Binding of biguanides to β-lactoglobulin: molecular-docking and molecular dynamics simulation studies

2014 ◽  
Vol 68 (11) ◽  
Author(s):  
Mehdi Sahihi ◽  
Yousef Ghayeb
Keyword(s):  
Molecular Dynamics ◽  
Molecular Docking ◽  
Molecular Dynamics Simulation ◽  
Hydrophobic Interactions ◽  
Mean Value ◽  
Transport Protein ◽  
Dynamics Simulation ◽  
Radius Of Gyration ◽  
Accessible Surface ◽  
Β Lactoglobulin

AbstractBiguanides are a class of drugs derived from biguanide and they are the most widely used drugs for diabetes mellitus or pre-diabetes treatment. An investigation of their interaction and a transport protein such as β-lactoglobulin (BLG) at atomic level could be a valuable factor in controlling their transport to biological sites. Molecular-docking and molecular dynamics simulation methods were used to study the interaction of metformin, phenformin and buformin as biguanides and BLG as transport protein. The molecular-docking results revealed that these biguanides bind to BLG and that the BLG affinity for binding the biguanides decreases in the following order: phenformin — buformin — metformin. The docking results also show the hydrophobic interactions to have a significant role in the BLG-biguanides complex stability. Analysis of molecular dynamic simulation trajectories shows that the root mean square deviation of various systems attained equilibrium and fluctuated around the mean value at various times. The time evolution of the radius of gyration and the total solvent-accessible surface of the protein showed that BLG and BLG-biguanide complexes became stable at approximately 2500 ps and that there was not any conformational change in the BLG-biguanide complexes. In addition, the profiles of atomic fluctuations show the rigidity of the ligand-binding site during the simulation.

scholarly journals Phytochemicals from Leucas zeylanica Targeting Main Protease of SARS-CoV-2: Chemical Profiles, Molecular Docking, and Molecular Dynamics Simulations

Biology ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 789
Author(s):  
Mycal Dutta ◽  
Abu Montakim Tareq ◽  
Ahmed Rakib ◽  
Shafi Mahmud ◽  
Saad Ahmed Sami ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Molecular Docking ◽  
Molecular Dynamics Simulation ◽  
Surface Area ◽  
Dynamics Simulation ◽  
Solvent Accessible Surface Area ◽  
Gas Chromatography Mass Spectrometry ◽  
Radius Of Gyration ◽  
Hydrogen Bond Formation ◽  
Main Protease

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a contemporary coronavirus, has impacted global economic activity and has a high transmission rate. As a result of the virus’s severe medical effects, developing effective vaccinations is vital. Plant-derived metabolites have been discovered as potential SARS-CoV-2 inhibitors. The SARS-CoV-2 main protease (Mpro) is a target for therapeutic research because of its highly conserved protein sequence. Gas chromatography–mass spectrometry (GC-MS) and molecular docking were used to screen 34 compounds identified from Leucas zeylanica for potential inhibitory activity against the SARS-CoV-2 Mpro. In addition, prime molecular mechanics–generalized Born surface area (MM-GBSA) was used to screen the compound dataset using a molecular dynamics simulation. From molecular docking analysis, 26 compounds were capable of interaction with the SARS-CoV-2 Mpro, while three compounds, namely 11-oxa-dispiro[4.0.4.1]undecan-1-ol (−5.755 kcal/mol), azetidin-2-one 3,3-dimethyl-4-(1-aminoethyl) (−5.39 kcal/mol), and lorazepam, 2TMS derivative (−5.246 kcal/mol), exhibited the highest docking scores. These three ligands were assessed by MM-GBSA, which revealed that they bind with the necessary Mpro amino acids in the catalytic groove to cause protein inhibition, including Ser144, Cys145, and His41. The molecular dynamics simulation confirmed the complex rigidity and stability of the docked ligand–Mpro complexes based on the analysis of mean radical variations, root-mean-square fluctuations, solvent-accessible surface area, radius of gyration, and hydrogen bond formation. The study of the postmolecular dynamics confirmation also confirmed that lorazepam, 11-oxa-dispiro[4.0.4.1]undecan-1-ol, and azetidin-2-one-3, 3-dimethyl-4-(1-aminoethyl) interact with similar Mpro binding pockets. The results of our computerized drug design approach may assist in the fight against SARS-CoV-2.

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 The Potential role of Procyanidin as a Therapeutic Agent against SARS-CoV-2: A Text Mining, Molecular Docking and Molecular Dynamics Simulation Approach

2020 ◽  
Author(s):  
Nikhil Maroli ◽  
Balu Bhasuran ◽  
Jeyakumar Natarajan ◽  
Ponmalai Kolandaivel
Keyword(s):  
Molecular Dynamics ◽  
Molecular Docking ◽  
Molecular Dynamics Simulation ◽  
Text Mining ◽  
Hydrophobic Interactions ◽  
Interaction Network ◽  
Van Der Waals Interactions ◽  
Entity Recognition ◽  
Dynamics Simulation ◽  
Inhibition Mechanism

<p>A novel coronavirus (SARS-CoV-2) has caused a major outbreak in the human all over the world. There are several proteins interplay during the entry and replication of this virus in human. Here, we have used text mining andnamed entity recognition method to identify co-occurrence of the important COVID 19 genes/proteins in the interaction network based on the frequency of the interaction. Network analysis revealed a set of genes/proteins, highly dense genes/protein clusters and sub networks of Angiotensin converting enzyme 2 (ACE2), Helicase, spike (S) protein (trimeric), membrane (M) protein, envelop (E) protein, and the nucleocapsid (N) protein. The isolated proteins are screened against procyanidin-a flavonoid from plants using molecular docking. Further, molecular dynamics simulation of critical proteins such as ACE2, Mpro and spike proteins are performed to elucidate the inhibition mechanism. The strong network of hydrogen bonds and hydrophobic interactions along with van der Waals interactions inhibit receptors, which are essential to the entry and replication of the SARS-CoV-2. The binding energy calculated (ACE2=-50.21 ± 6.3, Mpro=-89.50 ± 6.32 and spike=-23.06 ± 4.39) through molecular mechanics poisson−boltzmann surface area also confirm the affinity of procyanidin towards the critical receptors.</p>

Exploring the effect of inhibitor AKB‐9778 on VE‐PTP by molecular docking and molecular dynamics simulation

2019 ◽  
Vol 120 (10) ◽  
pp. 17015-17029 ◽  
Author(s):  
Wen‐Shan Liu ◽  
Rui‐Rui Wang ◽  
Ying‐Zhan Sun ◽  
Wei‐Ya Li ◽  
Hong‐Lian Li ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Molecular Docking ◽  
Molecular Dynamics Simulation ◽  
Dynamics Simulation
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