MOLECULAR DOCKING OF HYRTIMOMINE A-K FROM MARINE SPONGE HYRTIOS SPP. AS ANTICANCER TARGET OF PHOSPHOINOSITIDE-DEPENDENT KINASE 1

Erlotinib, Afatinib, and WZ4002 are quinazoline derivative compounds and classified as first, second, and third-generation EGFR inhibitor. All inhibitors have been given directly to cancer patients for many years but find some resistance. These three compounds are candidates as the lead compound in designing a new inhibitor. This work aims to design a new potential quinazoline derivative as an EGFR inhibitor focused on the molecular docking result of the lead compound. The research method was started in building a pharmacophore model of the lead compound then used to design a new potential inhibitor by employing the AutoDock 4.2 program. Molecular dynamics simulation evaluates the interaction of all complexes using the Amber15 program. There are three new potential compounds (A1, B1, and C1) whose hydrogen bond interaction in the main catalytic area (Met769 residue). The Molecular Mechanics Generalized Born Surface Area (MM-GBSA) binding energy calculation shows that B1 and C1 compounds have lower binding energies than erlotinib as a positive control, which indicates that B1 and C1 are potential as EGFR inhibitor.

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Assessment of Antimicrobial, Antioxidant, Anti-inflammatory, and Anticancer Properties of Polyphenols in Ragi Plant

10.47363/jpr/2021(3)123 ◽

2021 ◽

pp. 1-6

Author(s):

Vikil Ramesh ◽

◽

Megha Mathur ◽

Kiran S ◽

Rajeswari N ◽

...

Keyword(s):

Molecular Docking ◽

Drug Targets ◽

Antimicrobial Properties ◽

Binding Energies ◽

Binding Potential ◽

Binding Interaction ◽

Anticancer Properties ◽

Antimicrobial Studies ◽

Anti Inflammatory ◽

Antioxidant And Antimicrobial Activity

Background and Objectives: (Eleusine coracana) is a rich source of proteins, phytochemicals, and fibers with several health benefits. Cancer accounts for 12c/o of death worldwide, which requires superior therapeutic strategies. Polyphenols are a class of phytochemicals in plant derived compounds, that has been reported to exhibit anticancer, antioxidant, anti-inflammatory and antimicrobial properties. The objective was to investigate the binding potential of selected polyphenols against probable drug targets of various types of cancer and provide an insight on the anti-inflammatory, antioxidant, and antimicrobial properties by using molecular docking method. Materials and Methods: Ten receptors were analyzed for anticancer, two receptors for anti- inflammatory, three receptors for antioxidant, and five receptors for antimicrobial studies. The binding competences of polyphenol towards selected targets were studied by molecular docking. Results: Affinity of polyphenols as an anticancer agent with respect specific targets viz CDKN1A, FOXO1, FGFR2, CTNNB1, and GST-PI was evident. The binding energies of docked complexes were found to be -116.56, -114.5, -110.38, -106.9, and -105.07 kcal/mol, respectively. In case of anti-inflammatory the best binding was seen in between COX-2 receptor with and COX-1 receptors. Antioxidant studies it was observed that SOD2 showed the best binding energy followed by SOD3. Followed by antimicrobial studies the best binding interaction some how were shown by IARS and PBP1a receptors. Conclusion: Present studies revealed that polyphenols has superior interacting properties towards these cancer targets than their normal ligands and shows a strong approach to anti-inflammatory, antioxidant, and antimicrobial activity

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Phloroglucinol as a Potential Candidate against Trypanosoma congolense Infection: Insights from In Vivo, In Vitro, Molecular Docking and Molecular Dynamic Simulation Analyses

Molecules ◽

10.3390/molecules27020469 ◽

2022 ◽

Vol 27 (2) ◽

pp. 469

Author(s):

Nasirudeen Idowu Abdulrashid ◽

Suleiman Aminu ◽

Rahma Muhammad Adamu ◽

Nasir Tajuddeen ◽

Murtala Bindawa Isah ◽

...

Keyword(s):

Molecular Docking ◽

Docking Studies ◽

Binding Energies ◽

Sub Saharan Africa ◽

Dynamics Simulation ◽

Potential Candidate ◽

Inhibitory Effects ◽

Hydrogen Bond Interaction

Sub-Saharan Africa is profoundly challenged with African Animal Trypanosomiasis and the available trypanocides are faced with drawbacks, necessitating the search for novel agents. Herein, the chemotherapeutic potential of phloroglucinol on T. congolense infection and its inhibitory effects on the partially purified T. congolense sialidase and phospholipase A2 (PLA2) were investigated. Treatment with phloroglucinol for 14 days significantly (p < 0.05) suppressed T. congolense proliferation, increased animal survival and ameliorated anemia induced by the parasite. Using biochemical and histopathological analyses, phloroglucinol was found to prevent renal damages and splenomegaly, besides its protection against T. congolense-associated increase in free serum sialic acids in infected animals. Moreover, the compound inhibited bloodstream T. congolense sialidase via mixed inhibition pattern with inhibition binding constant (Ki) of 0.181 µM, but a very low uncompetitive inhibitory effects against PLA2 (Ki > 9000 µM) was recorded. Molecular docking studies revealed binding energies of −4.9 and −5.3 kcal/mol between phloroglucinol with modeled sialidase and PLA2 respectively, while a 50 ns molecular dynamics simulation using GROMACS revealed the sialidase-phloroglucinol complex to be more compact and stable with higher free binding energy (−67.84 ± 0.50 kJ/mol) than PLA2-phloroglucinol complex (−77.17 ± 0.52 kJ/mol), based on MM-PBSA analysis. The sialidase-phloroglucinol complex had a single hydrogen bond interaction with Ser453 while none was observed for the PLA2-phloroglucinol complex. In conclusion, phloroglucinol showed moderate trypanostatic activity with great potential in ameliorating some of the parasite-induced pathologies and its anti-anemic effects might be linked to inhibition of sialidase rather than PLA2.

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Synthesis, biological evaluation and molecular docking studies of new 2-ethoxy-4-{[3-alkyl(aryl)-4,5-dihydro-1H-1,2,4-triazol-5-on-4-yl]-azomethine}-phenyl benzenesulfonate derivatives on human aldose reductase enzyme

10.3762/bxiv.2021.31.v1 ◽

2021 ◽

Author(s):

Gül Özdemir ◽

Namık Kılınç ◽

Sevda Manap ◽

Murat Beytur ◽

Muzaffer Alkan ◽

...

Keyword(s):

Molecular Docking ◽

Antibacterial Activities ◽

Docking Studies ◽

Biological Evaluation ◽

Binding Energies ◽

Diffusion Method ◽

Alkyl Aryl ◽

Molecular Docking Studies ◽

New Compounds

A series of 2-ethoxy-4-{[3-alkyl(aryl)-4,5-dihydro-1H-1,2,4-triazol-5-on-4-yl]-azomethine}-phenyl benzenesulfonates (3) were synthesized from the reactions of 3-alkyl(aryl)-4-amino-4,5-dihydro-1H-1,2,4-triazol-5-ones (1) with 2-ethoxy-4-formyl-phenyl benzenesulfonate (2). N-acetyl derivatives (4) of compounds 3 were also obtained. Then, the compounds 3 have been treated with morpholine and 2,6-dimethylmorpholine in the presence of formaldehyde to synthesize 2-ethoxy-4-{[1-(morpholine-4-yl-methyl)-3-alkyl(aryl)-4,5-dihydro-1H-1,2,4-triazol-5-on-4-yl]-azomethine}-phenyl benzenesulfonates (5) and 2-ethoxy-4-{[1-(2,6-dimethylmorpholine-4-yl-methyl)-3-alkyl(aryl)-4,5-dihydro-1H-1,2,4-triazol-5-on-4-yl]-azomethine}-phenyl benzenesulfonates (6), respectively. The structures of twenty-six new compounds were identified by using elemental analysis, IR, 1H NMR, 13C NMR, and MS spectral data. In addition, in vitro antibacterial activities of the new compounds were evaluated against six bacteria such as Escherichia coli, Pseudomonas aeruginosa, Staphylococcus aureus, Bacillus subtilis, Bacillus cereus and Klepsiella pneumonia according to agar well diffusion method. Furthermore, in order to determine the possible antidiabetic properties of the synthesized 1,2,4-triazole derivatives, inhibition effects on the AR enzyme were investigated and molecular docking studies were carried out to determine the receptor-ligand interactions of these compounds. IC50 values of triazole-derived compounds (6a, 6b, 6d-g) against AR enzyme were determined as 0.95 µM, 0.75 µM, 1.83 µM, 0.62 µM, 1.05 µM, 1.06 µM, respectively. Considering the docking scores and binding energies obtained docking studies, it has been shown that molecules fit very well to the active site of the AR enzyme.

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Predicting the bioactivity of 2-alkoxycarbonylallyl esters as potential antiproliferative agents against pancreatic cancer (MiaPaCa-2) cell lines: GFA-based QSAR and ELM-based models with molecular docking

Journal of Genetic Engineering and Biotechnology ◽

10.1186/s43141-021-00133-2 ◽

2021 ◽

Vol 19 (1) ◽

Author(s):

Oluwatoba Emmanuel Oyeneyin ◽

Babatunde Samuel Obadawo ◽

Adesoji Alani Olanrewaju ◽

Taoreed Olakunle Owolabi ◽

Fahidat Adedamola Gbadamosi ◽

...

Keyword(s):

Molecular Docking ◽

Three Dimensional ◽

Growth Factor Receptor ◽

Qsar Model ◽

Quantitative Structure Activity Relationship ◽

Binding Energies ◽

Standard Drug ◽

Lead Compounds ◽

Learning Machine ◽

New Compounds

Abstract Background The number of cancer-related deaths is on the increase, combating this deadly disease has proved difficult owing to resistance and some serious side effects associated with drugs used to combat it. Therefore, scientists continue to probe into the mechanism of action of cancer cells and designing novel drugs that could combat this disease more safely and effectively. Here, we developed a genetic function approximation model to predict the bioactivity of some 2-alkoxyecarbonyl esters and probed into the mode of interaction of these molecules with an epidermal growth factor receptor (3POZ) using the three-dimensional quantitative structure activity relationship (QSAR), extreme learning machine (ELM), and molecular docking techniques. Results The developed QSAR model with predicted (R2pred) of 0.756 showed that the model was fit to be validated parameter for a built model and also proved that the developed model could be used in practical situation, R2 for training set (0.9929) and test set (0.8397) confirmed that the model could successfully predict the activity of new compounds due to its correlation with the experimental activity, the models generated with ELM models showed improved prediction of the activity of the molecules. The lead compounds (22 and 23) had binding energies of −6.327 and −7.232 kcalmol−1 for 22 and 23 respectively and displayed better inhibition at the binding sites of 3POZ when compared with that of the standard drug, chlorambucil (−6.0 kcalmol−1). This could be attributed to the presence of double bonds and the α-ester groups. Conclusion The QSAR and ELM models had good prognostic ability and could be used to predict the bioactivity of novel anti-proliferative drugs.

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Plasmodium falciparum Dihydroorotate Dehydrogenase, Fragment-based Drug Design, 2D-QSAR, DFT Calculation, Lead Optimization, Induced Fit Docking

10.20944/preprints202112.0296.v1 ◽

2021 ◽

Author(s):

Opeyemi Iwaloye ◽

Olusola Elekofehinti ◽

Femi Olawale ◽

Prosper Chukwuemeka ◽

Kikiowo Babatomiwa ◽

...

Keyword(s):

Plasmodium Falciparum ◽

Dft Calculations ◽

Qsar Model ◽

Binding Energies ◽

Nucleophilic Attack ◽

Linear Regression Method ◽

Dihydroorotate Dehydrogenase ◽

2D Qsar ◽

Pharmacokinetic Properties ◽

New Compounds

Plasmodium falciparum dihydroorotate dehydrogenase (PfDODH) is one of the enzymes currently explored in the treatment of malaria. Although there is currently no clinically approved drug targeting PfDODH, many of the compounds in clinical trials have [1, 2, 4,] triazolo [1, 5-a] pyrimidin-7-amine backbone structure. This study sought to design new compounds from the fragments of known experimental inhibitors of PfDODH. Nine experimental compounds retrieved from Drug Bank online were downloaded and broken into fragments using Schrodinger power shell; the fragments were recombined to generate new ligand structures using BREED algorithm. The new compounds were docked with PfDODH crystal structure, after which the compounds were filtered with extensive drug-likeness and toxicity parameters. A 2D-QSAR model was built using the multiple linear regression method and externally validated. The compounds electronic behaviours were studied using DFT calculations. Structural investigation of the six designed compounds, which had lower binding energies than the standard inhibitors, showed that five of them had [1, 2, 4,] triazolo [1, 5-a] pyrimidin-7-amine moieties and interacted with essential residues at the PfDODH binding site. In addition to their drug-like and pharmacokinetic properties, they also showed minimal toxicities. The externally validated 2D-QSAR model with R2 and Q2 values of 0.6852 and 0.6691, confirmed the inhibitory prowess of these compounds against PfDODH. The DFT calculations showed regions of the molecules prone to electrophilic and nucleophilic attack. The current study thus provides insight into the development of a new set of potent PfDODH inhibitors.

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In-silico design of novel myocilin inhibitors for glaucoma therapy

Tropical Journal of Pharmaceutical Research ◽

10.4314/tjpr.v16i10.29 ◽

2017 ◽

Vol 16 (10) ◽

pp. 2527-2533

Author(s):

Min Tang ◽

Yang Fu ◽

Ying Fan ◽

Ming-Shui Fu ◽

Zhi Zheng ◽

...

Keyword(s):

Molecular Docking ◽

Virtual Screening ◽

In Silico ◽

Binding Energies ◽

Computational Approaches ◽

Screening Technique ◽

Lead Compounds ◽

Potent Inhibition ◽

Pharmacokinetic Properties ◽

Molecular Libraries

Purpose: To explore newer computational approaches in the design of novel myocilin inhibitors for the treatment of glaucoma.Methods: An in-silico virtual screening technique based on simulation of molecular docking was utilised to design a novel myocilin inhibitors for the treatment of glaucoma. The designed novel molecules were theoretically evaluated to predict their pharmacokinetic properties and toxic effects. Lead molecules were screened out in virtual screening technique on the basis of low binding energies obtained in AutoDock based molecular docking simulation.Results: Out of ten top lead compounds screened, ZINC01729523 and ZINC04692015 were promising, having shown potent inhibition of myocilin, good pharmacokinetic properties and absence of any toxic effects.Conclusion: In-silico virtual screening of molecular libraries containing a large number of ligands is very useful for short-listing of potential lead molecules for further structure-based discovery of antiglaucoma-drugs.Keywords: Glaucoma, Myocilin, Docking, Virtual-screening, Autodock, Ligand, Drug design

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Inhibition of COVID-19 RNA-Dependent RNA Polymerase by Natural Bioactive Compounds: Molecular Docking Analysis

10.21203/rs.3.rs-25850/v1 ◽

2020 ◽

Cited By ~ 1

Author(s):

Nourhan M. Abd El-Aziz ◽

Mohamed G. Shehata ◽

Olfat M. Eldin Awad ◽

Sobhy A. El-Sohaimy

Keyword(s):

Molecular Docking ◽

Benzoic Acid ◽

Rna Polymerase ◽

Gallic Acid ◽

Ellagic Acid ◽

Binding Energies ◽

Rna Dependent Rna Polymerase ◽

Docking Analysis ◽

Cell Defense ◽

Pharmacokinetic Properties

Abstract Till now there is no approved treatment for COVID-19. Phenolic compounds are known to have antiviral activity against many viruses such as HCV and HIV, through their phenol rings interaction with viral proteins and/or RNA, or via its regulating MAP kinase signaling in host cell defense. The present study aimed to assess polyphenolic compounds (gallic acid, quercetin, caffeine, resveratrol, naringenin, benzoic acid, oleuropein and ellagic acid) as COVID-19 RNA-dependent RNA polymerase (PDB ID 6M71) inhibitors, using a molecular docking. Molecular docking of these polyphenols were performed using Autodock 4.0 and Chimera 1.8.1 programs. Drug likeness and polyphenols pharmacokinetic properties were calculated using SWISSADME prediction website (http://www.swissadme.ch/). Remdesivir and ribavirin were used as standard antiviral drugs for comparison. Docking analysis results, ranked by binding energy value (ΔG) of several tested ligands toward COVID-19 polymerase were; remdesivir > gallic acid > quercetin > caffeine > ribavirin > resveratrol > naringenin > benzoic acid > oleuropein > ellagic acid. The binding energies were -8.51, - 7.55, - 7.17, -6.10, - 6.01, - 5.79, - 5.69, - 5.54, - 4.94 and -4.59 kcal/mol, respectively. All tested polyphenols performed hydrogen bonds with one or two of the nucleotide triphosphate entry channel (NTP) amino acids in COVID-19 polymerase (ARG 555, ARG 555, LYS 545), except caffeine and oleuropein. Binding of polyphenols to NTP of COVID-19 polymerase may influence in the entry of the substrate and divalent cations into the central active site cavity, inhibiting the enzyme activity. It appears promising that, gallic acid and quercetin exhibited high binding affinity than ribavirin toward COVID-19 polymerase and expressed good drug likeness and pharmacokinetic properties. Therefore, gallic acid and quercetin may represent a potential treatment option for COVID-19. Further researches are urgently required to investigate the potential uses of these polyphenols in COVID-19 treatment. Additionally, resveratrol, naringenin, benzoic and ellagic acid seem to have the best potential to act as COVID-19 polymerase inhibitors.

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In Silico Molecular Docking and Molecular Dynamic Simulation of Potential Inhibitors of 3C-like Main Proteinase (3CLpro) from Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) Using Selected African Medicinal Plants

10.26434/chemrxiv.12480434.v1 ◽

2020 ◽

Author(s):

Sahar Qazi ◽

Mustafa Alhaji Isa ◽

Adam Mustapha ◽

Khalid Raza ◽

Ibrahim Alkali Allamin ◽

...

Keyword(s):

Molecular Docking ◽

Severe Acute Respiratory Syndrome ◽

In Silico ◽

Md Simulation ◽

Binding Energies ◽

Anacardium Occidentale ◽

Upper Respiratory Tract ◽

Ligand Complex ◽

In Silico Docking ◽

Main Protease

The Severe Acute Respiratory Syndrome 2 (SARS-CoV-2) is an infectious virus that causes mild to severe life-threatening upper respiratory tract infection. The virus emerged in Wuhan, China in 2019, and later spread across the globe. Its genome has been completely sequenced and based on the genomic information, the virus possessed 3C-Like Main Protease (3CLpro), an essential multifunctional enzyme that plays a vital role in the replication and transcription of the virus by cleaving polyprotein at eleven various sites to produce different non-structural proteins. This makes the protein an important target for drug design and discovery. Herein, we analyzed the interaction between the 3CLpro and potential inhibitory compounds identified from the extracts of Zingiber offinale and Anacardium occidentale using in silico docking and Molecular Dynamics (MD) Simulation. The crystal structure of SARS-CoV-2 main protease in complex with 02J (5-Methylisoxazole-3-carboxylic acid) and PEJ (composite ligand) (PDB Code: 6LU7,2.16Å) retrieved from Protein Data Bank (PDB) and subject to structure optimization and energy minimization. A total of twenty-nine compounds were obtained from the extracts of Zingiber offinale and the leaves of Anacardium occidentale. These compounds were screened for physicochemical (Lipinski rule of five, Veber rule, and Egan filter), Pan-Assay Interference Structure (PAINS), and pharmacokinetic properties to determine the Pharmaceutical Active Ingredients (PAIs). Of the 29 compounds, only nineteen (19) possessed drug-likeness properties with efficient oral bioavailability and less toxicity. These compounds subjected to molecular docking analysis to determine their binding energies with the 3CLpro. The result of the analysis indicated that the free binding energies of the compounds ranged between ˗5.08 and -10.24kcal/mol, better than the binding energies of 02j (-4.10kcal/mol) and PJE (-5.07kcal.mol). Six compounds (CID_99615 = -10.24kcal/mol, CID_3981360 = 9.75kcal/mol, CID_9910474 = -9.14kcal/mol, CID_11697907 = -9.10kcal/mol, CID_10503282 = -9.09kcal/mol and CID_620012 = -8.53kcal/mol) with good binding energies further selected and subjected to MD Simulation to determine the stability of the protein-ligand complex. The results of the analysis indicated that all the ligands form stable complexes with the protein, although, CID_9910474 and CID_10503282 had a better stability when compared to other selected phytochemicals (CID_99615, CID_3981360, CID_620012, and CID_11697907).

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In Silico Molecular Docking and Molecular Dynamic Simulation of Potential Inhibitors of 3C-like Main Proteinase (3CLpro) from Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) Using Selected African Medicinal Plants

10.26434/chemrxiv.12480434 ◽

2020 ◽

Author(s):

Sahar Qazi ◽

Mustafa Alhaji Isa ◽

Adam Mustapha ◽

Khalid Raza ◽

Ibrahim Alkali Allamin ◽

...

Keyword(s):

Molecular Docking ◽

Severe Acute Respiratory Syndrome ◽

In Silico ◽

Md Simulation ◽

Binding Energies ◽

Anacardium Occidentale ◽

Upper Respiratory Tract ◽

Ligand Complex ◽

In Silico Docking ◽

Main Protease

The Severe Acute Respiratory Syndrome 2 (SARS-CoV-2) is an infectious virus that causes mild to severe life-threatening upper respiratory tract infection. The virus emerged in Wuhan, China in 2019, and later spread across the globe. Its genome has been completely sequenced and based on the genomic information, the virus possessed 3C-Like Main Protease (3CLpro), an essential multifunctional enzyme that plays a vital role in the replication and transcription of the virus by cleaving polyprotein at eleven various sites to produce different non-structural proteins. This makes the protein an important target for drug design and discovery. Herein, we analyzed the interaction between the 3CLpro and potential inhibitory compounds identified from the extracts of Zingiber offinale and Anacardium occidentale using in silico docking and Molecular Dynamics (MD) Simulation. The crystal structure of SARS-CoV-2 main protease in complex with 02J (5-Methylisoxazole-3-carboxylic acid) and PEJ (composite ligand) (PDB Code: 6LU7,2.16Å) retrieved from Protein Data Bank (PDB) and subject to structure optimization and energy minimization. A total of twenty-nine compounds were obtained from the extracts of Zingiber offinale and the leaves of Anacardium occidentale. These compounds were screened for physicochemical (Lipinski rule of five, Veber rule, and Egan filter), Pan-Assay Interference Structure (PAINS), and pharmacokinetic properties to determine the Pharmaceutical Active Ingredients (PAIs). Of the 29 compounds, only nineteen (19) possessed drug-likeness properties with efficient oral bioavailability and less toxicity. These compounds subjected to molecular docking analysis to determine their binding energies with the 3CLpro. The result of the analysis indicated that the free binding energies of the compounds ranged between ˗5.08 and -10.24kcal/mol, better than the binding energies of 02j (-4.10kcal/mol) and PJE (-5.07kcal.mol). Six compounds (CID_99615 = -10.24kcal/mol, CID_3981360 = 9.75kcal/mol, CID_9910474 = -9.14kcal/mol, CID_11697907 = -9.10kcal/mol, CID_10503282 = -9.09kcal/mol and CID_620012 = -8.53kcal/mol) with good binding energies further selected and subjected to MD Simulation to determine the stability of the protein-ligand complex. The results of the analysis indicated that all the ligands form stable complexes with the protein, although, CID_9910474 and CID_10503282 had a better stability when compared to other selected phytochemicals (CID_99615, CID_3981360, CID_620012, and CID_11697907).

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