease (Mpro) to assess their potential for becoming herbal drugs for the new SARS-CoV-2 infection virus. In-silico methods such as molecular docking, molecular dynamics (MD) simulations, and Molecular Mechanics Poisson Boltzmann Surface Area (MM/PBSA) analysis were used to examine interactions at the atomistic level. The results of molecular docking indicate that Mpro has good binding energy for all compounds studied. Three docked compounds, α-gurjunene, aromadendrene, and allo-aromadendrene, with highest binding energies of −7.34 kcal/mol (−30.75 kJ/mol), −7.23 kcal/mol (−30.25 kJ/mol), and −7.17 kcal/mol (−29.99 kJ/mol) respectively, were simulated with GROningen MAchine for Chemical Simulations (GROMACS) to measure the molecular interactions between Mpro and inhibitors in detail. Our MD simulation results show that α-gurjunene has the strongest binding energy of −20.37 kcal/mol (−85.21 kJ/mol), followed by aromadendrene with −18.99 kcal/mol (−79.45 kJ/mol), and finally allo-aromadendrene with −17.91 kcal/mol (−74.95 kJ/mol). The findings indicate that eucalyptus may be used to inhibit the Mpro enzyme as a drug candidate. This is the first computational analysis that gives an insight into the potential role of structural flexibility during interactions with eucalyptus compounds. It also sheds light on the structural design of new herbal medicinal products against Mpro.

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