Scrutinizing the protein hydration shell from molecular dynamics simulations against consensus small-angle scattering data

Abstract Biological macromolecules in solution are surrounded by a hydration shell, whose structure differs from the structure of bulk solvent. While the importance of the hydration shell for numerous biological functions is widely acknowledged, it remains unknown how the hydration shell is regulate...

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Bibliographic Details
Main Authors: Johanna-Barbara Linse, Jochen S. Hub
Format: Article
Language:English
Published: Nature Portfolio 2023-12-01
Series:Communications Chemistry
Online Access:https://doi.org/10.1038/s42004-023-01067-1
Description
Summary:Abstract Biological macromolecules in solution are surrounded by a hydration shell, whose structure differs from the structure of bulk solvent. While the importance of the hydration shell for numerous biological functions is widely acknowledged, it remains unknown how the hydration shell is regulated by macromolecular shape and surface composition, mainly because a quantitative probe of the hydration shell structure has been missing. We show that small-angle scattering in solution using X-rays (SAXS) or neutrons (SANS) provide a protein-specific probe of the protein hydration shell that enables quantitative comparison with molecular simulations. Using explicit-solvent SAXS/SANS predictions, we derived the effect of the hydration shell on the radii of gyration R g of five proteins using 18 combinations of protein force field and water model. By comparing computed R g values from SAXS relative to SANS in D2O with consensus SAXS/SANS data from a recent worldwide community effort, we found that several but not all force fields yield a hydration shell contrast in remarkable agreement with experiments. The hydration shell contrast captured by R g values depends strongly on protein charge and geometric shape, thus providing a protein-specific footprint of protein–water interactions and a novel observable for scrutinizing atomistic hydration shell models against experimental data.
ISSN:2399-3669