Effective Computational Method for Evaluation of Dynamic Elecrostatic Effects of Explicit Solvent and Membrane Molecules from Molecular Dynamics Simulations

2011 ◽  
Author(s):  
Yasushige Yonezawa
Keyword(s):  
Molecular Dynamics ◽  
Molecular Dynamics Simulations ◽  
Computational Method ◽  
Explicit Solvent ◽  
Dynamics Simulations

Advancements in Docking and Molecular Dynamics Simulations Towards Ligand-receptor Interactions and Structure-function Relationships

2018 ◽  
Vol 18 (20) ◽  
pp. 1755-1768 ◽  
Author(s):  
Ahmad Abu Turab Naqvi ◽  
Taj Mohammad ◽  
Gulam Mustafa Hasan ◽  
Md. Imtaiyaz Hassan
Keyword(s):  
Molecular Dynamics ◽  
Molecular Docking ◽  
Drug Discovery ◽  
Molecular Dynamics Simulations ◽  
Computational Method ◽  
Dynamics Simulation ◽  
Ligand Molecule ◽  
Ligand Interaction ◽  
Modern Drug ◽  
Dynamics Simulations

Protein-ligand interaction is an imperative subject in structure-based drug design and protein function prediction process. Molecular docking is a computational method which predicts the binding of a ligand molecule to the particular receptor. It predicts the binding pose, strength and binding affinity of the molecules using various scoring functions. Molecular docking and molecular dynamics simulations are widely used in combination to predict the binding modes, binding affinities and stability of different protein-ligand systems. With advancements in algorithms and computational power, molecular dynamics simulation is now a fundamental tool to investigative bio-molecular assemblies at atomic level. These methods in association with experimental support have been of great value in modern drug discovery and development. Nowadays, it has become an increasingly significant method in drug discovery process. In this review, we focus on protein-ligand interactions using molecular docking, virtual screening and molecular dynamics simulations. Here, we cover an overview of the available methods for molecular docking and molecular dynamics simulations, and their advancement and applications in the area of modern drug discovery. The available docking software and their advancement including application examples of different approaches for drug discovery are also discussed. We have also introduced the physicochemical foundations of molecular docking and simulations, mainly from the perception of bio-molecular interactions.

Prediction of aqueous free energies of solvation using coupled QM and MM explicit solvent simulations

2020 ◽  
Vol 22 (15) ◽  
pp. 8021-8034
Author(s):  
Daniel Sadowsky ◽  
J. Samuel Arey
Keyword(s):  
Molecular Dynamics ◽  
Molecular Dynamics Simulations ◽  
Free Energies ◽  
Explicit Solvent ◽  
Dynamics Simulations ◽  
Ionic Solutes

A method based on molecular dynamics simulations which employ two distinct levels of theory is proposed and tested for the prediction of Gibbs free energies of solvation for non-ionic solutes in water.

scholarly journals Probing the Accuracy of Explicit Solvent Constant pH Molecular Dynamics Simulations for Peptides

2020 ◽  
Vol 16 (4) ◽  
pp. 2561-2569 ◽  
Author(s):  
Plamen Dobrev ◽  
Sahithya Phani Babu Vemulapalli ◽  
Nilamoni Nath ◽  
Christian Griesinger ◽  
Helmut Grubmüller
Keyword(s):  
Molecular Dynamics ◽  
Molecular Dynamics Simulations ◽  
Constant Ph ◽  
Explicit Solvent ◽  
Dynamics Simulations ◽  
Constant Ph Molecular Dynamics

scholarly journals Pyranose Ring Puckering Thermodynamics for Glycan Monosaccharides Associated with Vertebrate Proteins

2021 ◽  
Vol 23 (1) ◽  
pp. 473
Author(s):  
Olgun Guvench ◽  
Devon Martin ◽  
Megan Greene
Keyword(s):  
Molecular Dynamics ◽  
Force Field ◽  
Molecular Dynamics Simulations ◽  
Biomolecular Dynamics ◽  
Explicit Solvent ◽  
Conformational Properties ◽  
Adaptive Biasing ◽  
Charmm Force Field ◽  
Ring Puckering ◽  
Dynamics Simulations

The conformational properties of carbohydrates can contribute to protein structure directly through covalent conjugation in the cases of glycoproteins and proteoglycans and indirectly in the case of transmembrane proteins embedded in glycolipid-containing bilayers. However, there continue to be significant challenges associated with experimental structural biology of such carbohydrate-containing systems. All-atom explicit-solvent molecular dynamics simulations provide a direct atomic resolution view of biomolecular dynamics and thermodynamics, but the accuracy of the results depends on the quality of the force field parametrization used in the simulations. A key determinant of the conformational properties of carbohydrates is ring puckering. Here, we applied extended system adaptive biasing force (eABF) all-atom explicit-solvent molecular dynamics simulations to characterize the ring puckering thermodynamics of the ten common pyranose monosaccharides found in vertebrate biology (as represented by the CHARMM carbohydrate force field). The results, along with those for idose, demonstrate that the CHARMM force field reliably models ring puckering across this diverse set of molecules, including accurately capturing the subtle balance between 4C1 and 1C4 chair conformations in the cases of iduronate and of idose. This suggests the broad applicability of the force field for accurate modeling of carbohydrate-containing vertebrate biomolecules such as glycoproteins, proteoglycans, and glycolipids.

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