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Water structure in solution and crystal molecular dynamics simulations compared to protein crystal structures
Octav Caldararu1, Majda Misini Ignjatović1, Esko Oksanen2
1Department of Theoretical Chemistry, Lund University, Chemical Centre P. O. Box 124 SE-221 00 Lund Sweden Ulf.Ryde@teokem.lu.se +46-46-2228648 +46-46-2224502.
RSC Advances
|May 2, 2022
Summary
Molecular dynamics simulations can accurately reproduce protein hydration structure in crystals. A new local clustering method improves the identification of water sites, aiding protein crystallography.
Area of Science:
- Biophysics
- Computational Biology
- Structural Biology
Background:
- Protein function is dictated by its atomic structure and surrounding solvent.
- Accurate modeling of protein hydration is crucial for computational studies of protein structure.
Purpose of the Study:
- To compare water structure from molecular dynamics (MD) simulations with crystallographic water molecules.
- To evaluate MD simulations in both solution and crystal environments.
- To assess the accuracy of MD in reproducing protein hydration in crystal structures.
Main Methods:
- MD simulations of galectin-3 in complex with ligands were performed in a water box and a crystallographic unit cell.
- Comparison of simulated water positions to crystallographic water molecules.
- Development and application of a local clustering approach to identify and track water sites.
Main Results:
- Direct comparison of water positions showed poor agreement between MD and crystallography.
- The local clustering approach significantly improved the agreement, indicating MD reasonably reproduces crystallographic water structure.
- Crystal MD simulations identified potential unmodeled water molecules in crystal structures.
Conclusions:
- The challenge in reproducing crystallographic water structure lies in identifying dynamic water sites around flexible proteins.
- The local clustering method effectively addresses this challenge, validating MD simulations.
- Crystal MD simulations offer a complementary approach for water identification and modeling in protein crystallography.

