scholarly journals Computational Analysis for Physicochemical Properties of Compounds in Senna auriculata Leaves Methanolic Extract to have Antidiabetic Potentials and their Molecular Interaction with α-amylase

2021 ◽  
pp. 30-42
Author(s):  
Abdulaziz Bin Dukhyil
Keyword(s):  
Molecular Docking ◽  
Physicochemical Properties ◽  
Methanolic Extract ◽  
Natural Compounds ◽  
Physicochemical Analysis ◽  
Dynamics Simulation ◽  
Carbohydrate Hydrolysis ◽  
Catalytic Active Site ◽  
Inhibitory Potential

Aims: Diabetes mellitus (DM) is chronic disorder well known for increased glucose level in blood. This disease can be controlled by inhibiting the enzyme (e.g., α-amylase) involve in carbohydrate hydrolysis. Senna auriculata leaves methanolic extract (SALME) have potential antidiabetic properties and it was also found to be safe in preclinical studies. In this study the aim was to explore the molecular interactions of α-amylase and bioactive compounds in SALME and their physicochemical properties. Methodology: Computational approach such as molecular docking and physicochemical analysis prediction was applied to understand the antidiabetic potential of natural compounds present in SALME. Results: The results showed from physicochemical analysis that out of 11 only 7 compounds are having drug like properties which are orally and intestinally better bioavailable. Furthermore, molecular docking analysis explained that three compounds (C3, C4, and C7) have lower binding energy, ΔG (-8, -9.1, -9.5 kcal/mol) and better binding affinity, Ki (7.31 x 105, 4.68 x 106, and 9.2 x 106 M-1, respectively) than the acarbose ΔG (-7.8 kcal/mol) and Ki (6.18 x 105 M-1), a well-known FDA approved medication for DM. The study also explained the binding pattern that the catalytic residue such as Asp197, Glu233 and Asp300 are involved in stabilizing the natural compounds with in the catalytic active site of target enzyme. Conclusions: From the results it has been concluded that these three compounds found in SALME have better inhibitory potential for α-amylase in comparison with acarbose. Further validation of the findings is required through molecular dynamics simulation, ADME-T study, and in-vitro enzyme inhibition by the purified compounds.

scholarly journals An Analysis Based on Molecular Docking and Molecular Dynamics Simulation Study of Bromelain as Anti-SARS-CoV-2 Variants

2021 ◽  
Vol 12 ◽  
Author(s):  
Trina Ekawati Tallei ◽  
Fatimawali ◽  
Afriza Yelnetty ◽  
Rinaldi Idroes ◽  
Diah Kusumawaty ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Molecular Docking ◽  
Molecular Dynamics Simulation ◽  
Three Dimensional ◽  
Md Simulations ◽  
Inhibitory Effect ◽  
Dynamics Simulation ◽  
Novel Coronavirus

The rapid spread of a novel coronavirus known as SARS-CoV-2 has compelled the entire world to seek ways to weaken this virus, prevent its spread and also eliminate it. However, no drug has been approved to treat COVID-19. Furthermore, the receptor-binding domain (RBD) on this viral spike protein, as well as several other important parts of this virus, have recently undergone mutations, resulting in new virus variants. While no treatment is currently available, a naturally derived molecule with known antiviral properties could be used as a potential treatment. Bromelain is an enzyme found in the fruit and stem of pineapples. This substance has been shown to have a broad antiviral activity. In this article, we analyse the ability of bromelain to counteract various variants of the SARS-CoV-2 by targeting bromelain binding on the side of this viral interaction with human angiotensin-converting enzyme 2 (hACE2) using molecular docking and molecular dynamics simulation approaches. We have succeeded in making three-dimensional configurations of various RBD variants using protein modelling. Bromelain exhibited good binding affinity toward various variants of RBDs and binds right at the binding site between RBDs and hACE2. This result is also presented in the modelling between Bromelain, RBD, and hACE2. The molecular dynamics (MD) simulations study revealed significant stability of the bromelain and RBD proteins separately up to 100 ns with an RMSD value of 2 Å. Furthermore, despite increases in RMSD and changes in Rog values of complexes, which are likely due to some destabilized interactions between bromelain and RBD proteins, two proteins in each complex remained bonded, and the site where the two proteins bind remained unchanged. This finding indicated that bromelain could have an inhibitory effect on different SARS-CoV-2 variants, paving the way for a new SARS-CoV-2 inhibitor drug. However, more in vitro and in vivo research on this potential mechanism of action is required.

scholarly journals Discovery of New Selective Butyrylcholinesterase (BChE) Inhibitors with Anti-Aβ Aggregation Activity: Structure-Based Virtual Screening, Hit Optimization and Biological Evaluation

Molecules ◽  
2019 ◽  
Vol 24 (14) ◽  
pp. 2568 ◽  
Author(s):  
Cheng-Shi Jiang ◽  
Yong-Xi Ge ◽  
Zhi-Qiang Cheng ◽  
Yin-Yin Wang ◽  
Hong-Rui Tao ◽  
...  
Keyword(s):  
Virtual Screening ◽  
Cell Model ◽  
Neuroblastoma Cells ◽  
Biological Evaluation ◽  
Dynamics Simulation ◽  
Dependent Manner ◽  
Binding Modes ◽  
Catalytic Active Site ◽  
Aggregation Activity

In this study, a series of selective butyrylcholinesterase (BChE) inhibitors was designed and synthesized from the structural optimization of hit 1, a 4-((3,4-dihydroisoquinolin-2(1H)-yl)methyl)benzoic acid derivative identified by virtual screening our compound library. The in vitro enzyme assay results showed that compounds 9 ((4-((3,4-dihydroisoquinolin-2(1H)-yl)methyl)phenyl)(pyrrolidin-1-yl)methanone) and 23 (N-(2-bromophenyl)-4-((3,4-dihydroisoquinolin-2(1H)-yl)methyl)benzamide) displayed improved BChE inhibitory activity and good selectivity towards BChE versus AChE. Their binding modes were probed by molecular docking and further validated by molecular dynamics simulation. Kinetic analysis together with molecular modeling studies suggested that these derivatives could target both the catalytic active site (CAS) and peripheral anionic site (PAS) of BChE. In addition, the selected compounds 9 and 23 displayed anti-Aβ1–42 aggregation activity in a dose-dependent manner, and they did not show obvious cytotoxicity towards SH-SY5Y neuroblastoma cells. Also, both compounds showed significantly protective activity against Aβ1-42-induced toxicity in a SH-SY5Y cell model. The present results provided a new valuable chemical template for the development of selective BChE inhibitors.

scholarly journals Exploring Aurone Derivatives as Potential Human Pancreatic Lipase Inhibitors through Molecular Docking and Molecular Dynamics Simulations

Molecules ◽  
2020 ◽  
Vol 25 (20) ◽  
pp. 4657
Author(s):  
Phuong Thuy Viet Nguyen ◽  
Han Ai Huynh ◽  
Dat Van Truong ◽  
Thanh-Dao Tran ◽  
Cam-Van Thi Vo
Keyword(s):  
Molecular Dynamics ◽  
Molecular Dynamics Simulations ◽  
Pancreatic Lipase ◽  
Inhibitory Activity ◽  
Dynamics Simulation ◽  
Stable Complex ◽  
Catalytic Active Site ◽  
Dynamics Simulations

Inhibition of human pancreatic lipase, a crucial enzyme in dietary fat digestion and absorption, is a potent therapeutic approach for obesity treatment. In this study, human pancreatic lipase inhibitory activity of aurone derivatives was explored by molecular modeling approaches. The target protein was human pancreatic lipase (PDB ID: 1LPB). The 3D structures of 82 published bioactive aurone derivatives were docked successfully into the protein catalytic active site, using AutoDock Vina 1.5.7.rc1. Of them, 62 compounds interacted with the key residues of catalytic trial Ser152-Asp176-His263. The top hit compound (A14), with a docking score of −10.6 kcal⋅mol−1, was subsequently submitted to molecular dynamics simulations, using GROMACS 2018.01. Molecular dynamics simulation results showed that A14 formed a stable complex with 1LPB protein via hydrogen bonds with important residues in regulating enzyme activity (Ser152 and Phe77). Compound A14 showed high potency for further studies, such as the synthesis, in vitro and in vivo tests for pancreatic lipase inhibitory activity.

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

Molecules ◽  
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.

scholarly journals In silico identification of novel chemical compounds with anti-TB potential for the inhibition of InhA and EthR from Mycobacterium tuberculosis

2020 ◽  
Author(s):  
Sajal Kumar Halder ◽  
Fatiha Elma
Keyword(s):  
Molecular Dynamics ◽  
Mycobacterium Tuberculosis ◽  
Molecular Docking ◽  
Molecular Dynamics Simulation ◽  
Chemical Compounds ◽  
Dynamics Simulation ◽  
Health Concern ◽  
Radius Of Gyration

ABSTRACTTuberculosis (TB) continuously pose a major public health concern around the globe, with a mounting death toll of approximately 1.4 million in 2019. The reduced bioavailability, increased toxicity and resistance of several first-line and second-line anti-TB drugs such as isoniazid, ethionamide have necessitated the search for new medications. In this research, we have identified several novel chemical compounds with anti-TB properties using various computational tools like molecular docking analysis, drug-likeness evaluation, ADMET profiling, P450 site of metabolism prediction and molecular dynamics simulation study. This study involves fifty drug-like compounds with antibacterial activity that inhibit InhA and EthR involved in the synthesis of one of the major lipid components, mycolic acid, which is crucial for the viability of Mycobacterium tuberculosis. Among these fifty compounds, 3-[3-(4-Fluorophenyl)-1,2,4-oxadiazol-5-yl]-N-(2-methylphenyl) piperidine-1-carboxamide (C22) and 5-(4-Ethyl-phenyl)-2-(1H-tetrazol-5-ylmethyl)-2H-tetrazole (C29) were found to pass the two-step molecular docking, P450 site of metabolism prediction and pharmacokinetics filtering analysis successfully. Their binding stability for target proteins have been evaluated through RMSD, RMSF, Radius of gyration analysis from 10 ns Molecular Dynamics Simulation (MDS) run. Our identified drugs could be a capable therapeutic for Tuberculosis drug discovery, having said that more in vitro and in vivo testing is required to justify their potential as novel drug and mode of action.

scholarly journals Molecular docking and 3D-QSAR on 16a,17a-cycloalkanoprogesterone analogues as progesterone receptor ligands

2013 ◽  
Vol 59 (6) ◽  
pp. 622-635 ◽  
Author(s):  
I.V. Fedyushkina ◽  
V.S. Skvortsov ◽  
I.V. Romero Reyes ◽  
I.S. Levina
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Molecular Docking ◽  
Progesterone Receptor ◽  
3D Qsar ◽  
Dynamics Simulation ◽  
Receptor Ligands ◽  
Artificial Neural ◽  
Derivatives Of

A series of 42 steroid ligands was used to predict a binding affinity to progesterone receptor. The molecules were the derivatives of 16a,17a-cycloalkanoprogesterones. Different methods of prediction were used and analyzed such as CoMFA and artificial neural networks. The best result (Q2=0.91) was obtained for a combination of molecular docking, molecular dynamics simulation and artificial neural networks. A predictive power of the model was validated by a group of 8 pentarans synthesized separately and tested in vitro (R2test=0.77). This model can be used to determine the affinity level of the ligand to progesterone receptor and accurate ranking of binding compounds.

Synthesis, in vitro urease inhibitory potential and molecular docking study of Benzimidazole analogues

2019 ◽  
Vol 89 ◽  
pp. 103024 ◽  
Author(s):  
Khalid Zaman ◽  
Fazal Rahim ◽  
Muhammad Taha ◽  
Hayat Ullah ◽  
Abdul Wadood ◽  
...  
Keyword(s):  
Molecular Docking ◽  
Docking Study ◽  
Molecular Docking Study ◽  
Inhibitory Potential ◽  
Urease Inhibitory
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