scholarly journals Investigating the binding affinity, molecular dynamics, and ADMET properties of 2,3-dihydrobenzofuran derivatives as an inhibitor of fungi, bacteria, and virus protein

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Ashutosh Nath ◽  
Ajoy Kumer ◽  
Fahmida Zaben ◽  
Md. Wahab Khan
Keyword(s):  
Molecular Dynamics ◽  
Molecular Docking ◽  
Binding Affinity ◽  
Salmonella Typhi ◽  
Potential Interaction ◽  
Virus Protein ◽  
Compound Libraries ◽  
Biological Studies ◽  
Effective Role ◽  
Active Residue

Abstract Background 2,3-Dihydrobenzofurans (DHB) have proposed as advantages structures, and used as chemical entresol to design small compound libraries. The present study illustrates to explore 2,3-dihydrobenzofurans(DHB) in comparison to selected some derivatives drugs by using molecular docking and molecular dynamics, as well as ADMET studies. The online database “Molinspiration online server” was used to detect the physicochemical pharmacokinetics and drug likeness score of DHB drugs. For estimation of molecular docking, six pathogens, such as Aspergillus niger (PDB id: 1kum), Candida albicans (3dra), Escherichia coli (6og7), Salmonella typhi (4k6l), Influenza (1ru7), and Hepatitis C (4tyd), were chosen due to close biological studies. Results From Molinspiration online server has showed that DHB did not violate the “Lipinski five rule” as drugs, leading compound for molecular docking exhibited the potential interaction to the active residue. The binding affinity of DHB2 (−7.00 kcal/mol) against 3dra was higher than DHB8 (−6.40 kcal/mol) and DHB (5.70 kcal/mol) for compounds. The results of molecular docking show that the compounds mentioned in this study are not equally effective against pathogens, such as fungi, viruses, and bacteria. However, DHB2, DHB3, and DHB 8 compounds can work against almost given pathogens which results are derived from auto dock vina in terms of binding affinity around 6.00 kcal/mol, and Fire Dock has values from about 38.0 to 42.0 kcal/mol. To explore the dynamic nature of the interaction, 50 ns molecular dynamics (MD) simulation was performed on the selected protein-DHB complexes. Thus, DHB 8 has greater potential to interact for further for fungi. Conclusion Finding from this study can play an effective role as a drug in any biological system. This study as well recommends to researchers to synthesize these DHBs for evaluation of its biological activity. Graphical abstract

scholarly journals Molecular Docking and Molecular Dynamics Simulation Studies of Triterpenes from Vernonia patula with the Cannabinoid Type 1 Receptor

2021 ◽  
Vol 22 (7) ◽  
pp. 3595
Author(s):  
Md Afjalus Afjalus Siraj ◽  
Md. Sajjadur Rahman ◽  
Ghee T. Tan ◽  
Veronique Seidel
Keyword(s):  
Molecular Dynamics ◽  
Molecular Docking ◽  
Molecular Dynamics Simulation ◽  
Binding Affinity ◽  
Docking Studies ◽  
Dynamics Simulation ◽  
Simulation Studies ◽  
Cannabinoid Type 1 Receptor ◽  
Docking Approach

A molecular docking approach was employed to evaluate the binding affinity of six triterpenes, namely epifriedelanol, friedelin, α-amyrin, α-amyrin acetate, β-amyrin acetate, and bauerenyl acetate, towards the cannabinoid type 1 receptor (CB1). Molecular docking studies showed that friedelin, α-amyrin, and epifriedelanol had the strongest binding affinity towards CB1. Molecular dynamics simulation studies revealed that friedelin and α-amyrin engaged in stable non-bonding interactions by binding to a pocket close to the active site on the surface of the CB1 target protein. The studied triterpenes showed a good capacity to penetrate the blood–brain barrier. These results help to provide some evidence to justify, at least in part, the previously reported antinociceptive and sedative properties of Vernonia patula.

scholarly journals Identification of Potent Inhibitors against Aurora Kinase A Using Molecular Docking and Molecular Dynamics Simulation Studies

2019 ◽  
Author(s):  
Sathishkumar Chinnasamy ◽  
Gurudeeban Selvaraj ◽  
Aman Chandra Kaushik ◽  
Satyavani Kaliamurthi ◽  
Asma Sindhoo Nangraj ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Molecular Docking ◽  
Molecular Dynamics Simulation ◽  
Binding Affinity ◽  
Aurora Kinase ◽  
Dynamics Simulation ◽  
Simulation Studies ◽  
Aurora Kinase A ◽  
High Binding Affinity ◽  
Kinase A

Aurora kinase A (AURKA) is a normal cell proliferation-inducing enzyme encoded by AURKA gene, with over-expression observed in different types of malignancies. Hence, the goal is to find potential inhibitors against AURKA. In this study, molecular docking, Standard Precision and Extra Precision methods were employed. After the docking study, the ligands showed an extremely low binding score which suggested very high binding affinity of the ligands. Furthermore, Quantum polarized ligand docking (QPLD) was performed to predict the binding status of the molecules. Based on the binding affinity, the top four compounds were chosen for further analysis. The docked complexes were further analyzed in explicit water conditions using 100 ns molecular dynamics simulations and binding free energy calculation. Then, density functional theory (DFT) calculation was used to calculate the molecular properties of the molecules. Finally, systems biology experiments validated the molecular docking and molecular dynamics simulation studies and indicated that quercetin, kaempferol, luteolin and rutin could inhibit the AURKA. The results show that, these four molecules have high binding affinity to the AURKA and significant interactions (LEU139, GLU211and ALA213) were also identified with the hinge region of Aurora kinase A. Thus, LEU139, GLU211, and ALA213 were identified as the crucial protein mechanisms.

scholarly journals IN SILICO AND MOLECULAR DYNAMIC STUDIES OF NATURAL FLAVONOIDS FOR THEIR INHIBITORY PATTERN AGAINST INTERLEUKIN-6 (1ALU) AND TNF-Α (5MU8) FOR MANAGEMENT OF ULCERATIVE COLITIS

2021 ◽  
Vol 10 (6) ◽  
pp. 3766-3773
Author(s):  
Manish Kumar Gupta
Keyword(s):  
Ulcerative Colitis ◽  
Molecular Dynamics ◽  
Molecular Docking ◽  
Binding Affinity ◽  
Interleukin 6 ◽  
Dynamic Studies ◽  
Starting Point ◽  
Tnf Α ◽  
Ancient Times ◽  
Dynamics Modelling

The search for a prospective lead chemical is a time-consuming and complicated procedure that necessitates a lot of money, patience, and labour. Humans have been using phytochemicals, especially secondary metabolites, for this purpose since ancient times, and they are still on the hunt for even source for drug discovery. Natural flavonoids including rhamnetin, eupatorin, and primuletin are involved in the treatment of numerous biological diseases. The research focuses on molecular docking of 10 flavonoid compounds with the Interleukin-6 (1ALU) and TNF-α (5MU8) to assess the binding affinity at the binding location with the highest binding affinity. The flavonoid-protein complex with the highest binding affinity and interactions was studied using molecular dynamics modelling. With the Interleukin-6 (1ALU) and TNF-α (5MU8), the flavonoid naringin had the lowermost binding energy of 9.8 Kcal/mol. It took 20 nanoseconds to complete and yielded satisfactory results. The rhamnetin, eupatorin, and primuletin residues are more successful at maintaining flavonoid stability against Interleukin-6 (1ALU) and TNF-α (5MU8), according to the overall results of our simulation. These expected results will serve as a starting point for more investigation into the significance of their drug-likeliness properties in the management of ulcerative colitis.

scholarly journals In Silico Studies of Tumor Targeted Peptide-Conjugated Natural Products for Targeting Over-Expressed Receptors in Breast Cancer Cells Using Molecular Docking, Molecular Dynamics and MMGBSA Calculations

2022 ◽  
Vol 12 (1) ◽  
pp. 515
Author(s):  
Lucy R. Hart ◽  
Charlotta G. Lebedenko ◽  
Saige M. Mitchell ◽  
Rachel E. Daso ◽  
Ipsita A. Banerjee
Keyword(s):  
Molecular Dynamics ◽  
Molecular Docking ◽  
In Silico ◽  
Point Mutations ◽  
Binding Energies ◽  
Peptide Sequence ◽  
Peroxisome Proliferator ◽  
Peptide Conjugates ◽  
Biological Studies ◽  
In Silico Studies

In this work, in silico studies were carried out for the design of diterpene and polyphenol-peptide conjugates to potentially target over-expressed breast tumor cell receptors. Four point mutations were induced into the known tumor-targeting peptide sequence YHWYGYTPQN at positions 1, 2, 8 and 10, resulting in four mutated peptides. Each peptide was separately conjugated with either chlorogenate, carnosate, gallate, or rosmarinate given their known anti-tumor activities, creating dual targeting compounds. Molecular docking studies were conducted with the epidermal growth factor receptor (EGFR), to which the original peptide sequence is known to bind, as well as the estrogen receptor (ERα) and peroxisome proliferator-activated receptor (PPARα) using both Autodock Vina and FireDock. Based on docking results, peptide conjugates and peptides were selected and subjected to molecular dynamics simulations. MMGBSA calculations were used to further probe the binding energies. ADME studies revealed that the compounds were not CYP substrates, though most were Pgp substrates. Additionally, most of the peptides and conjugates showed MDCK permeability. Our results indicated that several of the peptide conjugates enhanced binding interactions with the receptors and resulted in stable receptor-ligand complexes; Furthermore, they may successfully target ERα and PPARα in addition to EGFR and may be further explored for synthesis and biological studies for therapeutic applications.

scholarly journals Molecular Docking and Molecular Dynamics Studies on Selective Synthesis of α-Amyrin and β-Amyrin by Oxidosqualene Cyclases from Ilex Asprella

2019 ◽  
Vol 20 (14) ◽  
pp. 3469 ◽  
Author(s):  
Zhixue Wu ◽  
Hui Xu ◽  
Meiling Wang ◽  
Ruoting Zhan ◽  
Weiwen Chen ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Free Energy ◽  
Molecular Docking ◽  
Binding Affinity ◽  
Protein Structures ◽  
Free Energy Calculations ◽  
Selective Synthesis ◽  
Total Production ◽  
Oxidosqualene Cyclases ◽  
Free Energy Decomposition

Amyrins are the immediate precursors of many pharmaceutically important pentacyclic triterpenoids. Although various amyrin synthases have been identified, little is known about the relationship between protein structures and the constituent and content of the products. IaAS1 and IaAS2 identified from Ilex asprella in our previous work belong to multifunctional oxidosqualene cyclases and can produce α-amyrin and β-amyrin at different ratios. More than 80% of total production of IaAS1 is α-amyrin; while IaAS2 mainly produces β-amyrin with a yield of 95%. Here, we present a molecular modeling approach to explore the underlying mechanism for selective synthesis. The structures of IaAS1 and IaAS2 were constructed by homology modeling, and were evaluated by Ramachandran Plot and Verify 3D program. The enzyme-product conformations generated by molecular docking indicated that ASP484 residue plays an important role in the catalytic process; and TRP611 residue of IaAS2 had interaction with β-amyrin through π–σ interaction. MM/GBSA binding free energy calculations and free energy decomposition after 50 ns molecular dynamics simulations were performed. The binding affinity between the main product and corresponding enzyme was higher than that of the by-product. Conserved amino acid residues such as TRP257; TYR259; PHE47; TRP534; TRP612; and TYR728 for IaAS1 (TRP257; TYR259; PHE473; TRP533; TRP611; and TYR727 for IaAS2) had strong interactions with both products. GLN450 and LYS372 had negative contribution to binding affinity between α-amyrin or β-amyrin and IaAS1. LYS372 and ARG261 had strong repulsive effects for the binding of α-amyrin with IaAS2. The importance of Lys372 and TRP612 of IaAS1, and Lys372 and TRP611 of IaAS2, for synthesizing amyrins were confirmed by site-directed mutagenesis. The different patterns of residue–product interactions is the cause for the difference in the yields of two products.

scholarly journals Remdesivir Strongly Binds to both RNA-dependent RNA Polymerase and Main Protease of SARS-CoV-2: Evidence from Molecular Simulations

2020 ◽  
Author(s):  
Hoang Linh Nguyen ◽  
Thai Nguyen ◽  
Duc Toan Truong ◽  
Mai Suan Li
Keyword(s):  
Molecular Dynamics ◽  
Molecular Docking ◽  
Rna Polymerase ◽  
Binding Affinity ◽  
Recent Experiment ◽  
Umbrella Sampling ◽  
Rna Dependent Rna Polymerase ◽  
Main Protease ◽  
The World ◽  
Binding Mechanisms

The outbreak of a new coronavirus SARS-CoV-2 (severe acute respiratory syndrome–<br>coronavirus 2) has caused a global CoVid-19 (coronavirus disease 2019) pandemic, resulting in millions of infections and thousands of deaths around the world. There is currently no drug or vaccine for CoVid-19, but it has been revealed that some commercially available drugs are promising, at least for treating symptoms. Among them, Remdesivir, which can block the activity of RNA-dependent RNA polymerase (RdRp) in old SARS-CoV and MERS-CoV viruses, has been prescribed to CoVid-19 patients in many countries. A recent experiment showed that Remdesivir binds to SARS-CoV-2 with an inhibition constant of μM, but the exact target has not been reported. In this work, combining molecular docking, steered molecular dynamics and umbrella sampling we examined its binding affinity to two targets including the main protease (Mpro), also known as 3C-like protease, and RdRp. We showed that Remdesivir binds to Mpro slightly weaker than to RdRp and the corresponding inhibition constants, consistent with the experiment, fall to the μM range. The binding mechanisms of<br>Remdesivir to two targets differ in that electrostatic interaction is the main force in stabilizing the RdRp-Remdesivir complex, while the van der Waals interaction dominates in the MproRemdesivir case. Our result indicates that Remdesivir can target not only RdRp but also Mpro, which can be invoked to explain why this drug is effective in treating Covid-19. We have identified residues of the target protein that make the most important contribution to binding affinity, and this information is useful for drug development for this disease. <br>

scholarly journals Remdesivir Strongly Binds to both RNA-dependent RNA Polymerase and Main Protease of SARS-CoV-2: Evidence from Molecular Simulations

2020 ◽  
Author(s):  
Hoang Linh Nguyen ◽  
Thai Nguyen ◽  
Duc Toan Truong ◽  
Mai Suan Li
Keyword(s):  
Molecular Dynamics ◽  
Molecular Docking ◽  
Rna Polymerase ◽  
Binding Affinity ◽  
Recent Experiment ◽  
Umbrella Sampling ◽  
Rna Dependent Rna Polymerase ◽  
Main Protease ◽  
The World ◽  
Binding Mechanisms

The outbreak of a new coronavirus SARS-CoV-2 (severe acute respiratory syndrome–<br>coronavirus 2) has caused a global CoVid-19 (coronavirus disease 2019) pandemic, resulting in millions of infections and thousands of deaths around the world. There is currently no drug or vaccine for CoVid-19, but it has been revealed that some commercially available drugs are promising, at least for treating symptoms. Among them, Remdesivir, which can block the activity of RNA-dependent RNA polymerase (RdRp) in old SARS-CoV and MERS-CoV viruses, has been prescribed to CoVid-19 patients in many countries. A recent experiment showed that Remdesivir binds to SARS-CoV-2 with an inhibition constant of μM, but the exact target has not been reported. In this work, combining molecular docking, steered molecular dynamics and umbrella sampling we examined its binding affinity to two targets including the main protease (Mpro), also known as 3C-like protease, and RdRp. We showed that Remdesivir binds to Mpro slightly weaker than to RdRp and the corresponding inhibition constants, consistent with the experiment, fall to the μM range. The binding mechanisms of<br>Remdesivir to two targets differ in that electrostatic interaction is the main force in stabilizing the RdRp-Remdesivir complex, while the van der Waals interaction dominates in the MproRemdesivir case. Our result indicates that Remdesivir can target not only RdRp but also Mpro, which can be invoked to explain why this drug is effective in treating Covid-19. We have identified residues of the target protein that make the most important contribution to binding affinity, and this information is useful for drug development for this disease. <br>

scholarly journals MOLECULAR DYNAMIC SIMULATION OF ASIATIC ACID DERIVATIVES COMPLEX WITH INDUCIBLE NITRIC OXIDE SYNTHASE ENZYME AS AN ANTI-INFLAMMATORY

2021 ◽  
pp. 32-38
Author(s):  
IDA MUSFIROH ◽  
HANIFAHZIN KHATAMI ◽  
SANDRA MEGANTARA ◽  
MUCHTARIDI MUCHTARIDI
Keyword(s):  
Nitric Oxide ◽  
Molecular Dynamics ◽  
Molecular Docking ◽  
Nitric Oxide Synthase ◽  
Binding Affinity ◽  
Inducible Nitric Oxide Synthase ◽  
Asiatic Acid ◽  
Anti Inflammatory ◽  
Oxide Synthase ◽  
Inducible Nitric Oxide

Objective: The aim of this study was to determine the stability interaction of asiatic acid derivatives (AA) complex with inducible nitric oxide synthase (iNOS) enzyme as an anti-inflammatory using Molecular Dynamic (MD) simulation. Methods: The methods were consisting of validation of molecular docking, molecular docking to calculate binding affinity within the complex between the compounds and iNOS enzyme by using MMGBSA (Molecular Mechanics/Generalized Born Surface Area), and MD system preparation, MD production as well as MD analysis using AMBER18. Results: The result of validation and molecular docking were AA5 has the most negative Gibbs energy that is -9.17 kcal/mol, which has better binding affinity than other derivatives than other derivatives. The molecular dynamics simulation of the modified structure of asiatic acid showed that binding energy value and RMSD of AA5, AA6 and AA9 have a lower value compared to arginine as a substrate of iNOS enzyme. Molecular Dynamics that have been occurred to the best three compounds chosen shown good result in terms of stability after 100 ns length simulation. And the lowest binding affinity has been achieved by a compound called AA5. Out of all ligands that have been simulated shown that their binding affinity was lower than AA5 that reached-44.6753 kcal/mol. Conclusion: This studies conclude that AA5 considerably more potential as a selective inhibitor of iNOS enzyme as an anti-inflammatory.

scholarly journals Discovery of potential epigenetic inhibitors against histone methyltransferases through molecular docking and molecular dynamics simulations

2020 ◽  
Author(s):  
Tirumalasetty Muni Chandra Babu ◽  
Zaiping Zhang ◽  
Danian Qin ◽  
Chengyang Huang
Keyword(s):  
Gene Expression ◽  
Molecular Dynamics ◽  
Molecular Docking ◽  
Molecular Dynamics Simulations ◽  
Cell Fate ◽  
Binding Affinity ◽  
Binding Affinities ◽  
Histone Methyltransferases ◽  
Preferential Binding ◽  
Dynamics Simulations

AbstractHistone methyltransferases (HMTases) catalyze histone methylations that are the important epigenetic marks regulating gene expression, cell fate, and disease progression. In this study, we investigated potential epigenetic inhibitors against HMTases through in silico approaches, including ensembled molecular docking and molecular dynamics simulations (MDS).We identified three candidate compounds, including echinomycin, emetine, and streptonigrin, which showed interactions with HMTases. Echinomycin showed similar binding affinity with H3K4-HMTase NSD3 and H3K9-HMTase SETDB1 but streptonigrin and emetine had preferential binding affinity with NSD3 and SETDB1, respectively. The binding of NSD3 to streptonigrin and echinomycin and binding of SETDB1 to emetine and echinomycin were further confirmed by the results of hydrogen bonding profile and MM/PBSA calculations. Together, our results uncover the binding affinities of echinomycin, emetine, and streptonigrin with histone methyltransferases, and suggest that these compounds are potential epigenetic inhibitors regulating cell activities.

scholarly journals DFT Calculation, Molecular Docking and Molecular Dynamics Simulation Study on Substituted Phenylacetamide and Benzohydrazide Derivatives

2021 ◽  
Author(s):  
Vidyasrilekha Yele ◽  
Dilep Kumar Sigalapalli ◽  
Srikanth Jupudi ◽  
Mohammed Afzal Azam
Keyword(s):  
Molecular Dynamics ◽  
Free Energy ◽  
Molecular Docking ◽  
Binding Affinity ◽  
Binding Free Energy ◽  
Free Energy Calculations ◽  
Dynamics Simulation ◽  
Molecular Surface ◽  
Basis Set ◽  
Nucleophilic Attack

Abstract The atomic and molecular properties of the title compounds were calculated by Jaguar using a basis set B3LYP/6-31G**++ with hybrid DFT in the gas phase, to determine the chemical reactivity. Analysis of Quantum chemical features such as HOMO and LUMO explained that the electronic charge transfer occurred within the system through conjugated paths of the selected compounds. The nucleophilic and electrophilic reactive sites are recognized from the molecular electrostatic potential plot. Electrophilic and nucleophilic attack-prone molecular sites were predicted by mapping ALIE and ALEA values to the molecular surface. The bond dissociation energy of the high active compound 15 (2-chloro-N-(2-(2-(2-(2-chlorobenzoyl)hydrazineyl)-2-oxoethoxy)phenyl)acetamide) was calculated to assess the probability of compounds autoxidation or degradation. Further, molecular docking, binding free energy calculations, and ADMET profile of the degradation products (DPs) of compound 15 was carried out to determine the binding affinity and toxicity profile of the formed DPs compared with the parent compound. A 150 ns molecular dynamics (MD) simulation was performed to evaluate the binding stability of the compound 15/4URL complex using Desmond. Binding free energy and binding affinity of the complex were computed for 100 trajectory frames using the MM-GBSA approach.

Sign in / Sign up

Export Citation Format

Share Document