Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

On Protein Preferential Solvation in Water:Glycerol Mixtures

View through CrossRef
For proteins in solvent mixtures, the relative abundances of each solvent in their solvation shell have a critical impact on their properties. Preferential solvation of a series of proteins in water-glycerol mixtures is studied here over a broad range of solvent compositions via classical molecular dynamics simulations. Our simulation results reveal that the differences between shell and bulk compositions exhibit dramatic changes with solvent composition, temperature and protein nature. In contrast with the simple and widely used picture where glycerol is completely excluded from the protein interface, we show that for aqueous solutions with less than 50% glycerol in volume, protein solvation shells have approximately the same composition as the bulk solvent and proteins are in direct contact with glycerol. We further demonstrate that at high glycerol concentration, glycerol depletion from the solvation shell is largely due to an entropic factor arising from the reduced accessibility of bulky glycerol molecules in protein cavities. The resulting molecular picture is important to understand protein activity and cryopreservation in mixed aqueous solvents.
Title: On Protein Preferential Solvation in Water:Glycerol Mixtures
Description:
For proteins in solvent mixtures, the relative abundances of each solvent in their solvation shell have a critical impact on their properties.
Preferential solvation of a series of proteins in water-glycerol mixtures is studied here over a broad range of solvent compositions via classical molecular dynamics simulations.
Our simulation results reveal that the differences between shell and bulk compositions exhibit dramatic changes with solvent composition, temperature and protein nature.
In contrast with the simple and widely used picture where glycerol is completely excluded from the protein interface, we show that for aqueous solutions with less than 50% glycerol in volume, protein solvation shells have approximately the same composition as the bulk solvent and proteins are in direct contact with glycerol.
We further demonstrate that at high glycerol concentration, glycerol depletion from the solvation shell is largely due to an entropic factor arising from the reduced accessibility of bulky glycerol molecules in protein cavities.
The resulting molecular picture is important to understand protein activity and cryopreservation in mixed aqueous solvents.

Related Results

Endothelial Protein C Receptor
Endothelial Protein C Receptor
IntroductionThe protein C anticoagulant pathway plays a critical role in the negative regulation of the blood clotting response. The pathway is triggered by thrombin, which allows ...
Adiabatic and Non-Adiabatic Effects in Solvation Dynamics
Adiabatic and Non-Adiabatic Effects in Solvation Dynamics
The solvation process may in principle involve more then one adiabatic state. This is referred to as non adiabatic solvation. Adiabatic solvation proceeds on a single electronic po...
A novel CFTR-AQP7 protein complex regulates glycerol transport and motility of human sperm
A novel CFTR-AQP7 protein complex regulates glycerol transport and motility of human sperm
Abstract STUDY QUESTION Does the interaction between CFTR and AQP7 in human spermatozoa play a role in the molecular mech...
Water Self‐Diffusion Coefficient and Staling of White Bread as Affected by Glycerol
Water Self‐Diffusion Coefficient and Staling of White Bread as Affected by Glycerol
ABSTRACTWater self‐diffusion coefficient (D) was investigated in bread crumb during storage to determine the effect of moisture loss and glycerol on the staling mechanism. D increa...
Synthesis, characterization and application of novel ionic liquids
Synthesis, characterization and application of novel ionic liquids
Ionic liquids (ILs) or molten salts at room temperature presently experience significant attention in many areas of chemistry. The most attractive property is the “tenability” of t...
Comparison of Machine-Learning and Classical Force Fields in Simulating the Solvation of Small Organic Molecules in Acetonitrile
Comparison of Machine-Learning and Classical Force Fields in Simulating the Solvation of Small Organic Molecules in Acetonitrile
Machine learning force fields (MLFFs) have emerged as a new method for molecular simulation that combines the accuracy of ab initio approaches with the computational efficiency of ...

Back to Top