scholarly journals Design of a New α-1-C-Alkyl-DAB Derivative Acting as a Pharmacological Chaperone for β-Glucocerebrosidase Using Ligand Docking and Molecular Dynamics Simulation

Molecules ◽  
2018 ◽  
Vol 23 (10) ◽  
pp. 2683 ◽  
Author(s):  
Izumi Nakagome ◽  
Atsushi Kato ◽  
Noriyuki Yamaotsu ◽  
Tomoki Yoshida ◽  
Shin-ichiro Ozawa ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Binding Site ◽  
Binding Affinity ◽  
Gaucher Disease ◽  
Point Mutations ◽  
Dynamics Simulation ◽  
Ligand Docking ◽  
Pharmacological Chaperone ◽  
Pharmacological Chaperones ◽  
Dynamics Simulations

Some point mutations in β-glucocerebrosidase cause either improper folding or instability of this protein, resulting in Gaucher disease. Pharmacological chaperones bind to the mutant enzyme and stabilize this enzyme; thus, pharmacological chaperone therapy was proposed as a potential treatment for Gaucher disease. The binding affinities of α-1-C-alkyl 1,4-dideoxy-1,4-imino-d-arabinitol (DAB) derivatives, which act as pharmacological chaperones for β-glucocerebrosidase, abruptly increased upon elongation of their alkyl chain. In this study, the primary causes of such an increase in binding affinity were analyzed using protein–ligand docking and molecular dynamics simulations. We found that the activity cliff between α-1-C-heptyl-DAB and α-1-C-octyl-DAB was due to the shape and size of the hydrophobic binding site accommodating the alkyl chains, and that the interaction with this hydrophobic site controlled the binding affinity of the ligands well. Furthermore, based on the aromatic/hydrophobic properties of the binding site, a 7-(tetralin-2-yl)-heptyl-DAB compound was designed and synthesized. This compound had significantly enhanced activity. The design strategy in consideration of aromatic interactions in the hydrophobic pocket was useful for generating effective pharmacological chaperones for the treatment of Gaucher disease.

scholarly journals Molecular Dynamics Simulations for Biological Systems

2017 ◽  
pp. 1044-1071 ◽  
Author(s):  
Prerna Priya ◽  
Minu Kesheri ◽  
Rajeshwar P. Sinha ◽  
Swarna Kanchan
Keyword(s):  
Molecular Dynamics ◽  
Molecular Dynamics Simulation ◽  
Molecular Dynamics Simulations ◽  
Structure Prediction ◽  
Tertiary Structure ◽  
Biological Molecules ◽  
Dynamics Simulation ◽  
Ligand Docking ◽  
Protein Protein Interaction ◽  
Dynamics Simulations

Molecular dynamics simulation is an important tool to capture the dynamicity of biological molecule and the atomistic insights. These insights are helpful to explore biological functions. Molecular dynamics simulation from femto seconds to milli seconds scale give a large ensemble of conformations that can reveal many biological mysteries. The main focus of the chapter is to throw light on theories, requirement of molecular dynamics for biological studies and application of molecular dynamics simulations. Molecular dynamics simulations are widely used to study protein-protein interaction, protein-ligand docking, effects of mutation on interactions, protein folding and flexibility of the biological molecules. This chapter also deals with various methods/algorithms of protein tertiary structure prediction, their strengths and weaknesses.

scholarly journals Identification of CDK7 Inhibitors from Natural Sources Using Pharmacoinformatics and Molecular Dynamics Simulations

Biomedicines ◽  
2021 ◽  
Vol 9 (9) ◽  
pp. 1197
Author(s):  
Vikas Kumar ◽  
Shraddha Parate ◽  
Gunjan Thakur ◽  
Gihwan Lee ◽  
Hyeon-Su Ro ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Molecular Dynamics Simulations ◽  
Binding Affinity ◽  
Cost Effective ◽  
Binding Mode ◽  
Kinase Domain ◽  
Dynamics Simulation ◽  
Mode Analysis ◽  
Atp Binding Site ◽  
Dynamics Simulations

The cyclin-dependent kinase 7 (CDK7) plays a crucial role in regulating the cell cycle and RNA polymerase-based transcription. Overexpression of this kinase is linked with various cancers in humans due to its dual involvement in cell development. Furthermore, emerging evidence has revealed that inhibiting CDK7 has anti-cancer effects, driving the development of novel and more cost-effective inhibitors with enhanced selectivity for CDK7 over other CDKs. In the present investigation, a pharmacophore-based approach was utilized to identify potential hit compounds against CDK7. The generated pharmacophore models were validated and used as 3D queries to screen 55,578 natural drug-like compounds. The obtained compounds were then subjected to molecular docking and molecular dynamics simulations to predict their binding mode with CDK7. The molecular dynamics simulation trajectories were subsequently used to calculate binding affinity, revealing four hits—ZINC20392430, SN00112175, SN00004718, and SN00262261—having a better binding affinity towards CDK7 than the reference inhibitors (CT7001 and THZ1). The binding mode analysis displayed hydrogen bond interactions with the hinge region residues Met94 and Glu95, DFG motif residue Asp155, ATP-binding site residues Thr96, Asp97, and Gln141, and quintessential residue outside the kinase domain, Cys312 of CDK7. The in silico selectivity of the hits was further checked by docking with CDK2, the close homolog structure of CDK7. Additionally, the detailed pharmacokinetic properties were predicted, revealing that our hits have better properties than established CDK7 inhibitors CT7001 and THZ1. Hence, we argue that proposed hits may be crucial against CDK7-related malignancies.

Molecular Dynamics Simulations for Biological Systems

2016 ◽  
pp. 286-313 ◽  
Author(s):  
Prerna Priya ◽  
Minu Kesheri ◽  
Rajeshwar P. Sinha ◽  
Swarna Kanchan
Keyword(s):  
Molecular Dynamics ◽  
Molecular Dynamics Simulation ◽  
Molecular Dynamics Simulations ◽  
Structure Prediction ◽  
Tertiary Structure ◽  
Biological Molecules ◽  
Dynamics Simulation ◽  
Ligand Docking ◽  
Protein Protein Interaction ◽  
Dynamics Simulations

Molecular dynamics simulation is an important tool to capture the dynamicity of biological molecule and the atomistic insights. These insights are helpful to explore biological functions. Molecular dynamics simulation from femto seconds to milli seconds scale give a large ensemble of conformations that can reveal many biological mysteries. The main focus of the chapter is to throw light on theories, requirement of molecular dynamics for biological studies and application of molecular dynamics simulations. Molecular dynamics simulations are widely used to study protein-protein interaction, protein-ligand docking, effects of mutation on interactions, protein folding and flexibility of the biological molecules. This chapter also deals with various methods/algorithms of protein tertiary structure prediction, their strengths and weaknesses.

scholarly journals The impact of curcumin derived polyphenols on the structure and flexibility COVID-19 main protease binding pocket: a molecular dynamics simulation study

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e11590
Author(s):  
Aweke Mulu ◽  
Mulugeta Gajaa ◽  
Haregewoin Bezu Woldekidan ◽  
Jerusalem Fekadu W/mariam
Keyword(s):  
Molecular Dynamics ◽  
Binding Affinity ◽  
Binding Pocket ◽  
Dynamics Simulation ◽  
World Health ◽  
Main Protease ◽  
Health Organization ◽  
Dynamics Simulations ◽  
Simulation Parameters ◽  
The Impact

The newly occurred SARS-CoV-2 caused a leading pandemic of coronavirus disease (COVID-19). Up to now it has infected more than one hundred sixty million and killed more than three million people according to 14 May 2021 World Health Organization report. So far, different types of studies have been conducted to develop an anti-viral drug for COVID-19 with no success yet. As part of this, silico were studied to discover and introduce COVID-19 antiviral drugs and results showed that protease inhibitors could be very effective in controlling. This study aims to investigate the binding affinity of three curcumin derived polyphenols against COVID-19 the main protease (Mpro), binding pocket, and identification of important residues for interaction. In this study, molecular modeling, auto-dock coupled with molecular dynamics simulations were performed to analyze the conformational, and stability of COVID-19 binding pocket with diferuloylmethane, demethoxycurcumin, and bisdemethoxycurcumin. All three compounds have shown binding affinity −39, −89 and −169.7, respectively. Demethoxycurcumin and bisdemethoxycurcumin showed an optimum binding affinity with target molecule and these could be one of potential ligands for COVID-19 therapy. And also, COVID-19 main protease binding pocket binds with the interface region by one hydrogen bond. Moreover, the MD simulation parameters indicated that demethoxycurcumin and bisdemethoxycurcumin were stable during the simulation run. These findings can be used as a baseline to develop therapeutics with curcumin derived polyphenols against COVID-19.

scholarly journals Computational Study on Novel Natural Inhibitors Targeting c-MET

2021 ◽  
Author(s):  
Junliang Ge ◽  
Bo Wu ◽  
Wenzhuo Yang ◽  
Sheng Zhong ◽  
Yuanyuan Hou ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Binding Affinity ◽  
Computational Study ◽  
Developmental Toxicity ◽  
Inhibitory Effect ◽  
Dynamics Simulation ◽  
Drug Candidates ◽  
Zinc Database ◽  
The Stability ◽  
Dynamics Simulations

Abstract Object This study was designed to select ideal lead compounds and preclinical drug candidates with inhibitory effect on c-MET from the drug library (ZINC database).Methods A battery of computer-aided virtual techniques were used to identify possible inhibitors of c-MET. LibDock is applied for structure-based screening followed by ADME (absorption, distribution, metabolic, excretion) and toxicity prediction. Molecular docking was conducted to confirm the binding affinity mechanism between the ligand and c-MET Molecular dynamics simulations were used to assess the stability of ligand-c-MET complexes.Results Two new natural compounds ZINC000005879645 and ZINC000002528509 were found to bind to c-MET in ZINC database, showing higher binding affinity. In addition, they were predicted to have lower rodent carcinogenicity, Ames mutagenicity, developmental toxicity potential, and high tolerance to cytochrome P4502D6. Molecular dynamics simulation shows that ZINC000005879645 and ZINC000002528509 have more favorable potential energies with c-MET, which could exist stably in the natural environment.Conclusion This study suggests that ZINC000005879645 and ZINC000002528509 are ideal latent inhibitors of c-MET targeting. As drug candidates, these two compounds have great security and important implications for the design and improvement of c-MET target drugs.

scholarly journals Proposition of a new allosteric binding site for potential SARS-CoV-2 3CL protease inhibitors by utilizing molecular dynamics simulations and ensemble docking

2020 ◽  
Author(s):  
Jurica Novak ◽  
Hrvoje Rimac ◽  
Shivananda Kandagalla ◽  
Prateek Pathak ◽  
Maria Grishina ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Binding Site ◽  
Dynamics Simulation ◽  
Structural Proteins ◽  
Crystallographic Structure ◽  
Ensemble Docking ◽  
Covalent Inhibitors ◽  
Dynamics Simulations ◽  
3Cl Protease ◽  
Drugbank Database

Abstract The SARS-CoV-2 3CL protease shows a high similarity with 3CL proteases of other beta-coronaviruses, such as SARS and MERS. It is the main enzyme involved in generating various non-structural proteins that are important for viral replication and is one of the most important proteins responsible for SARS-CoV-2 virulence. In this study, we have conducted ensemble docking of molecules from the DrugBank database using both crystallographic structure of the SARS-CoV-2 3CLpro, as well as five conformations obtained after performing a cluster analysis of a 300 ns molecular dynamics simulation. This procedure elucidated the inappropriateness of the active site for non-covalent inhibitors, but it has also shown that there exists an additional, more favorable, allosteric binding site, which could be a better target for non-covalent inhibitors, as it could prevent dimerization and activation of SARS-CoV-2 3CLpro.

Protein–carbohydrate complexes: Binding site analysis, prediction, binding affinity and molecular dynamics simulations

2020 ◽  
pp. 299-332 ◽  
Author(s):  
K. Veluraja ◽  
N. R. Siva Shanmugam ◽  
J. Jino Blessy ◽  
R. A. Jeyaram ◽  
B. Lalithamaheswari ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Molecular Dynamics Simulations ◽  
Binding Site ◽  
Binding Affinity ◽  
Site Analysis ◽  
Dynamics Simulations ◽  
Analysis Prediction

scholarly journals Novel Inhibitors of the Main Protease of SARS-CoV-2 Identified via a Molecular Dynamics Simulation-Guided in Vitro Assay

2020 ◽  
Author(s):  
Jennifer Loschwitz ◽  
Anna Jäckering ◽  
Monika Keutmann ◽  
Maryam Olagunju ◽  
Raphael J. Eberle ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Binding Site ◽  
Drug Repurposing ◽  
Dynamics Simulation ◽  
Significant Activity ◽  
Vitro Assay ◽  
Protease Enzyme ◽  
Main Protease ◽  
Dynamics Simulations

<div>For the COVID-19 pandemic caused by SARS-CoV-2, there are currently no effective drugs or vaccines to treat this coronavirus infection. In this study, we focus on the main protease enzyme of SARS-CoV-2, 3CL pro , which is critical for viral replication. We employ explicit solvent molecular dynamics simulations of about 150 compounds docked into 3CL pro ’s binding site and that had emerged as good main protease ligands from our previous in silico screening of over 1.2 million compounds. By incoporating protein dynamics and applying a range of structural descriptors, such as the ability to form specific contacts with the catalytic dyad residues of 3CL pro and the structural fluctuations of the ligands in the binding site, we are able to further refine our compound selection. Fourteen compounds including estradiol shown to be the most promising based on our calculations were procured and screened against recombinant 3CL pro in a fluorescence assay. Eight of these compounds have significant activity in inhibiting the SARS-CoV-2 main protease. Among these are corilagin, a gallotannin, and lurasidone, an antipsychotic drug, which emerged as the most promising natural product and drug, respectively, and might thus be candidates for drug repurposing for the treatment of COVID-19. In addition, we also tested the inhibitory activity of testosterone, and our results reveal testosterone as possessing moderate inhibitory potency against the 3CL pro enzyme, which may thus provide an explanation why older men are more severely affected by COVID-19.</div>

scholarly journals Prediction of Ciclesonide Binding Site on Middle-East Respiratory Syndrome Coronavirus Nsp15 Multimer by Molecular Dynamics Simulations

2021 ◽  
Author(s):  
Shun Sakuraba ◽  
Hidetoshi Kono
Keyword(s):  
Molecular Dynamics ◽  
Molecular Dynamics Simulation ◽  
Middle East ◽  
Molecular Dynamics Simulations ◽  
Binding Site ◽  
Molecular Mechanism ◽  
Middle East Respiratory Syndrome ◽  
Dynamics Simulation ◽  
Dynamics Simulations

Ciclesonide, a corticosteroid, was known to inhibit the growth of Middle-east respiratory syndrome (MERS) coronavirus. However, its molecular mechanism was unknown. We tried to uncover the molecular mechanism from the molecular dynamics simulation.<div>SARS_CoV_2_nsp15.pdf: The preprint document.</div><div>nsp15-mers-supp.zip: Supplemental data including binding poses and parameter files for the simulation.</div>

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